United States Environmental Protection Agency
                                    CBP/TRS 7/87

                                      August 1987
               Nitrogen and Phosphorus
    Determinations in Estuarine Waters:
    A Comparison of Methods Used in
             Chesapeake Bay Monitoring
                  U.S. E.P.A. Region m
                 Snicriiiation Resource Center
TD
225
                             p« ••
                             Chesapeake
                                     Bay
                                 Program
035

-------
NITROGEN AND PHOSPHORUS DETERMINATIONS IN ESTUARINE

WATERS: A COMPARISON OF METHODS USED IN CHESAPEAKE BAY

MONITORING12

Christopher F. D'Elia^, Robert E. Magnien4, Carl F. Zimmermann^, Pauline A. Vaas4, Nancy L.
Kaumeyer**, Carolyn W. Keefe^, Diane V. Shaw**, and Kathryr1 V. Wood^


                                     TABLE OF CONTENTS


ABSTRACT                                                                      2
INTRODUCTION                                                                2
   Nutrient Fractions in Estuarine Waters                                          4
   Purpose of Project                                             .                5
MATERIALS AND METHODS                      U.b.  E. P. A. KeglOH HI           5
   study site and Duration                       Information Resource Center        5
   Sample Collection and Analysis                                                 5
      Kjeldahl N                                                                  5
      Alkaline Per.^ulfate Dissolved N and P                                        5
      Acid Persulfate Phosphorus                                                    5
      Inarticulate X                                                               5
      1'articulate P                                                                8
RESULTS AND DISCUSSION                                                      8
   Nitrogen                                                                       8
      Direct vs "By Difference" Particulate N Determination                          8
      Dissolved Kjeldah! N vs Dissolved Alkaline Persulfate N                        1.'!
      Total X  Comparisons         '                                               13
   Phosphorus                                                                    17
      Direct vs "By Difference" Particulate P                                        17
      Acid Persulfate Dissolved P  vs Alkaline Persulfate Dissolved  P                  21
      Total P Comparisons                                                         21
   Cost Comparisons                                                              21
   Detection Limits                                                               24
SUMMARY                                                                      24
RECOMMEXDATIOXS                                                           25
REFERENCES                                                                   25
ACKXOWLEDGMEXTS                                                          26
APPEXDICES                                                                    27
     A.  Field Replicate Graphs WithCoefficientsofDetermination
     B.  Regression Analyses of Comparisons
     C. Analytical Procedures
     D.  Methodological Companions; D'Elia, et al. (1986)
    E. Accuracy of Methods
 A report prepared for the Chesapeake Bay Program Liaison Office, Region III, U.S. Environmental Protection Agency, 410
 Severn Ave., Annapolis, MD 21403.
 Reference No. UMCEES 87-19 CBL.
 Nutrient Analytical Services Laboratory, Chesapeake Biological Laboratory, Center for Environmental and Estuanne Stud-
 ies, University of Maryland, Solomons, MD 20688-0038.

 "HVater Management Administration, Office of Environmental Programs, Department of Health and Mental Hygiene, 201
 W. Preston St., Baltimore, MD 21201.

-------
                  ABSTRACT

 This study was performed to compare standard EPA
 techniques for determining nitrogen and phosphor-
 us concentrations in natural waters with oceano-
 graphic techniques typically employed by estuarine
 and marine scientists. The following comparisons
 were made using samples collected over a four-
 month period and a wide range of salinities from
 Chesapeake Bay:  (1) particulate nitrogen derived
 from direct determination (oceanographic) on par-
 ticulate matter collected on filters vs particulate
 concentrations derived "by difference" (EPA), i.e.
 by determining total Kjeldahl nitrogen on whole
 and filtered water samples and subtracting the two
 to obtain particulate nitrogen; (2) an analogous di-
 rect determination (oceanographic) for particulate
 phosphorus vs a "by difference" determination
 (EPA); (3) dissolved nitrogen and phosphorus deter-
 mination using alkaline persulfate  digestion
 (oceanographic) vs Kjeldahl and acid persulfate di-
 gestion (EPA).
   Direct determinations of particulate N and P
 were more precise (sensitive)  than "by difference"
 techniques. For example, field duplicates for par-
 ticulate nitrogen by the direct approach gave a mean
 concentration of 0.184±0.011 mg N/L vs 0.172±0.125
 mg N/L using the "by difference" technique.  This
 represents a coefficient of variation (CV%) of 5.8%
 vs 72.7%. Alkaline and acid persulfate digestions
 yielded comparable precision for dissolved P, but
 comparisons of two dissolved N techniques were in-
 conclusive owing to the high variance of each.
   Field duplicates from all sampling periods
 showed that the Kjeldahl determination gave a
 mean concentration of 0.434±0.068 mg N/L and al-
 kaline persulfate determination fless nitrate) a
 mean concentration of 0.433±0.062 mg N/L. How-
 ever, for a given sampling period the two techniques
 gave comparable accuracy, at other times not. The
 alkaline persulfate technique provided precision
 (CV% = 9.71%) superior to that for the Kjeldahl tech-
 nique (CV% = 15.81%).
   A cost comparison showed that the more precise
 oceanographic protocols provide a better than 30%
 savings over EPA-required techniques.
   The above technical findings and cost compari-
 sons suggest that in estuarine waters the oceano-
 graphic procedures provide equivalent or superior
 results to those obtained by EPA procedures at a con-
 siderable cost savings.

               INTRODUCTION

 The Chesapeake Bay Program (CBP) was estab-
lished in 1976 by the Environmental Protection
Agency  (EPA) as a  comprehensive estuarine  re-
search and management project.  One  of the first
major goals of CBP was  to determine historical
changes in water quality parameters such as nitro-
gen and phosphorus (Heinle et al. 1980).
  In 1984, the scope of effort was increased to include
comprehensive monitoring  of bay-wide water quali-
ty parameters of which the  various forms of nitrogen
and phosphorus are of prime importance.  This com-
prehensive program involves not only EPA, but the
U.S. Geological Service and  the state agencies  of
Maryland (Office of  Environmental  Programs,
OEP), Virginia (Water Control Board),  and Penn-
sylvania (Department  of Environmental Resourc-
es) as well as local agencies  including the District
of Columbia and  the Metropolitan Washington
Council of Governments. The program includes co-
ordinated monitoring of both the mainstem of the
Bay and major tributaries. Data collected from the
monitoring program will  provide useful informa-
tion for making historical  comparisons, character-
izing  baseline conditions and projecting  future
trends with respect to the  "health" of the bay. The
data should also provide information for developing
mathematical models  and nutrient budgets and
identify the important processes which affect water
quality.  Such scientific information will aid man-
agers in decisionmaking.
  In establishing the  monitoring program, much at-
tention was paid to  selecting sampling times and
stations, but the selection of analytical methods re-
ceived less  scrutiny,  because it was assumed that
standard EPA procedures are satisfactory.  Howev-
er standard EPA methods are oriented to legal re-
quirements. Accordingly,  these standard methods
are often not appropriate for the first choice in re-
search studies, particularly when low environmen-
tal concentrations  or unusual sample matrices are
expected. Thus, the quandry is that most EPA meth-
ods are designed to meet legal constraints for efflu-
ent discharges with  high  nutrient concentrations.
EPA methods have not been evaluated in the  context
of precision,  accuracy, cost or suitability to estu-
arine samples.  [Precision is defined as the repeata-
bility of a given measurement (e.g. the standard de-
viation  of a series of replicate analyses), and accu-
racy refers to the correctness of the data values (Fig.
1)1.
  Such  methodological distinctions  are clearly
made in Sections 106 and 308 of the Clean Water
Act.  Methods used for Section 308 requirements per-
tain to legally sensitive aspects of the National Pol-
lutant Discharge Elimination System (NPDES) ef-
fluent monitoring,  while Section 106 requirements,
which are applicable to pollution research, are more
flexible.
The  Chesapeake Bay Monitoring Program  falls
under the latter category, but state and Federal labo-

-------
ratories involved in analyzing both Section 308 and
Section 106 samples prefer to analyze both types of
samples using the Section 308 mandated methods.
The rationale is that it is more convenient and less
expensive for them to analyze all samples, regard-
less of source, using one method than to utilize a va-
riety of different methods. Accordingly, these labo-
ratories are reluctant to vary from standard Section
308 methods.
  EPA-CBP currently requires all contractors in the
monitoring program to use only EPA-approved, Sec-
tion 308 methods to ensure that comparability  is
maintained both  with historical  data  and among
present programs.  Although comparability is clear-
ly a valid concern, it can be argued that if historical
methods are inadequate,  then comparability is a
moot point. In fact, many of the historical studies in
Chesapeake Bay, funded in part by EPA, have used
the oceanographic techniques.  Furthermore, use  of
seemingly comparable methods by different labora-
tories or by the same laboratory at different times
may also present  intercalibration-related problems,
although  the  oceanographic literature,  at  least,
shows surprising  consistency  for  observations
made by different groups (Kamykowski and Zenta-
ra 1985,1986).
  Because the goals of maintaining historical conti-
nuity and obtaining precise and  accurate data are
not necessarily compatible, the adequacy and appro-
     priateness  of using  EPA-mandated  techniques
     alone has been questioned.   Clearly, the most pre-
     cise and accurate data practically obtainable are re-
     quired to obtain adequate scientific information to
     make  sound  management  decisions and  thereby
     reach program objectives.
      Four important concerns that relate to the bay mo-
     nitoring program are as follows:
      1. Standard EPA limits of detection (i.e.  preci-
     sion) should be improved because they may be inad-
     aquate for many parameters, over much of the Bay,
     during much of the year.  Differences between EPA
     protocols and more precise ones, in most cases, in-
     volve only trivial  changes (such  as  increasing the
     path length of colorimeters in autoanalyzers).  In
     other cases,  alternate protocols should be used.
      2. Standard EPA approaches to the determination
     of particulate nitrogen (PN) and phosphorus (PP)
     may not be satisfactory.  Significant improvements
     may be  realized if these constituents  are   deter-
     mined directly by  a single analysis rather than "by
     difference" of a pair  of analyses,  as required by
     EPA.
      3. Kjeldahl nitrogen  determination is not well es-
     tablished as precise or accurate enough to provide re-
     liable data for estuarine and marine samples. Al-
     ternative techniques, which have  seen favor in ocea-
     nography, such as the total alkaline persulfate tech-
     nique, although more precise, are not well  estab-
                       d
                       o
                      •3
                       CD
                       O
                       d
                       o
                      U
                               0  L
                     Precision
Accuracy
Figure L Diagram to show the difference between precision and accuracy of an analytical determination.
Precision is the repeatability of a given measurement-since there is statistical error associated with any
analytical procedure, repeated determinations on sub samples of water will not be exactly the same, but will
instead fell in a given range. Accuracy, on the other hand relates to the degree of conformity to a standard,
in essence, the correctness of the determination.

-------
a
O :
s :
a>
U
a
o
U
n 1

A

^
	 '4




•^

h. >
Particulate N
r
k'




Dissolved N
r ^

k






r
                                     Total N
 Figure 2. Partitioning of a water sample into par-
 ticulate and dissolved fractions: particulate N
 can be determined directly or by determining to-
 tal N and dissolved N and subtracting the latter
 from the former.

lished  as accurate EPA standard methods.  In the
words of Head (1985), "[the Kjeldahl] method is not
without problems when applied to  saline samples
and the alkaline digestion procedure developed by
Koroleff (see Grasshoff et al. 1983) seems to offer
considerable advantages." Such  alternative tech-
niques should be considered for inclusion in the bay
monitoring  program.
  4. The  analytical  costs associated with standard
EPA-approved protocols may substantially exceed
acceptable alternatives (D'Elia et al. 1986).  The use
of acceptable, more  cost-effective techniques should
be considered by EPA,
  EPA/CBP  provided funds for analytical work  so
that CBL and OEP could compare oceanographic an-
alytical techniques with EPA techniques for Chesa-
peake  Bay samples from June through September,
1986 to evaluate the above concerns.  In  addition,
monitoring data collected between July, 1984 and
May, 1986 was also used in the analysis.   This re-
port was assembled at CBL's initiative to  summar-
ize the results of the methodological comparisons.

Nutrient Fractions in Estuarine Waters

  To understand the analytical questions  at hand,
one must understand clearly how to determine nu-
trient  concentrations in the particulate  and dis-
solved phases.  For a given water sample, the partic-
ulate  phase is operationally defined as that part
which  is retained on a filter pad with a nominal
pore size in the range  of 0.45-1.2 um (Strickland
and Parsons 1972). The water which passes through
the filter, the filtrate, is defined as the dissolved
phase  of a given water sample.  Figure 2 demon-
strates the partitioning of a water sample into dif-
ferent nitrogen fractions.  The same rationale is
applied for  particulate and dissolved carbon and
phosphorus.
  The oceanographic, coastal and estuarine scien-
tific  communities,  have  largely  chosen  direct
measurement of particulate fractions collected on
inert filters  using elemental analysis (Sharp 1974;
Williams 1985; Gardner et al. 1984) or other com-
bustion methods (e.g. Flemer and Biggs 1971) for N
and C, and by combustion (Solorzano  and Sharp
1980) or wet oxidation (Grasshoff et al. 1983; Wil-
liams 1985)  for P.  Elemental analysis is extremely
precise and  offers the  advantage of being a direct
measurement of the particulate fraction collected on
an  inert filter.  Total  nutrient concentrations  are
then obtained by summing the concentrations found
in the particulate and dissolved fractions. But prob-
ably the most important reason for collecting and
measuring the particulate fraction directly is  the
information  that would be lost if only a whole-water
sample were analyzed.  The particulate fraction in-
cludes the biological part of the ecosystem and  the
temporal and spatial variations associated with this
fraction could be overlooked were the analysis  not
made (Head 1985).  Moreover, unlike dissolved so-
lute phases  which mix conservatively between  dif-
ferent water masses,  particulate phases  may,
through sedimentation, repartition nutrients non-
conservatively between one water mass  and anoth-
er.
  Another way to determine the amount of a nutrient
present in the particulate fraction is  "by  differ-
ence." This  is calculated by subtracting the results
obtained from a filtered sample  from the results ob-
tained from  the original unfiltered sample.  This is
the standard EPA protocol.  Figure 3 illustrates how
analytical error may result in  negative values for
rt
o
     O)
     U
     o
    U
        0 L
               Actual Value
Analytical
  Error
 Range
              Dissolved
              Nitrogen
                        Total
                       Nitrogen
 Figure 3. Analytical error can cause negative val-
 ues for particulate N when the "by difference" ap-
 proach is used. Negative particulate N values occur
 when normal analytical error results in higher dis-
 solve than total N values.

-------
particulate N when these are determined "by differ-
ence".   When high dissolved  nitrogen concentra-
tions are present, there is a greater chance of obtain-
ing negative values for PN concentrations.   Ana-
lytical  errors in analysis of carbon  and phosphorus
fractions may also yield negative  particulate val-
ues. Figure 4 shows nitrogen and phosphorus frac-
tions  typically required in studies  of  nutrient-
related processes and Figure 5 compares N and P
fractions determined using standard EPA protocols
(Fig. 5A) and using the typical  oceanographic proto-
cols employed at and advocated by CBL (Fig. 5B).

Purpose of Project

  The major purpose of this project was to use field
data to compare "direct" and "by difference" proce-
dures for  determination of PN and PP.  We  com-
pared results obtained by direct analysis of PN and
PP with those obtained  by subtraction (EPA meth-
ods) on water samples collected from  eight cruises
from June-September, 1986.  We also compared the
dissolved  Kjeldahl nitrogen with an alkaline per-
sulfate nitrogen technique and the acid persulfate
technique  with the alkaline persulfate technique for
dissolved phosphorus.  By conducting all analyses
on the  same water samples, we were better able to
compare the various methods.
  Data from EPA's Central Regional Laboratory
(CRL)  in  Annapolis, which  analyzed  Maryland
mainstem  samples from June, 1984 to May, 1985, are
also presented to provide additional comparisons.

  Specific questions addressed in this report are:

  1. Is the value derived from subtracting dissolved
from unfiltered  Kjeldahl analyses comparable to
that obtained by the direct measurement of PN with
an  elemental analyzer?
  2.  Is the precision obtained using the dissolved
Kjeldahl technique comparable to that obtained us-
ing the alkaline persulfate dissolved N technique?
  3.  Are whole water nitrogen concentrations ob-
tained  by  these alternative techniques comparable?
  4.  Is the value derived from subtracting dis-
solved acid persulfate  P values  from the  same
whole-water sample comparable to  the direct meas-
urement of PP using a combustion technique?
  5.  Are  the results obtained using the dissolved
acid persulfate technique for dissolved P compara-
ble to those obtained using the alkaline persulfate
technique?
  6.  Are  whole-water phosphorus concentrations
obtained by these alternative  techniques compara-
ble?
         MATERIALS AND METHODS

Study Site and Duration

  A total of 22 stations located  in the Maryland
mainstem portion of the Chesapeake Bay were sam-
pled on eight occasions from June to September, 1986
at approximate two-week intervals.  This portion of
the Bay spans the range of conditions normally
found in Chesapeake Bay from tidal freshwater to
salinities exceeding 20 ppt. Samples were collected
at surface, bottom, and above and below the pycno-
cline.  Field duplicates (subsamples from one water
sample) were also taken, yielding  a total of 92 sam-
ples for each of the analyses for  each of the eight
cruises.

Sample Collection and Analysis

  All water samples were collected using a submer-
sible pump system. Where applicable, samples were
filtered through GF/F glass fiber filters (nominal
pore size, 0.7-um).  Particalate samples on filters
were kept frozen until analysis (usually less than 20
days).
  Kjeldahl Nitrogen.  Filtered and unfiltered sam-
ples were placed  in  acid washed 50-ml  plastic,
screw-cap, centrifuge tubes and two drops of concen-
trated sulfuric acid were added as a preservative.
The samples were then refrigerated at 4 degrees C
until digestion.  Twenty-five ml  samples  were di-
gested using a 40-tube block digestor and analyzed
for nitrogen  according to  EPA  method 351.2
(U.S.E.P.A. 1979) for the June  samples. The July-
September samples were analyzed using a slight
modification employed by Old Dominion Universi-
ty personnel of EPA method 351.2, in which Teflon
boiling balls were substituted for boiling chips in the
digestion.
  Alkaline  Persulfate  Dissolved Nitrogen  and
Phosphorus.  Filtered, ten-mi samples were placed
in 30-ml glass test tubes and frozen until analysis.
The method used is based on that of D'Elia et  al.
(1977), Glibert et al. (1976), and Ebina et al. (1983)
where nitrate and phosphate are hydrolyzed from or-
ganic N and P compounds by oxidation with potas-
sium persulfate.
  Acid Persulfate Phosphorus.  Twenty ml of fil-
tered or unfiltered  water were  placed in 30-ml
screw-cap test tubes and frozen until analysis.  The
procedure used  was  that of Menzel and Corwin
(1965) and EPA method 365.2, where phosphate is hy-
drolyzed from organic P compounds by persulfate
oxidation.
  Particulate Nitrogen.  A known  volume of sample
(usually >200 ml) was filtered through a precom-
busted  25-mm GF/F  filter.   Particulate  analyses

-------
A.                 WHOLE WATER SAMPLE
                       TOTAL NITROGEN
                             (TN)
           	I	
           I                                        I
  'Particulate" Nitrogen                  Total "Dissolved* Nitrogen
          (PN)                                  (TON)

                        ,	I
                        I                               I
          "Dissolved" Inorganic Nitrogen     Dissolved "Organic"  Nitrogen
                      (DIN)                         (DON)
                                     I
         Nitrate       Nitrite      Ammonium
 B.                 WHOLE WATER SAMPLE
                     TOTAL PHOSPHORUS
                             (TP)
            	I	
            I                                       I
"Particulate" Phosphorus             Total "Dissolved* Phosphorus
          (PP)                                    (TOP)
                        I                               1
     "Dissolved" Inorganic Phosphorus       Dissolved "Organic" Phosphorus
                  (DIP)                              (OOP)

               also called
       Phosphate or Orthophosphate
                Figure 4. Nitrogen (A) and phosphorus (B) fractions
                  typically determined in water quality studies.

-------
CD
c
CO

i
CD

CD

a
            E
                      CD
                      w
                      CD
                   Q. CD
                      CP
                      a.
                      o
                        CD
   CL

   O

    I


   "•o*
    CD

    *



 d. *""*


•g.

   £

   3
    m
    h.
    CD
   Q.
                                                                                  Q.

                                                                                  5

                                                                                  I
                                                                   •o
                                                                    CD
                                                     I
                                                     10
                                                     n
                                                     a

                                                     O)
                                                          c
                                                          E
                                       •O co
                                       ££
                                       a 3
                                 QO
a
UJ
a
tr
<
H
eo

O
                L-8-
                                       •D —

                                       Si
                                       •s
                                       >>"5
                                       CO o
                      » 2

                     !*
                      CD '
                     a.
                     5
                                                  0
                                     tr
                                     o
                                     o
                                     z
                                     <
                                     UJ
                                     o
                                     o
                                            o
                                            a
                                                                    CD
                                                                    CL
                                                              =

                                                              «
                                                                            e
                                                                            to
e P
Alka
omated
cedures
1
DIP
043-)

d aut
c pro
DI
P0
                                   C
                                   O

                                , e- c
                                                              u
                                                              co
By standard
colorimetric
                                    X
                                    Z

                                    I

                                                                                        f
                                                                                        a
                                                                                         i
                                                                                        •jjf
                                                                                         co
                      'n
                      O
                      Z

                   z *
                   o
CL
01

Q
Of
<
Q
Z
<

(0
Kjeldah
                        CO
                      '
               |2
               1..S
                      CO
                      p

                      CD
                                    £
                                    a
                                    •o
                                    I*
                       Z
                       •f

                       'o
                       O
                       5
                                             i
                                                 co £
                                           -0 °










^^
m
o
i 5"
a.
<
CC.
O
O
Z
<
111
UJ
o
o
z2
« ^,
f.
S 8>
Z **
is § • 	
o
I
CO
5
o>
u.
i
O
!
ci









K 3
(0
k.
CD
CL
CD
w
CO
J£
«M*

i — o •
OB
~s
CO
w
CD
CL
e
j:
"5
£ 4- tJ
<
^•^
^•^
%
X
z2
Q •»•
. N
^^ -^
>- o
£ z
<£ ^*
_* £ •>
— 5 o £
z E =
0 T3
*• CD
5g
ow^a
Z «£
c i
0 O
» J
1 ^
L« >o
'« § - o
0 9 < °
» s
to
_ z >•
                                                                        0.  a

-------
were performed using a Control Equipment Inc.
Model 240-XA Elemental Analyzer. Combustion of
the sample occurs in pure oxygen at high tempera-
ture. The combustion products (N2, CC>2, and I^O)
are  then  analyzed  automatically  in a self-
integrating, steady-state, thermal conductivity an-
alyzer.  All results and calculations are processed
by a Hewlett-Packard model 150 computer.
  Particulate Phosphorus.  A known volume of wa-
ter (>250 ml) was filtered through a 47-mm GF/F
filter. Prior to extraction,  the filter pad was com-
busted at 550 degrees C for 1.5 h, cooled overnight
and then extracted in 10 ml of 1.0 N HC1 for at least
24 hours (Aspila et al. 1976). The supernatant was
then analyzed for phosphate.
  A complete description of the methods utilized in
this study can be found in the CBL Nutrient Ana-
lytical   Services   Laboratory  methods  book
(Appendix C) and D'Elia et al. (1986-Appendix D).

 RESULTS AND DISCUSSION

Nitrogen

Direct vs By Difference" Particulate Nitrogen De-
termination. The direct measurement of particu-
late nitrogen (PN) gave better precision and con-
sistently more  plausible values  than did the  "by
difference" technique.  This result is to be expected
on the basis of statistical considerations  alone.
When  dissolved inorganic nitrogen values  are
high, more negative particulate values are likely to
occur with  the  "by  difference" technique because
taking the difference between two large values with
relatively great percentage error often yields nega-
tive values (Fig. 3).
  Table 1 is based on CBL/OEP Quality Assurance/
Quality Control (QA/QC) data from duplicate field
samples collected  during June-Sept.  1986;  it
presents comparative values obtained from the di-
rect measurement  of particulate N and from  the
"by difference"  technique (see also Appendix A).
The use  of field blanks in determining detection
limits has been  recommended  by experts in QA/QC
(Analytical Methods Committee 1987).   The over-
all  mean particulate  N concentrations as deter-
mined by both methods were close, although the di-
rect measurement of PN yielded more than an or-
der-of-magnitude  increase  in  precision.    In-
creased precision may be very desirable  if one
wants to characterize the particulate material in
bay waters (see  below).
  The comparison  of  PN  concentrations  deter-
mined by the two  techniques on the same  water
samples between June and September, 1986 is pre-
sented in Figure 6.  Negative particulate values oc-
curred when they were calculated "by difference"
from the Kjeldahl measurements but only positive
values were obtained from  the direct  measure-
ments. The slope of this line is  0.610 (July - Sept.
1986; Appendix B).
   Comparability varied with  sampling period.  The
July data, for which an improved Kjeldahl tech-
nique had been implemented,  show fewer data
points in the negative range and the data clearly fol-
low the line of 1:1  comparability (Fig. 7A).   Note,
however, that July is the period of highest particulate
and lowest dissolved nitrogen levels (i.e. the high-
est "signal-to-noise" relationship), when the  "by
difference" technique would be expected to produce
the best data. Data for other months have lower PN
concentrations relative to total N, and show more
negative "by difference" values and poorer correla-
tions with PN determined directly (Fig. 7B).  Clear-
ly then, the range of concentrations found affects the
results.  When concentrations are higher, such as
for the July data, the relationship between the  two
methods  is good. However, the relative variation in
the EPA method is much more evident in the lower
concentration ranges because the Kjeldahl method
is imprecise and "by difference" errors propagate
additively (Table 1).
  Figure  8A presents data analyzed at  EPA/CRL
from June, 1984 to May, 1985 in which PN concentra-
tions are calculated "by difference" between whole-
water and dissolved Kjeldahl nitrogen values on
duplicate subsamples of single, field samples. This
is part of the CBL/OEP-QA/QC program and ideally
should result in 1:1  correspondence, high corelation
(r=1.0), and no negative values.  However, the cor-
relation obtained by regression of PN duplicates by
difference is obviously  low (r2  = 0.03) and many
negative  values occur.
  Figure 8B presents PN data  analyzed at CBL from
May, 1985 to June, 1986 on duplicate samples using
the direct measurement technique.  The most impor-
tant differences in protocol between the study periods
represented in Fig. 8A and 8B  are the analytical
techniques used  and the laboratory performing  the
analyses—all field  sampling  activities  remained
identical.  As it should in theory do, the direct deter-
mination resulted in a high correlation coefficient
(r2 = 0.91) and no negative values.  Thus, precision
in the determination of particulate fractions is vast-
ly improved by direct determination.
  A way to test the accuracy of analytical results is to
compare the data obtained with an independent var-
iable. Fig. 9 shows the results of scatterplots of the
above PN data against corresponding PC data.  Fig.
9A gives  the June, 1984 to May, 1985 data when PC
was also obtained using a by-difference technique.
Fig. 9B gives comparable data analyzed by elemen-
tal analysis at CBL for the study period May, 1985 to
June, 1986. Clearly, the data in Fig. 9A demonstrate

-------
Figure 6. Scatterplot of particulate nitrogen determined by the "by difference" (EPA) vs "direct?1 (CBL) pro-
  cedures.
  CD
  00
  O)
  I-
  CL
LU
Z
D
                                                                               U
                                                                               O
                                                                               z
                                                                               U
                                                                                 b_
                                                                                 u.
                                                                               >-
                                                                               CO
                                                                                 u
                                                                                 <
                                                                                 D
                                                                                 O
                                                                                 h-
                                      i-     OOOOOOOOO
                          N
                                                 io3aia

-------
cedures: (A) During July, 1986, and (B) August, 1986.
   z

   LJ


   3

   o
   H-
   flC
   o
   Ul
   ce
                           JULY  15-17,   1986
          -0.1
                              PARTICULATE N BY DIFFERENCE
                        AUGUST  25-
27,
1986
   z

   Ul

   5

   o
   a
   cc
          -0.3
                              PARTICULATE N BY DIFFERENCE

-------
    Figure 8. Scatterplots of field duplicates (Le. two independent determinations on duplicate samples) for par-

      ticulate nitrogen determined by (A) the "by difference" (EPA) and (B) "direct" (CBL) procedures. Note

      that the ideal relationship would be Id with an r2 of LO.
J.

Ll
 0.4-


 0.3-


.0.2-
  0.0-
          A
              = .03
                    0.0
                                0.I          0.2
                                     RER   I
0.3
 0.61
J0.4-
c
J
t:
 0.2-
 0.0
         B
                            0.2
                                                 0.4
                                    RER
0.4
              0.6

-------
ship between PC aid PNfor a given sample should normally be approximately 6:1 or higher. S = Surface
and AP = Above Pyconodine.
     PN VS PC (S + AP VALUES)— 01JULB4-15MAY65
       0.5 1

       8.5

       0.H 1
     P
     N 0.3-

       0.2 '
     N
     G
 0.1 '

 0.0 '

-0.1

-0.2 '

-0.3 -
          -1
                  123

                        PC    HG/L
     PN VS PC (S -t- AP VALUES)— 16MAY65-30SEPB5
     n
     0
 0.5

 0.5 "

 3.M •

 0.3 '

 0.2 •

 0.1 •

 8.0 "

-0.1

-3.2 1

-0.3
          -1
             B
                        2

                        PC
  3

MG/L

-------
the high variability of the two "by difference" tech-
niques and show no obvious correlation.  On the oth-
er hand, the data in Fig. 9B show a strong correla-
tion between PC and PN, as expected from previous
studies  (Flemer and Biggs 1971).  Correlations be-
tween PC and PN obtained  by difference seem im-
plausible, whereas those obtained directly provide
interpretable results.
  Dissolved Kjeldahl Nitrogen vs Dissolved Alka-
line Persulfate Nitrogen. Monthly comparisons be-
tween the dissolved  Kjeldahl methodology  and al-
kaline  persulfate  total  dissolved methodology
(minus nitrate and nitrite, for comparability, since
the Kjeldahl digestion cannot convert these oxidized
forms to ammonium) are presented in Figure 10.
  We felt unsatisfied with our Kjeldahl methodology
through June, which was the same as practiced  at
EPA Central Regional Laboratory and as discussed
by D'Elia et al. (1986).  Colleagues at Old Dominion
University recommended that we use their slight
modifications to the  Kjeldahl method for the July-
September samples; these modifications improved
the analyses immensely. The July-September  data
set demonstrates  closer comparability of these two
methods.  When  alkaline  persulfate dissolved  N
was compared to  dissolved Kjeldahl N  plus  nitrite
and nitrate, a  slope   of 0.849  was determined
(Appendix B, Fig. B.3).  The range of dissolved  N
measured by the two methods was similar, from ap-
proximately 0.2 to 0.8 mg N/L, with the majority of
values between 0.3 to 0.6 mg N/L (Fig. 10A); corre-
sponding total dissolved. N values  ranged from ca.
0.2 to 1.5 mg N/L (Fig. 10B). Accordingly, analyti-
cal variance (Table 1) is high relative to the range of
values encountered.  This variance greatly compli-
cates the comparison.
  A convenient way to examine analytical error as
a function of analyte concentration is to plot the per-
cent coefficient of variation  (CV%) of replicates vs
mean replicate concentration. Fig. 11 shows that for
field duplicates, the CV% decreases from approxi-
mately 15% at 0.3 mg N/L to less than ca. 10% at 1.0
mg N/L.  In contrast, for Kjeldahl dissolved N, the
CV% appears much higher at all concentrations.
  Total Nitrogen  Comparisons.   Total nitrogen
comparisons were made from CBL data collected be-
tween July and Sept., 1986 after implementation of
improved Kjeldahl techniques.  Total nitrogen was
calculated first by summing the alkaline  persulfate
total dissolved nitrogen  and PN, and then by sum-
ming dissolved Kjeldahl N, nitrate plus nitrite and
PN.  Each  of these two calculated values  were  com-
pared with the total  nitrogen calculated from the
sum of whole water Kjeldahl analysis plus nitrate
and  nitrite.  These  comparisons are shown in Fig.
12 for log-transformed data.  This transformation
 Table L Comparison of field duplicate samples for particulate nitrogen and phosphorus determined by the di-
 rect and "by difference" techniques, June - Sept, 1986. Also compared are dissolved phosphorus samples us-
 ing the alkaline and acid persulfate techniques, and dissolved nitrogen using the Kjeldahl and alkaline
 persulfate techniques for the same time period. The paired comparisons reflect equivalent determinations.
 "Kjeldahl" [in quotes] signifies dissolved organic nitrogen plus ammonia, while Kjeldahl [no quotes] sig-
 nifies the Kjeldahl procedure specifically.

Particulate N
Direct
"By Difference"
Particulate P
Direct
"By Difference"
Dissolved N
Alkaline Persulfate
Kjeldahl + Nitrate
"Kjeldahl" Dissolved N
Alk. Pers. - Nitrate
Kjeldahl
Dissolved P
Alkaline Persulfate
Acid Persulfate
Number
of Paired
Samples

63
60
64
61
63
61
63
61
63
62
Mean
(mg/L)

0.180
0.172
0.021
0.025
0.615
0.633
0.433
0.434
0.0238
0.0276
Standard
Deviation

0.011
0.125
0.002
0.006
0.060
0.070
0.062
0.068
0.0049
0.0037
Coefficient
of Variation

5.80
72.7
10.6
23.9
9.71
11.0
14.4
15.8
20.7
13.3
Coefficient
of Determination

0.995
0.659
0.990
0.835
0.889

0.905
0.929
0.958

-------
Figure 10. Scatterplots of (A) dissolved Kjeldahl nitrogen (i.e. dissolved organic nitrogen plus ammonium)
   determined by Kjeldahl digestion (x-axis) or by alkaline persulfate digestion minus nitrate+nitrite (y-
   axis), and (B) dissolved nitrogen (i.e. dissolved inorganic plus organic nitrogen) determined by Kjeldahl
   digestion plus nitrate+nitrite (x-axis) and alkaline persulfate digestion.

                                    JUNE-SEPT.,  1986
                   N
                   o
                   z
                   I
                   \s
                   y
                   D
                   i
                   L
                   U
                   Z
                   J
                   <
                      1.1
 1 -
0.9-
0.8-
0.7-
0.6-
0.5-
0.4-
0.3-
0.2-
0.1 -
 0-
                                 0.2      0.4       0.6      0.8
                                         DISSOLVED KJELDAHL N
                                     JUNE-SEPT.,  1986
                   U
                   10
                   c
                   u
                   D.
                   O
                   u
                   0
                   10
                   V)
                   5
 1.5
 1.4-
 1.3-
 1.2-
 1.1 -
  1 -
 0.9-
 0.8-
 0.7-
 0.6-
 0.5-
 0.4-
 0.3-
 0.2-
 0.1 -
  0
                              B
                                                  4- 0
                                i   i   i   i   i   i   r   i   i   i   i   i   i
                               0.2    0.4    0.6     0.8      1     1.2    1.4
                                       DISSOLVED N (KJELDAHL+N023)

-------
Figure 11. Coefficient of variation us concentration for field duplicates using (A) alkaline persulfate nitro-
  gen determination, and (B) Kjeldahl nitrogen determination.
                              FIELD   DUPLICATES
                                      JUNE-SEPT., 1986

M
O
"o
V
I
"o
g
L!
o
"o
M-

-------
      1.H0

      1.30
    L
    0 1.20
    G
    T 1.10

    N 1.00

    " 0.90
    P
    N 0.80

    * 0.10
    T
    D 0.60
    N
      0.50

      8.H0 H

          0
                                        Slope = 0.644
       1	1	1	1	1	1	1       I      I       I

H0   0.50   0.60   0.10   0.80   0.90   1.00   1.10   1.20   1.30   1.H0

                     . LOG TN = TKNU * N023
      1.H0 1

    L 1.30
    0
    G 1.20
    N
      1.10 -
    p 1.00
    N
    * 0.90
    T
    K 0.80
    N
    •; 0.10

    0 0.60
    2
    3 0.50

      0.H0 H
   B
                                        Slope = 0.724
            i      i	1	1	1	1	1	1	1	,	r
            H0   0.50   0.60   0.70   0.80  0.90   1.00   1.10   1.20   1.30   1.H0

                                  LOG TN = TKNU  +  N023
Figure 12. Comparison between (A) total nitrogen determined by total Ejeldahl plus nitrate+nitrite detenr
   nation (x-axis) and bydirect particulate determination plus dissolved nitrogen by alkaline persulfate d
   termination, and (B) direct particulate N determination plus dissolved nitrogen by Kjeldahl and r
   trate+nitrite determinations. Values have been Iog10 transformed. Solid line is least-squares best fi
   Dashed line denotes equivalence.

-------
Table 2. Slope Coefficients for Log/Log Models with unrestricted intercept terms. DF= degrees of freedom; r
= coefficient of determination; LB = Lower Bound of 95% Confidence Interval for the Slope parameter; UB =
Upper Bound of 95% CJ. for Slope. TN = Total Nitrogen, PN = Particulate Nitrogen (Direct), TON = Alka-
line Persulfate Dissolved Nitrogen, TKNT = Ejeldahl Nitrogen unfiltered, NO23 = Nitrate+Nitrite, TKND
= Kjeldahl Nitrogen Dissolved, TP = Total Phosphorus, PP = Particulate Phosphorus (Direct), TOP = Alka-
line Persulfate Dissolved Phosphorus, APUP = Acid Persulfate Phosphorus unfiltered, APDP = Acid Persul-
fete Phosphorus Dissolved.
Comparison
D.F.
r2
Slope
LB
UB
(TN = PN + TDN)
vs. (TN = TKNT + N023)

(TN = TKND + NO23 + PN)
vs. (TKNT + N023)

(TP = PP + TDP)
vs. APUP

(TP = PP + APDP)
vs. APUP
526
527
731
730
0.66
0.66
0.85
0.88
0.644


0.724


1.150


 0.988
0.604


0.678


1.108


0.957
0.684


0.769


1.192


1.019
stabilized variance as well as provided a more even
distribution of data along the tested range of values.
Coefficients of determination, slopes and 95% confi-
dence intervals of the slope for linear regressions of
this comparison are presented in Table 2.  The ap-
propriate model for comparing these values is a bi-
variate normal correlation model which does not
assume dependent or independent variables. How-
ever, the equivalence of this model with the normal
error regression model permits conditional infer-
ences to be made using standard regression tech-
niques (Neter and Wasserman 1974, p. 402-403).
  The slopes for both comparisons are significantly
different from 1 (Table 2) and the least-squares re-
gression line intersects the equivalence  line some-
where near the median values. The total nitrogen
calculation using  dissolved  Kjeldahl  nitrogen
(Fig. 12B) appears to provide somewhat better corre-
spondence, although spurious correlation problems
may be responsible for this since both X and Y val-
ues may include nitrate as a major component.  For
both comparisons,  the differences between tech-
niques are greatest for either low or high  values,
suggesting a  concentration-related effect. The
causes for this divergence have not yet been exam-
ined.  The Kjeldahl  analysis would more likely be
affected by changes in concentration than would di-
rect particulate analysis.  This occurs because the
quantity of particulate material retained on filters
is determined by the quantity of particulates in the
water at the time the sample is collected. More water
is passed through the filters when particulate sam-
                 ples are low  than when concentrations are high.
                 Thus, the range in amount of material actually re-
                 tained on the filter pad is much lower than the range
                 of concentrations present in the sample.

                 Phosphorus

                 Direct vs "By Difference" Particulate  Phosphorus
                 Determination.  Comparison of these  two methods
                 showed the direct measurement (r^ = 0.990) to be
                 more precise than "by difference" (r^ = 0.835, Table
                 1). Concentrations determined by the  direct meas-
                 urement of particulate  P were generally slightly
                 lower than those values obtained "by difference,"
                 but followed the line of 1:1 comparability quite  well
                 (Fig. 13) and  a slope of 0.702 was obtained for  this
                 comparison (Appendix B).  Several negative values
                 occurred for PP determined "by difference," but no
                 negative values resulted from direct PP determina-
                 tion.
                   National Bureau of Standards  (NBS) reference
                 material 1646 (estuarine sediment) was analyzed
                 using the direct measurement protocol.  The certi-
                 fied concentration of phosphorus (weight %) was re-
                 ported by NBS to be 0.054±0.005.  CBL obtained a  val-
                 ue of 0.049, which is within the standard deviation of
                 the analysis.
                   A graphical and statistical comparison of dupli-
                 cate analyses of water samples for particulate  P is
                 presented in Figure 14. Figure 14A presents PP data
                 determined "by difference" at EPA/CRL for the per-
                 iod June, 1984 - May, 1985. Fig. 14B presents data

-------
Figure 13. Scatterplots of particulate phosphorus determination by "by difference" determination (x-axis) vs

  by "direct" determination (y-axis).
   (D

   00

   O)
   h-
   CL
   LJ
   LJ

                                     u
                                     o
                                     z
                                     LJ
                                     o:
                                     LU
                                     Lu
                                     Lu
                                     00

                                     Q.

                                     LJ

                                     5

                                     D
                                     O




                                     Q.
             ooooooooo
ooooooooo
                                                  i03dia

-------
                      uupucaies u.e. cwo inaepenaent determinations on duplicate samples) forpar-
     ticulate phosphorus determined by (A) the 'by difference" (EPA) and (B) "direct* (CBL) procedures. Note
     that the ideal relationship would be Id with an r2 of 1.0.
OJ

QJ
LiJ
o:
 .15-

 .10-

.05-

00-

.05-
           A

           R2=.IO
                 -  .05
   .081
   •06-j
OJ
           B
                           .00       .05
                               REP   I
       .00
                  .02
   .04
REP.  I
.06
                      .10        .15
.08

-------
  equivalence.
            t/er?>ujj.aitt uissuivea r determination (y-axis) on auplicate samples. Solid line denot
CD
00
CL
D
                                                                         Q
                                                                         U
O



Q

U
                                                                         D
                                                                         V)

                                                                         Ul
                                                                         Q.

                                                                         Q

                                                                         O
                    d 'SSIQ  31VJinSd3d  3NllV>ilV

-------
analyzed at CBL using direct PP determination for
the period May, 1985 - June, 1986.  The data for PP
duplicates "by difference" produces many negative
values and is obviously more variable (r^ = 0.10)
than PP determined directly (r^ = 0.92). Thus preci-
sion is vastly improved by PP direct determination.
Appendix A presents r^ values of field duplicates for
the present study.
 Acid Persulfate Dissolved Phosphorus  vs. Alka-
line Persulfate Dissolved Phosphorus.  Data from
the two alternative methods for determining total
dissolved phosphorus are presented in Table 1 and
Figure 15.  A slope of 0.954 indicates a strong equi-
valence between the two methods.  The acid persul-
fate dissolved  phosphorus  technique  produced
slightly higher values than the alkaline persulfate
dissolved P method. Although both  methods give ex-
cellent percent  recoveries of organic phosphorus
compounds, the difference may relate to the internal
dilution of the alkaline persulfate  method.  An in-
ternal'dilution factor of 2.85 is used  to extend the an-
alytical range in this method as it  is routinely per-
formed at CBL. For low concentration periods of the
year, the precision is less than that obtained using
acid persulfate digestion.  However, in practice, the
differences encountered are slight  and the  internal
dilution factor can be adjusted as needed for future
work.
  Total Phosphorus Comparisons.    Comparisons
between total phosphorus determined directly by the
acid persulfate digestion on a whole water sample
and total phosphorus obtained by  summing the di-
rect determination of the particulate fraction with
dissolved phosphorus determined with either the al-
kaline persulfate or acid  persulfate methods were
very comparable. Comparisons of  the two methods
with total acid persulfate P are shown in Fig. 16 for
log-transformed data collected on  cruises between
June  and Sept., 1986. This transformation stabi-
lized variance as well as provided  a more even dis-
tribution of data along the tested range of values.
Coefficients of determination, slopes and 95% confi-
dence intervals of the slope for linear regressions of
this comparison, are presented in Table  2.  The
slopes of both regression  lines are very close to  1
and, in the case of the acid persulfate dissolved plus
particulate P comparison, a slope of 1 is included in
the 95% confidence interval. The very high number
of degrees of freedom produce very tight confidence
intervals, and these intervals should  be judged in
light of other sources of variation inherent in the
nutrient  determinations.  The regression lines are
also very close to the equivalence lines indicating
very close correspondence between  these alternative
techniques.
  Comparison of PP derived "by  difference" (Fig.
17A) and directly (Fig. 17B) with  an independent
variable, PN, clearly showed the superiority of di-
rect determination for reasons discussed above.

Cost Comparisons

  In  comparison with  EPA-mandated  methods,
those recommended by  CBL and routinely  per-
formed in our laboratory (direct measurement of
PC, PN,  and PP; alkaline persulfate dissolved N
and P) can result in a substantial savings of ana-
lytical costs while improving sensitivity and turna-
round time.
  The reasons are twofold. First, unlike the alka-
line persulfate method, the analysis of Kjeldahl ni-
trogen is a very time-consuming, tedious and haz-
ardous process:  the cost per sample reflects this
(D'Elia et al. 1986).  An additional carbon analysis
is also required for the whole-water C fraction.  Sec-
ondly, particulate C and N concentrations are de-
termined simultaneously,  thus eliminating the
need for two separate analyses. The same is true for
the alkaline persulfate technique that is used to di-
gest dissolved N  and P together.
  A cost breakdown is presented in Table 3. During
a one year (20-cruise period), a  savings of $76,000
(including 20%  overhead) could be  realized  in
CBL's contract alone.  Any  additional start-up  costs

 Table 3. Analytical costs associated with CBL-
 recommended methods and EPA-required meth-
 ods based on present per-sample charges and re-
 quirements of Chesapeake Monitoring Program.

                                 CBL    EPA
 Inorganic Nutrientsa'b
 Suspended Solids8-**
 Dissolved Organic Ca-b
 Whole-water Organic Ca
 Dissolved Kjeldahl Na
 Whole-water Kjeldahl Na
 Acid Persulfate Dissolved Pa
 Acid Persulfate Whole-water Pa
 Particulate C and Nb
 Alkaline Persulfate N and Pb
 Particulate Pb

                    Total:


 Percent Savings: 33.3%
$17.50  $17.50
  3.75     3.75
 15.00   15.00
         15.00
         18.50
         18.50
  —       8.00
          8.00
 10.00
 11.50
 11.75

 $69.50 $104.25
 aRequired by EPA.
 bRecommended by CBL and OEP.

-------
      P
      P
1.H0 -


1.20 '


1.00 '


0.80 •


0.60 '
      J 0.H0 -j

      P

        0.20 1
        0.00 H
                                                          Slope= I.I5I
            0.00     0.20     0.H0     0.60      0.80      1.00

                                    LOG TP  = DIRECT ftCID
                                                           1.20
                                                                1.H0
        1.H0 1
      L
      0
      G 1.20 1

      T
      P 1.00 -


      p 0.80 -

      P

      „ 0.60 -
      D 0.H0 -
      P
      a
      C 0.20 -\
        0.00 "I
         B
                                                      Slope = 0.988
     'I'"'' | ' ' ' i i i i i i | i i i i » < i i i | ill i . i i i i | i i i , i ! ! r

0.00     0.20      0.H0      0.50      0.80     1.00


                        LOG  TP =  DIRECT fiCID
                                                                   1.20
                                                                    1.H0
kalLne persulfete determination, and (B) total phosphorus determined by the whole-water acid persulfate
phosphorus procedure (x-axis) and by direct participate phosphorus determination plus dissolved phos-
phorus by acid persulfate determination. Values have been logw transformed.  Solid line is least-

squares best fit. Dashed line denotes equivalence.

-------
            PN VS PP (5 4- AP VALUES)	01JULB4-15MAY



§gi
J S tf

S "e wo
grt Jjjj **2
55 "* r^
•S af S
0.6 •
|
e.M •
p
N 0.3 -

8.2 •

0.1 •
g 3 I-H ! W
US 1 8-°-
*•£ 1 -0-1 •
O rt P
^^ ofi *S
fe fi g "s"2 "
2 S & .0.3 i

A

t "*"
4- *^*- "*" +
4 •H""l"+- ^.
i "*" 4-
i^t •fct't^'%* ^H- * •*•
ff"^^^*(tffiS"t^^i •* •*4> ^f "*" 44



•h


^^^ -6.025 6.860 6.625 8.650 6.615 8.1
1"! £ PP MG/L
•a-si
ii
Sis
 -S5
5 o
   C8


fill
s< S
*" ^ o
 ^.S^w
E
PN VS PP (S 4- AP VALUES) — 16MAY85-30SEI
  8.5



  0.5



  0.M



  0.3
              *« <^
              10.e
              0.1
B
PI
G

L








0

-0
-0
-0





.0 '

.1 •
.2 -
.3 •
'ti£ T •*-
4






-6.025 6.880 8.625 6.850 6.815 8.3
PP MG/L

-------
required  for  initiating elemental analysis  are
quickly offset through more efficient personnel use
and higher sample  throughput and convenience.
Furthermore,  modern instruments for elemental
analysis are more reliable and easy to operate than
those introduced two decades ago.

Detection Limits

  We emphasize that although using the alternative
techniques recommended by CBL  reduces costs, it
does not reduce analytical sensitivity: in fact, it
generally  increases precision  (Table 4), and accu-
racy is not affected (Appendix E).

                  SUMMARY

   1. Field replicate data indicates that the  direct
measurement of particulate N is more precise (for
replicates, r^=0.995) than the "by  difference" tech-
nique (for replicates, 1-2=0.621).  When the two meth-
ods were compared to each other, a slope of 0.610 was
obtained, an artifact of the unequal variances of the
two methods.
   2.  Kjeldahl and persulfate N techniques  deter-
mine different things, and therefore are not directly
comparable without correction.  A slope of 0.724 was
obtained when  total nitrogen (direct particulate N,
                dissolved Kjeldahl N and nitrite plus nitrate) was
                compared to Total Kjeldahl N and nitrite plus ni-
                trate while total nitrogen (direct particulate N and
                alkaline persulfate dissolved N) compared to total
                kjeldahl N and nitrite plus nitrate yielded a slope of
                0.644. The persulfate technique is more precise than
                the Kjeldahl technique, however, when derivative
                total  N or dissolved  organic N values are obtained,
                the precision of the two is nearly equal.  The persul-
                fate technique  is much easier to perform and costs
                less.  Based on the present study, neither can be re-
                lied upon to yield quantitative recovery  of  dis-
                solved organic  nitrogen, and it is erroneous to as-
                sume that the Kjeldahl technique is a true standard
                for comparison  with other techniques.
                   3.  Comparison of  whole water  total nitrogen
                methods indicated that the precision of field repli-
                cates analyzed  by the direct measurement of partic-
                ulate N combined with dissolved kjeldahl N and ni-
                trite plus nitrate were exactly the same as total N
                calculated with particulate N (direct) plus alkaline
                persulfate dissolved N (r2=0.954).
                   4.  Field replicate data indicate that the direct
                measurement  of  particulate  P  is more  precise
                (r2=0.990)  than  the  "by  difference"  technique
                (r2=0.835).  When the data for both methods were
                plotted against each other; a slope of 0.702 was ob-
                tained. On the average, the acid persulfate method
 Table 4. Comparison of CBL/OEP field detection limits, based on actual field duplicates (see Table 1). Field
 detection limits are based on 3 standard deviations of field duplicates, accordingly, actual analytical detec-
 tion limits at CBL are lower for all analytes. Note that the Chesapeake Bay Monitoring Program analytical
 detection limits, which are shown for reference, are more stringent than those required by EPA.
 Parameter
CBL/OEP Field Duplicate
(mg/L)         (uM)
              Monitoring Program
              (mg/L)        (uM)
 Dissolved Nitrogen
  Kjeldahl8
  Alkaline Persulfateb
 Dissolved Phosphorus
  Acid Persulfate8
  Alkaline Persulfateb
 Particulate Nitrogen
  By Difference1*
  Directb
 Particulate Phosphorus
  By Difference8
  Directb
0.204
0.18

0.011
0.015

0.375
0.033


0.018
0.006
14.6
12.9

 0.355
 0.484


26.8
 2.36


 0.581
 0.194
0.20
0.01
0.40
0.02
14.2
 0.32
28.4
  0.64
 "Required by EPA.
 bRecommended by CBL and OEP.

-------
of determining particulate P "by difference" yield-
ed marginally higher results than those values ob-
tained by the direct analysis. However, with direct
measurement, the greater volume filtered yields a
more representative  sample and negative values
cannot occur as they do in the "by difference" tech-
nique. As would be predicted from a priori statisti-
cal considerations, negative particulate values
were apparent in virtually every data set where de-
termined "by difference."  Most importantly, direct
measurement results  in at least an order-of-
magnitude improvement in limits of detection for N
and more than twofold improvement for P.
   5.  Field replicate data indicate that the precision
of the  alkaline  persulfate  dissolved  P method
(r2=0.929)  is virtually identical to that of the acid
persulfate dissolved P method (r2=0.958) and that
when data for both methods were compared with
each other, a slope of 0.954 was obtained; indicating
that these methods are of comparable accuracy.  The
acid persulfate  dissolved P technique produced
slightly higher values than the  dissolved alkaline
persulfate dissolved P method. In  practice, the dif-
ferences probably relate to a dilution factor used to
increase the range of determination. The internal
dilution factor of the alkaline persulfate procedure
can easily be adjusted for  future  work.  If the alka-
line persulfate procedure  for N  is adopted, a con-
comitant alkaline persulfate method for P should
prove satisfactory.
   6. Comparison of whole water total phosphorus
methods indicated that  the precision of field repli-
cates of acid persulfate unfiltered (r^=0.964) was al-
most identical to whole water P determined by direct
particulate P plus acid  persulfate  dissolved P
(r^=.972) and particulate P plus alkaline persulfate
dissolved P (r2=0.949). Slopes of 0.988 and 1.15 were
determined when direct particulate plus alkaline
persulfate dissolved P were compared to total acid
persulfate phosphorus, respectively.

            RECOMMENDATIONS

  1.  Better precision methods should be adopted as
soon as possible.
  2.  The direct measurement of particulate N and P
is more precise than  determination  "by  differ-
ence."  We strongly recommend that measurement
of particulate N and P be performed by direct meas-
urement.  This also applies to particulate C, which
we did not address in this study; improvements in
precision should approach those  obtained for  direct
analysis of particulate N. A proof of this obvious
conclusion  should not require additional  study.
  3. Dissolved Kjeldahl N and alkaline  persulfate
dissolved N values correlated better than in a previ-
ous study (D'Elia et al. 1986), giving mean concen-
trations of 0.433 and 0.434 mg N/L on over 60 field
duplicates. However, scattergrams of the two parme-
ters plotted against each other show the high variance
of dissolved N, and for given paired comparisons,
one cannot expect close correspondence from these
high-variance procedures.  Accordingly,  we recom-
mend that the accuracy of the Kjeldahl determina-
tion  on salt-matrix  samples receive further  scru-
tiny. In any case, despite our use of certain improve-
ments in technique, we do not feel satisfied with the
presently used Kjeldahl technique  and recommend
that more suitable modifications be sought for sam-
ples  with a saline matrix.  It cannot be relied on as
an adequate standard with which to compare other
methods.
  4. The  persulfate N technique  should receive fur-
ther  scrutiny  against  an  independent (non-
Kjeldahl) dissolved nitrogen determination in order
to provide an adequate test of its accuracy.  It may
prove to  be more accurate than the Kjedahl N tech-
nique.
  5.  Despite the uncertainties involved, we recom-
mend adoption of  the alkaline persulfate digestion
and simultaneous determination of dissolved N and
P on the  digest, which will  result in substantial cost
savings for the monitoring program  without  compro-
mising data quality.

                 REFERENCES

Analytical Methods Committee. 1987. Recommenda-
   tions for the definition, estimation and use of the
   detection limit. Analyst 112:199-204.
Aspila, K.I., H. Agemian, and A.S.Y. Chau. 1976. A
   semi-automated method for the determination of
   inorganic, organic, and  total  phosphate  in sedi-
   ments. Analyst 101:187-197.
D'Elia, C.F.,  K.L. Webb, D.V.  Shaw,  and  C.W.
   Keefe. 1986. Methodological comparisons for Ni-
   trogen and Chlorophyll determinations  in estu-
   arine  water samples. Report  submitted to Md.
   Dept.  Natural Resources and U.S.E.P.A.
Ebina, J., T. Tsutyoshi, and T. Shirai. 1983. Simul-
   taneous determination of total nitrogen and total
   phophorus  in water using peroxydisulfate oxida-
   tion. Water Res. 17:1721-1726.
Gardner, W.S., G.A.  Berberian,  P.L. Brezonik, A.
   Frake, B. Nowicki, J.E. O'Reilly, J.G. Sanders,
   and T.E. Whitledge.  1984.   Methodology and
   quality assurance for nutrient measurements by
   NOAA: current status and recommendations for
   the future.  A report from a technical  working
   group meeting in Miami, Florida, December  8-9,
   1983.   U.S. National Oceanographic and Atmos-
   pheric Administration.
Glibert,  P.M., C.F.  D'Elia,  and  Z.  Mlodzinska.

-------
   1976.  A semiautomated persulfate oxidation tech-
   nique  for simultaneous total nitrogne and total
   phosphorus determination in natural water sam-
   ples.  Woods Hole Oceanog. Inst. Contrib. No.
   3954.
Grasshoff, K. M. Ehrhardt, and K Kremling. 1983.
   Methods of Seawater Analysis, 2nd ed.  Verlag-
   Chimie. Weinheim.
Head, P.C. 1985. Salinity, dissolved oxygen and nu-
   trients, p. 94-114. In: P.C. Head [ed.], Practical
   Estuarine  Chemistry.  Cambridge  University
   Press.  Cambridge.
Heinle, D.R.,  C.F. D'Elia, J.L. Taft, J.S.  Wilson,
   M. Cole-Jones, A.B. Caplins, and L.E. Cronin.
   Historical review  of water quality and  climatic
   data from Chesapeake Bay with emphasis on ef-
   fects of enrichment.  U.S.E.P.A.  Chesapeake
   Bay Program Final Report, Grant #R80618910.
   Chesapeake Research Consortium, Inc.  Publica-
   tion No.  84, Annapolis, MD.  Report No. TR-
   002E; NTIS Pub. No. PB82-265471.
Kamykowski, D. and S-J. Zentara.  1985  Nitrate
   and silicic acid in the world ocean: patterns and
   processes.  Mar. Ecol. Prog. Ser. 26:47-59.
Kamykowski, D. and S-J. Zentara.  1986.  Predict-
   ing plant nutrient concentrations from tempera-
   ture and sigma-t  in the  upper kilometer of the
   world ocean. Deep-Sea Res. 33:89-105.
Magnien, R. and C. D'Elia.  1986. Chemical analy-
   sis strategies  for water  quality monitoring.
   Proc.  Spec.  Symp.  on  U.S. Natl.  Monitoring
   Strategies,  Oceans '86 Conference, Washington,
   D.C., Sept., 1986.
Menzel, D.W. and N. Corwin. 1965. The measure-
   ment of total phosphorous in seawater based  on
   the liberation of organically bound  fractions  by
   persulfate oxidation. Limnol. Oceanogr. 10: 280-
   282.
Neter, J.  and W. Wasserman 1974. Applied Linear
   Statistical Models. Richard Irwin,  Inc., Home-
   wood, II. 842 p.
Sharp,  J.H.   1974.   Improved  analysis  for
   "particulate" organic carbon and nitrogen from-
   seawater.  Limnol. Oceanog. 19:984-989.
Solorzano, L. and J. H. Sharp. 1980.  Determination
   of total dissolved phosphorus and  particulate
   phosphorus in natural  waters.   Limnol. Ocea-
   nogr. 25:754-758.
United States  Environmental Protection  Agency.
   1979. Methods for chemical analysis of water and
   wastes. Off. Res. Devel. Cincinnati,  Ohio. EPA-
   600/4-79-020.
Williams, P.J.LeB.  1985.  Analysis: organic mat-
   ter, p.  160-200.  In: P.C. Head [ed.], Practical Es-
   tuarine  Chemistry.  Cambridge  University
   Press.   Cambridge.
            ACKNOWLEDGMENTS

 The authors thank S. Sokowlowsky for helping
with the Kjeldahl technique and A. Ward for help-
ing with the figures. Thanks are also due to the Of-
fice of Environmental Programs field crew who col-
lected the many  extra samples required  for this
study.

-------
                            APPENDIX A






FIELD REPLICATE GRAPHS WITH COEFFICIENTS  OF DETERMINATION (r2) FOR






                 DISSOLVED AND PARTICULATE N AND P

-------
                                                          in
                                                          o
                                                           II
                                                         C\J
                                                                   -  OJ
                                                             CD
                                                                      in
                                                                      r-
                                                                      CS
                                                                            LLl
                                                                            o:
                                                                             II

                                                                            z:
                                                                            o-
                                                                   -   G9
in
in
ru
tn
r-
LH
  •

C3
          i
         in
(S)
CS>
  •

CO
tn
OJ
                                                                       nj
                                                                         •
                                                                       CD
                                                                        I
                                                                           o
                                                                           4^
                                                                            O
                                                                           •P-H
                                                                            
-------
                                                          CM
                                                          CD
                                                            »
                                                          O
                                                           11
                                                         CM
                                                                  v-  i-n
                    f   CD
  I-  P-
LH
         tn
                                                                 T
                                                                      in
                                                                      ru
  .   CD
  -  in
  •     »
  -   CD
                                                                             1!
  L   LH

  F~
  f   CD
                                                                   r   ru
tn
ru
                                                                       CO
                                                                        I
                                                       CO
(XI
  •
C3
 I
                    G
                    >
                                                                                     O r-H
                                                                                    •H 3
                                                                                     S-( O
                                                                                       O
                                                                                    •o c
                                                                                    CJ

-------
                                               L-  OJ-
                                                              CO
                                                              00

                                                              6
                                                               u
                                                             c\j
T '

CD
            OJ
CD
CD
TJT1

 tn
 p-
   •
 CD
TTT1

 CD
 Ln
   •
 CD
                                                                          CD
                                                   CD
                                                     •
                                                          CJ
                                                          LU
                                                   tn    5
                                                   r-|    o

                                               I  CD     „
                                                                       t-  Ln
                                                                           Ln
                                                                           OJ

                                                                       t   ca
rxj
  •
CD
T

 CD
 CD
  •
 CD
                                                                                           to
                                                                                         
                                                                                           O
                                                                                           n
                                                                                         
-------
                                                     V- Ln
                                             LO
                                             o
                                             cr>
                                                •
                                             O
                                              it
                                            CM
                                 .  CD
                                                              m
                                                              ru
                                                              o
                                                               u

                                                              z
                                                              o
                                                      -  Ln
                                                         in
                                                         ru
tn
ru
in
r-
in
Ln
ru
• i


CD


  *

CD
                                                         CD
                                      z


                                      T3 +


                                      > Z
                                      i—I

                                      O rH
                                      n X
                                      to &

                                      •H TJ


                                        


                                      O O
                                        n

                                      c w
                                      O "H

                                      •H *O


                                      0} it
          CELUO	!«-«LJ
-------
                                                             OJ
                                                             cr>
                                                             CO
                                                               »
                                                             o
                                                              II
                                                            c\j
I

GO
 I

ID
ru
I

CD
                                                                         CO
                                                                         ID
                                                                               ru
                                                                               o
                                                                         CD
                                                                                u
                                                                         ID
                                                                         IT
                                                                           *
                                                                         G3
                                                                         ru
                                                                         CD
GO
ID
  •

CD


 UJ
                                                    CD
OJ
  •
CD
                                                           cs
                                                                                          2
                                                                                          i
                                                                                          
                                                                                          03
                                                                                        3 T*

                                                                                       •-5 C
                                                                                a
                                                                               +> 
-------
                                                             LO
                                                             o
                                                              11
                                                            CvJ
                                                                         GO
                                                                         LD
                                                                         (U
                                                                         00
                                                                       h-
                                                                        •f

                                                                       o-
                                                                        it
                                                                         ID
                                                                         3"
                                                                           •
                                                                         C3
                                                                         fU
                                                                           •

                                                                         C3
                                                                         C3
GO
  •
ID
  •
 i

3-
i

OJ
r

00
  •
CD
i

ID
                                                     C3
ru
  •
C3
                                                                                          c
                                                                                          •H
                                                                                        I  iH
                                                                                        
-------
                                                          CD
                                                            •
                                                          o
                                                         C\J
                                                                     co
                                                                     ID
                                                ru
                                                                           m
                                                                           ru
                                                                           o
                                                                      CD
                                                                           H-

                                                                      00    +

                                                                      CD   -Z
                                                                           o.

                                                                            II


                                                                      U5   £

                                                                      CD
 I

oo
fXJ
CO
  •

CD
ID
  •

CD
3"
  •

CD
i

ru
                                                                      OJ
                                                                        •

                                                                      CD
                                                CD
                                                  •

                                                CD
CD
  •
CD
                                                                                     -P
                                                                                     o
                                               ^> -p
                                               >_ (0
                                                  rH
                                               2 3  •
                                                  O fH
                                               rH -H X
                                               83 -P 2
                                               •p ^
                                               0 «S «
                                               •P ft £
                                                                                   r—l

                                                                                    0

-------
                                                  o
                                                  CD
                                                  CD
                                                     •
                                                  O
                                                   II
                                                  Cvi
                                                             ID
                                                             o
                                                               •
                                                             C3
                        IT
                     -  CSD
                                                                   LU
                                                                   II

                                                                   O-
                                                                   O-
                                                             OJ
ID
ts
fXJ
CD
                                                           -  CD

                                                              CO
                                                                          o
                                                                          -p
                                                                          03
                                                                          rH
                                                                          3
                                                                          O
                                                        G9
                                    »— UJ

-------
              LO
              ro
              oo
                 «
              o
               II
              Ou
                          LO
                       -  CB
                            •

                       .   C3
                                                                          •a
                                                                          u
                                                                          to
                                                                          o-
                                 i
                                o-
                                h-
                                 ii
                                a.
                          ru
I  •

ID
i  '

3"

  •

CD
ru
                                                                                  a
                                                                                 •H II •
                                                                                  3
                                                                                  O in
                                                                                 •H 3
                                                                                 •p ^ •
                                                                                  V< O
                                                                                  03 X
                                                                                  A (X
                                                                                    to
                                                             O fi
                                                            -^ -p ,
                                                            -P 03
                                                             03 r-4
                                                             C 3
                                                            ^ O
                                                             £ -H '
                                                             J-l 4J i
                                                             
-------
                                                CO
                                                LO
                                                CD
                                                  •
                                                o
                                                 II
                                               CM
                                      o o
                                                          (3
                                                          en
                                                          GO
                                          r-
                                          CD
                                          ID
                                                          tn   o
                                                          CD   LJ

                                                          CD   »—«
                                                          IT    "
                                                          CD   a.
                                                          m
i

CO
           GO
           ca
CD
r-
G9
  •
CD
I

ID
                     CD
           CD    CD   CD    C3   fo

           O    CD   CD    C3   CD

-------
                                                         CD
                                                         CM
                                                         CD
                                                            %
                                                         o
                                                          M
                                                        cvi
r

CS
cn
eg
CD

(S
  •

CS
in
\J\
CS
 I

3-
cs
  •
CS
J

m
I


fXJ
                                                                    CS



                                                                    CS




                                                                    CD
                                                                    CO
                                                                    CS
                                                                      •

                                                                    CS
                                                    "  ^





                                                       ID



                                                       CS
                                                                    Lfl

                                                                    CS
                                                                      •

                                                                    CS
                                                                    IT
                                                                    CS
                                                                      •

                                                                    CS
                                                                    n
                                                                    cs
                                                                      •

                                                                    CS
                                                                    OJ

                                                                    CS
                                                                      •

                                                                    CS
                                                                    CS
                                                                      •

                                                                    CS
                                                              CS

                                                              CS
                                                                •

                                                              CS
                                                                    o
                                                                    LJJ
                                                                    II


                                                                    0-
                                                                                   fc
                                                                           ^-1 4J
                                                                           o c
                                                                           in ID
                                                                           in o
                                                                           •H C
                                                                           TJ O
                                                                              o
                                                                           c
                                                                           O
                                                                           '
                                                                                    O5
                                                                     

H C O 3 03 -P -a « o -a x •P


-------
                                                      CO
                                                      CD
                                                        %
                                                      o
                                                       II
                                                     cvj
                                                                (XJ
                                                                tH
                                                                  •

                                                                cs
                                                                cs?
                                             00
                                             O
                                              •
                                             CD
                                                                ID
                                                                ca

                                                             t  CD
                                                                      O
                                                                      
-------
                                                            CO
                                                            cr>

                                                            O
                                                             it
                                                           CM
                                                  CD
                                                  CD

                                               '.   CD
                                  OO
                                                                        ID
                                                                        CD
                                                                          »
                                                                    .   G)
                                                                               U
                                                                               to
                                                                              O-
                                                                              o
                                                                              O-
                                                                              O-

                                                                               U

                                                                              0-
                                                                        :r
                                                                        cs>
                                                                        CD
                                                                          •
                                                                        6)
ru
t-l
  •
C3
CD
tH
  •
CD
 CD
 CD
10
CD
:r
CD
 CD         CD         CD

D^UJO	I *-•<->«: I—til
ru
CD
  •
CD
CD
  •
CO
                                                                                          
-------
                                                           01
                                                 cr>
                                                    •
                                                 o
                                                  in
                                                 CM
                                                        L  cs
                                 GO
                                 C9
                                                                 ra
                                                                 a_
                                                            a
                                                             •
                                                            cs
                                                                 Ou

                                                                 u
                                                        F   •
                                                        L   cs
                                                            OJ
                                                            C9
OJ
*H
  •
CS
 CD
 CS
  •
 CS

pzLUO-
1111

10
                                                            cs
                                                            G3
                            cs
          CS

          LU
a
                                                                          
-------
                      APPENDIX B






NITROGEN AND PHOSPHORUS COMPARISONS WITH REGRESSION ANALYSES

-------
                                              CD
I


CSD
ru      cs>
CD
                                in
                                  *

                                CD
                Ln
                ru
                                           -  ru
                                              G)

                                              CS
                                              tn
                                              r-
                                                •

                                           •   CSD
                                           _  t_n
                                              LD

                                              fU
                                           .
                                           -  CS)
                                                •

                                              CSD
                                              ru
                                                •

                                          E   cs
                                               t
                                              cs
                                              LTI
                                              CSD
                                                j
in
  •

CS3
                               C3
               UJ CJ

-------
                                         m
                                      V-  IT
                               o
                               in
                                 *
                               o

                                II
                                CL
                                a

                               CO
                         ru
                          •
                                              CD
                                              O
                                       .  m
                                         m
                                         oo
                                       .  m
                                       - r-
   ru
cs
en
m
CO
                                         CSI
r-
  •

cs>
_JOCD   0-2:
      LU <_)

-------
                                                                CO
                                                    CD
                                                    si-
                                                    00
                                                       »
                                                    o

                                                     II
                                                     CD
                                                     Q.
                                                    _0

                                                    CO
                                       :  csj
                                          C5»
                                          in
                                          in
                                          ru
                                                                      m
                                                                      ru
                                                                      o
                                  +

                                  IL.


                                  »—

                                  II
                                                                in
                                                                r-
                                                                  •
                                                                Gi
                                                             - Lfl
                                                                in
                                                                OJ
                                                                  *
                                                             •  CS5
                                                                 CS)
                                                                 CS3
                                                                             -o
                                                                             c  •
                                                                             > co
                                                                             r-\ CO
                                                                             O O3
                                                                             03 TH
                                        tfl X)
                                        >  s
                                           o
                                        ~ -p
                                        tfl  a
                                        -H  O
                                        xco
                                        (0  I
                                                      «- 3
                                          •a
                                        T3  O
                                        05 -H
                                        >  ^
                                        p-(  O
                                        o  P.
                                                                             •HX
                                                                             TJ -P

                                                                             (D ^
                                                                             •P O
                                                                             0} 
-------
                                                 CVI
                                                 O
                                                 O

                                                  in
                                                  CD
                                                  Q.
                                                 JD

                                                 CO
ru
I      I


00   ID
rH   rH
  •     t

G)   G)
      00    10
      G)    G)
                                                            cs
                                                            CO
                                                            ID
                                                            GO
                                                                 T3

                                                                 U
                                                                 ra
                                                                 D-
                                                            i

                                                           D-
                                                           J—

                                                            II

                                                           D-
                                                           D-
                                                            ID
                                                            CD
                                                              •
                                                            C5>




                                                         kS
                                                            fXJ
                                                         U  0
                                                  I      I

                                                  ru   cs
                  O-O.
 G)   G)    G)   G)    CO   CS3


l HH Oi UJ O f—

-------
             \
                                                  ro
in
n
I


rxj
  •
t-H
                                                  O

                                                   1!

                                                   CD
                                                   CL
                                                  CO
in
I

in
            _JO CD   0-0-
 Ln
 en
   •
 CS

OK-
in
CD
                       LJJ o i
Ln
r-
  •
cs
                                                           -  OJ
                                                              tn
                                                              n
                                              in
                                              i—i
                                                •
                                              r-J
                                           .   Ln
                                                              en
                                                                •
                                                              cs>
                                                                    •a
                                                                    .O
                                                                    D_
                                                     i

                                                    0-
                                                    I—

                                                     11

                                                    O-
                                                    DL.

                                                    CD
                                                    CD
                                                              Ln
                                                           -  co
                                                           -  r-
 i


LD

CS)
                                                              Ln
                                                              ID
                                                                •
                                                              CS)
                                                          o -o
                                                          •P O
                                  3 ®
                                  O ft
                                  •H
                                  -P O
                                  ^ X
                                  03 -P
                                  ft
                                    h
                                  w o
                                  O «H
                                                                          n Ou
                                                                          n
                                                                          (0  3
                                                                           c
                                                                           O O
                                                                           n o

-------
 I  •

in
*H
  •
G3
                                                         LO
                                                         o
                                                          It
                                                          CD
                                                          Q_
                                                         CO
         h-QO.
I  •

CD


CD

II
in
CD
  •
CD
                                                                     tn
                                                                     *H
                                                                       •
                                                                  .  CD
                                                                     CD
                                                                           O
                                                                           UJ
                                                                           C3

                                                                            II

                                                                           O-
                                                                           ca
                                                                      in
                                                                      CD
cs
CO
  •
C9
                           CD
                        -  CD

                           CD
                                       m  .
                                       > to
                                         co
                                       ^o»
                                       CO T-l
                                       •H
                                       X  -
                                       0 M
                                          0)
                                                                                  «
                                                                                  0-1
                                                                                  >  t
                                                                                  r- 1  flj
                                                                                  O  C
                                                                                  W  3
                                                                                  0) >o
                                          o
                                          tO
                                                                                   o >  e
                                                                                     tH
                                                                                   c o  c
                                                                                   o en -H
                                                                                   o] n
                                                                                  •H ^i  c
                                                                                   V< T3  O
                                                                                   «J   -H
                                                                                   Cu ® -P
                                                                                   £ -P  «
                                                                                   O OJ  fc
                                                                                  O «H -P
                                                                                     r-H  C
                                                                                     3  <»
                                                                                    • «  O
                                                                                  CD I*  C
                                                                                    . ©  O
                                                                                  CQ

-------
                             APPENDIX C






              ANALYTICAL PROCEDURES USED IN THIS STUDY



Taken from CBL's Nutrient Analytical Services Laboratory Methods Booh



                          1.  ORTHOPHOSPHATE




                         2.  NITRITE+NITRATE



                     3.  TOTAL DISSOLVED N AND P



                    4. TOTAL P (ACID PERSULFATE)



                            5.  KJELDAHL N



                      6. PARTICULATE N (DIRECT)



                      7. PARTICULATE P (DIRECT)

-------
Nutrient Analytical  Services  Laboratory

STANDARD OPERATING PROCEDURES
         Christopher  F. D'Elia
          Nancy L. Kaumeyer
           Carolyn L. Keefe
            Diane L Shaw
           Kathryn V. Wood
         Carl F. Zimmermann
Chesapeake Biological Laboratory (CBL)
        University of Maryland
               Box 38
      Solomons, Maryland  20688
             April  1987

-------
Nitrate ± Nitrite;

     Filtered samples are passed through a  granulated copper cadmium
     column to reduce nitrate to nitrite.   The nitrite (originally
     present plus reduced nitrate)  is  then  determined by diazotizing
     sulfanilamide and coupling  with N-1-napthylethylenediamine
     dihydrochloride to form a colored azo  dye.   Nitrate is obtained
     subtracting NC>2+ NC^ from N02 values.

     Methodology:  Technicon Industrial Method:   158-71 W/A
                   EPA.   1979.   Chemical Analysis of Water and  Waste
                   USEPA-600/4-79-020.   Method  §353.2.

     Manifold Assembly ;   See figure ?.

     fLtarLdard Calibration Settings:

                             Yellow/Orange  Sample Tubes: 2.0, 1.0,  0
                             Black/Black Sample Tubes: 9.0, 6.0,  2.0

     Hamp;  Normal

     Sampling £a£e,:  40 hours  9:1 sample/wash ratio

              550 nm
     PJieiP_fciib_e.:  199-B021-01    Flowcell;   50 mm

     lnt_ej:-fej: .ericas :   Metal ions may produce a positive error if pres
                     in sufficient concentrations.  The presence  of
                     large concentrations of sulfide and/or sulfate
                     will cause a large loss of sensitivity to the
                     copper-cadmium column.

     Reagents;

          1.  Ammonium £hlo_rlde. Reagent ;

               Ammonium Chloride (NH4C1)         10.0 g
               Alkaline Water                   1000 ml

               Dissolve 10.0 g (KH^Cl)  in  alkaline water and dilute
               one liter.   Alkaline water  is prepared by adding " 2
               concentrated Ammonium hydroxide  to one liter of deion
               water.  Should attain a pH  balance of 8.5.

          2.  £o_lcj: Reagent;

               Sulfanilamide  (CgHoN202S)                     20.0 g
               Concentrated Phosphoric Acid  (F^PC^)       200.0 ml
               N-1-naphthylethylenediamine dihydrochloride
               (C12H14N2 *  2HC1)                             1«° 9
               Deionized Water                              2000 ml
               Brij-35                                      1.0 ml

-------
               To approximately 1500 ml of deionized water, carefull
               200 ml of  concentration l^PC^ and 20 g of sulfanilami
               Dissolve completely  (heat necessary).  Add 1.0 g of N
               naphthylethylenediamine dihydrochloride and  dissolve.
               Dilute to  2 liters with deionized water and add 1.0 m
               Brij-35.   Store in a cold, dark place.

Preparation oj[ cr>ppe_r-j:adiiiium column;

          1.  Use good quality cadmium filings (25-60 mesh  size).

          2.  Ten grams of cadmium are cleaned with 50 ml of 6 N HC1
              one minute.  Decant the HC1 and wash the cadmium with
              another 50  ml  portion of 6 N HC1 for one minute.

          3.  Decant  the  HC1 and wash the cadmium several times with
              distilled water.

          4.  Decant  the  distilled water and add 50 ml of 2%  (W/V) C
              * 5HoO.  Wash the cadmium until no blue color remains
              solution.

          5.  Add another 50 ml of 2 CuS04  * 5H2O and wash the cadmi
              until no blue  color remains in  solution.

          6.  Decant  and  wash throughly (approximately 10 times) wit
              deionized water..

          7.  Fill the reductor column with ammonium  chloride reagen
              transfer the prepared cadmium particles to the  column
              a Pasteur pipette.  lie. careful not to &llo_w_ any sJji
              t>ui>bJLe_£. io,  b_£  trapped In i_h£ cjiliinn*.  The column is a
              cm  length  of 0.110"  ID  tubing.

          8.  When the entire column is fairly well packed  with grar
              insert  glass wool plugs at both ends of the column, wi
              reagents  running through the system attach the  column.
              £e_JQe.m.b_e_L to have no air bubbles in the  valve  and to at
              the column  to  the  intake side  of the  valve  first.

          9.  Check for good flow  characteristics  (good  bubble patt<
               If the column is packed too tightly,  you will get an
              inconsistent flow pattern  will result.


     Prior to sample  analysis, condition the column with approximate
100 mg N  (nitrate)/!  for  5 minutes  followed  by 100  mg N (nitrite)/!
10 minutes.

-------
Standards
     A.   £iL££k Standard;   Dissolve  0.5055 g KNC^  into  one  liter
         deionized  water  (1 ml  =  5  ug-at N).

     B.   ttarklng Standard &:  0.8 mis of stock standard up  to  II
         with deionized water yields 40 ug  at N/l (0.56 mgN/1).

     C.   Harking Standard;  0.8 mis  of  stock standard  up to 200
         with deionized water yields 20 ug  at N/l (0.28 mgN/1).

         1.0  mis  and 1.5 mis of stock standard up to 100 ml wit
         deionized  water  yields 50  and  75 ug  at  N/l,  respective
         (.70  and 1.05  mg N/l) for use with the orange-yellow  s;
         tube and yellow-blue NI^Cl  tube employed with sample
         concentrations  < 0.56  mg N/l  (N03~ + N02~).

         2.5,  5.0, 10.0, 15.0, 25.0 mis  of working standard A  u
         100 ml with deionized water yields 1.0, 2.0, 4.0, 6.0 i
         10.0 ug at N/l  or .014,  .028,  .056, .084, and .14  mg  N
         respectively.

-------
Cadmium
Redactor
  Tube
                    MANIFOLD COE'IGURATION FOR NITRATE
                To Sampler Wash Receptacle-
A2
5 Turns
                          22 Turns
               Debubbler
                Waste  —
                Waste
COLORIMETER
  550 ran
 50 mm F/C x 1.5 mm ID

 199-B021-01 Phototube
                             GRN/GRN (Water)
                                             BLK/BLK (Air)
                                     (Ammonium Chloride)
                                             BLK/BLK (Sample)
                                             BLK/BLK (Air)
                                             BLK/BLK (Color Reagent)
                             WHT/WHT-
                                      (From. F/C)
          Note:  If sample concentration >.56 mgN/1
                 substitute:YEL/BLU  for  Ammonium Chloride
                           ORN/YEL  for  Sample

-------
Orthophosphate :

     Ammonium molybdate and antimony potassium tartrate react in an acid
     medium to form an antimony — phosphomolybdate complex which is
     reduced to an intensely blue colored complex by ascorbic acid.

     Methodology;  Technicon Industrial Method No.  155-71W
                   EPA.  1979.   USEPA-600/4-79-020.  Method §365.1

              Assembly:  See figure ?.
     Standard Calibration Settings;   9.0,  6.0,  3.0

     fiamp;  Normal

     .Sampling. Eat£;  40/hr.  9:1 sample/wash ratio

     £iltej::  880 nm

     Phototube;  19S-B021-04    Flowcell;   50 mm

     Jnterferencesi  Silicon at a level of 100 ug at Si/1 causes an
                     interference equivalent to approximately 0.04 ug
                     at P/l.

     Reagents;'

          1.  Sulfuric Acid (4.9N);

              Sulfuric Acid  (H^SC^),  concentrated
                   (sp.  gr.  1.84)                136 ml
              Deionized Water (QS to )         1000 ml

              Add 136 ml cone. H2S04 to approximately 800 ml good
              quality deionized water while cooling (cold water
              bath).   After the solution is cooled, dilute to one
              liter with deionized water.

          2.
              Ammonium Molybdate [(NH^g Mc-yC^ * 4 H2]   40 g
              Deionized Water                  *         1000 ml

              Dissolve 40 g of ammonium molybdate in 800 rnl of
              deionized water.  Dilute to one liter  with deionized
              water.  Store in plastic bottle away from direct
              sunlight.

          3.  Ascorbic; Acid.:

              Ascorbic Acid (CgH8Og)              18.0 g
              Deionized Water                     1000 ml

-------
         Dissolve 18 g.  of ascorbic  acid  in 800 ml. deionized water.
         Dilute to one liter with deionized water and dispense
         (approx.) 40 ml.  into  clean polybottles  and  freeze.

     4.  Antimony Potassium Tartrate.:

         Antimony Potassium Tartrate  [(K(SbO)C4H4Og * 1/2  H23 3.0  g
         Deionized Water                                      1000 ml

         Dissolve 3.0 g  antimony potassium tartrate in 800 ml
         deionized water.   Dilute to one  liter with deionized
         water .

     5.  .Sodium Lauiyl Sulfate.  JSLS1:

         Sodium Lauryl Sulfate  (Sodium Dodecyl Sulfate  M.W. =
         288.38; Phosphate _£ 0.0001%) 3.0 g
         Deionized water              100 ml

         Dissolve 3.0 g  SLS in  80 ml deionized Water.
         Dilute to 100 ml  with  deionized  water.

     6.  J&rkins. Reagents:

         a.  Reagent A:  Sulfuric Acid (4.9N)        50 ml
                        Ammonium Molybdate          15 ml
                        Antimony  Potassium Tartrate 5 ml +  1 ml  SLS

         b.  Reagent B:  Ascorbic Acid   30 ml +  0.3 ml SLS

Standards
     A. .Stasis. StanojLld.:  Dissolve 1.632 g KtUPCU into one
         liter deionized water and add  1.0  ml chloroform  as
         a preservative (1 ml = 12 ug at P).

     B. Secondary standard;  Take 1.0 ml of  stock standard
         and dilute to 100 ml with deionized  water  (0.12)ug
         at P/ml).
     C.  EfilKina ^iand^rds.:   0.1, 0.25,  0.5, 2.5 and 5 mis  of
         B up to 100 ml with deionized water yield
         concentrations of 0.12  ug  at/1 (0.00372 rog/1),
         0.3 ug at/1 (0.0093 mg/1),  0.6  ug at/1  (0.0186 mg/1),
         1.2 ug at/1 (0.0372 mg/1),  3.0  ug at/1  (0.093 mg/1)
         and 6.0 ug at/1 (0.186 mg/1).

-------
                            Organic Analytes

Bationale:

     Dissolved organic Carbon, Nitrogen and Phosphorus are described
below.  All procedures except Kjeldahl require the addition of potassium
persulfate to a sample, which when under heat and pressure break down the
organic constituents to inorganic forms.  Inorganic fractions are then
subtracted from the total dissolved sample to yield the dissolved organic
concentration.  (Figure _ and _ ) .

Sampling .and S±cjr.ase_:

     Surface, bottom, above and below pycnocline water samples are
collected via a submersible pump system.  Collected water samples are
filtered through GF/F filters (nominal pore size  0.7 um) and placed in
appropriate containers and preserved (Table _ ) .

Analyte                                  Volume              .Storage

Dissolved Organic Carbon                 "20                 Freeze
Dissolved Nitrogen/Phosphorus             10                 Freeze
Dissolved Phosphorus (Acid Persulfate)    20                 Freeze
Dissolved Kjeldahl                       "50                 JSO
Total Dissolved Nitrogen and. Phosphorus:

     The method utilized  is that of D'Elia,  et al.  1977.   This method is
     a persulfate oxidation technique for nitrogen and phosphorus where,
     under alkaline conditions, nitrate is the sole N product and
     phosphate is the sole P product.
              Assembly.:  Same as nitrate and phosphate.

            Normal

              Eatej.  40/hr  9:1 sample/wash ratio

               550 run for nitrate; 880 nm  for orthophosphate

               :  199-B021-01 for nitrate; 199-B021-04 for orthophosphate
     Flowcells;  50 mm

     Int£r.£ejL£n£es_:  Metal ions may produce a positive nitrate error  if
                     present in sufficient concentrations.  The presence
                     of large concentrations of sulfate will cause a
                     large loss of sensitivity to the copper-cadmium
                     column.  Silicon at a level of 100 ug at Si/1 causes
                     an interference equivalent to approximately  0.04  ug
                     al P/l.

-------
                           Outline.
     1.    Ten mis of filtered water (GF/F,  0.7 urn) is placed  in a 30
          ml screw cap test tube and frozen.

     2.    When ready to analyze,  thaw  samples and bring to room
          temperature.

     3.    Add 15.0  ml oxiding reagent  (Mg(OH)2).   A precipitate  will
          form with seawater samples.   Test tubes are capped  fairly
          tightly.

     4.    Samples are then autoclaved  at 100-110OC  (between 3-4 psi)
          for 30 minutes and slowly brought back to atmospheric
          pressure.

     5.   Tubes are  removed and cooled  to room temperature (samples
         can be stored at this point) .

     6.   Add 1.5 ml 0.3N HC1 to each cample.

     7.   Mix with Vortex mixer until precipitate dissolves.

     8.   Add 2.0 ml buffer solution to each tube.  The pH of  the
         sample should be 7-8 after the addition of the buffer
         •solution.

     9.   Analyze for NC>2~ + ^3" and P0^~ (see dissolved  inorganic
         section) .

Reagentg

     1.   Butfejc. solution!
         30.9  g HoBC>3 (Boric  Acid) dissolved in approximately  800  ml
         deionized water.  Add 101 ml of a 1M NaOH solution (40 g
         NaOH/1) to the H3B03 solution and bring  up to one liter
         with deionized water.  The  solution is stable for many
         weeks .

     2.  0.3N UCli

         2.5 ml concentrated  HC1 brought up to 100  ml with deionized
         water .

     3.  Oxidizing. Eeassnt:

         3.0 g NaOH and 6.7 g of low N ( <0.001%)  potassium
         persulfate (K2S2Og)  are dissolved  in  one liter of deionized
         water  just before use.

-------
           1.   The use of internal organic standards  (glutamic acid and
               glycerophosphate)  allows to check  for  percent recovery and
               is routinely used at CBL.

           2.   The procedure includes an internal dilution factor of
               samples and standards due to addition  of reatgents of 2.85.

           3.   Reagent Blanks:  Reagents only are digested in 30 ml test
               tubes,  neutralized and buffered.   The  analyzed peak heights
               of lO-j  and PC>4   are normalized to the sample + reagent
               volume by multiplying by 18.5/28.5.  The re£;ultant
               normalized reagent blank peak height is then subtracted
               from the sample peak heights before calculating the
               concentrations based on the peak heights of the  standards.

      Preparation of Internal standards:
           A.  Stock Glutamic Acid Standard.:  Dissolve .3705 g glutamic
               acid in approximately 400 ml deionized water and then bring
               up to 500 ml with deionized water.  Add 03 ml chloroform
               to act as a preservative.

           B.  Eorking. Glutamic. Mid. Standard;  1 ml of A up to 100 mis
               with deionized water will yield  50.4 ug at 1-1/1  (0.7056 mg
               N/l).

           C.  Stock. Gly££I2EbQSpJ3at£ .Standard;   Dissolve  0.0473 g B-
               Glycerophosphoric Acid,  Disodium Salt, 5-Hyc3rate in
               approximately 400 ml deionized waterand then bring up to
              500 ml with deionized water.   Add 0.5 ml chloroform to act
              as a preservative.
          D.  Hoxking. filycersEhfigpliate Standard.:  1 ml of c up to 100 mis
              with deionized water will yield 3.09 ug at E/l  (0.096 mg
              P/l).

Preparation. of Ksrk-ing. inorganic, standards:

          A.  Stock Mtrate. Standard;  From nitrate method.

          B.  Eorking. nitrate standards;   0.5,  i.o and 1.5  ml of Nitrate
              Stock Standard A up to  100 ml with deionized  water will
              yield 25 ug at N/l (.35 mg N/l), 50 ug at N/l  (.70 mg N/l)
              and 75 ug at N/l (1.05  mg N/l), respectively.

          C.  Stock OrthopJaoSEnatfi Standard;  From othophosphate method.

          D.  Secondary. OrthOpJasspJaate. Standard;   From othophosphate
              method.

-------
     E.  Korklng d±b2pJ3aspJ3at£ Standards-;  0.5, 1.0 and 2.5 mis of
         Secondary Orthophosphate Standard D up to  100  ml with
         deionized water will yield 0.6  ug at  P/l  (.0186 mg P/l),
         1.2 ug at P/l (.0372 mg P/l) and 3.0 ug at P/l (.093 mg
         P/l), respectively.
 Phosphorus (Acid
The method  used by CBL personnel is that of Menzel,  D.W. and N.
Corwin (1S65) .
                            Outline.
1.   Prepare 0-5% solution of K2S2Og.

     a.  25g IvjS^Og up to 500 mis with deionized water.
     b.  12.5 g Y^lPs UP tc 250 mis with deionized water.

2.   To each 20 ml of sample  (in 30 ml screw  cap test-tube)  add 3.2
     ml of the 5% I^^Og solution and shake.

3.   Place tubes in pressure cooker at 3-4 psi for one hour.

4.   20 mis of standards (3 replicates) are placed in 30 ml test-
     tube and treated in exactly the same manner as the samples.

  5.    Blanks  (3 replicates) consist of 20 ml deionized  water and
       then treated  in exactly the  same manner  as the samples.

  6.    Aliquot of cooled, shaken sample transferred to AutoAnalyzer
       cup with  Pasteur  pipette.

  7.    Phosphate analyzed.
                Menzel, D.W.  and N. Corwin.  1965.  The measurement of
                total phosphorus in seawater based on the liberation
                of organically bound  fractions by persulfate
                oxidation.  UjmoL. <2££gncat*-  10:280-282.
  £Sanifold. Msenbly:   See figure 1

  I&rjD:   Normal

  Sampling Eat£:   40/hr  9:1  SampleA7ash Ratio

           880 nm

              199-B021-04

-------
Reagents;
     1.  Eeifinized Ifeter Diluent;

         Add .5 g sodium lauryl sufate (SLS)  to 500 ml good quality
         deionized water.  Mix well!
     2.  JlsUlfujQc; Ac_id:

         From orthophosphate method.

     3.  AjmeniuiB Molybdate;

         From orthophosphate method.

     4.  Ascorbic, A£id:

         From orthophosphate method.

     5.  Mfcimcny pj?ias£ium Tartrate;

         From orthophosphate method.

     6.  Sediym Laurel Sulfate.
         From orthophosphate method.

     7.  iJoiMng. Eesgents.:

         From orthophosphate method.


Standards.;

     A.  Stock Standard;  KH2P04; from Orthophosphate method.

     B.  Secondary. Standard.:  from Orthophosphate method.

     C.  Working Standards;  Take 0.5, 1.0, 2.0, 2.5 ml of
         Secondary Standard E and dilute each to 100 ml with
         deionized water  which will yield 0.6 ug at P/l (.0186 mg
         P/l); 1.2 ug at P/l (.0372 mg P/l); 2.4 ug at P.I  (.0744 mg
         P/l) and 3.0 ug at P/l  (.093 mg P/l).
     D.  £tQ£k. i^c^jr^Ehosphaie. Standard.:  From alkaline persulfate
         method.
     E.  Hctking. filyi^spJb^p-hate. Standard;  Take  i.o ml of  stock
         Glycerophosphate Standard B and dilute to 100 ml with
         deionized water  which will yield 3.09 ug  at P/l (.096 mg
         P/l).

-------
              Manifold Configuration for Total  Phosphorus
                           (Acid Persulfate)
             To  sampler wash receptacle

   37°C     5  turns
  Heating
  Bath
5 turns
ooioo
Colorimeter
880 nm filters
50 x 1.5 flow cell
199-B021-04 Phototubes
5 turns
 IPPQO
          Waste
                         GRN/GRN  (water)
                                               BLK/BLK (air)
                                               RED/RED (deionized water)
                                               ORN/ORN (sample)	1
                                               Sampler
                                                40/hr
                                                 9:1
                                               ORN/WHT (Reagent A)
                                               ORN/GRN (Reagent B)
               WHT/WHT (From F/C)

-------
                         MANIFOLD CCNFIGURATIC3N FOR PBQSPBATE
    37°C
   Heating
    Bath
               To Sampler Wash Receptacle-]
5 Turn
COLORIMETER

880 run filters
50 mm F/C x 1.5 mm ID

199-B021-04 Phototube
5 Turns
                             Waste
                            GRN/GRN (Water)
                                            BLK/BLK (Air)
                                                    (Sample)
                                            ORN/WHT (Reagent A)
                                            ORN/GRN  (Reagent B)
                                            WOT/WHT  (From F/C)
                                                        Sampler

                                                         40/hr.
                                                          9:1

-------
         Nitroen:
     The sample is heated with a teflon boiling ball in the presence of
     sulfuric acid/  potassium sulfate and mercuric sulfate for 3.5 hours.
     The residue is cooled/  diluted  to the original volume and is then
     analyzed for ammonium.  The ammonium determination is based on a
     colormetric method in which an emerald-greem color is formed by the
     reaction of ammonia with sodium salicylate, sodium nitroprusside and
     sodium hypochlorite in a buffered alkaline medium at a pH of 12.8-
     13.0.  The ammonia salicylate complex is  read at 660  nm using an
     automated analyzer.

     Digestion

     Reagents;

          1.  stock Msisuiic. .Sulfate.:

               Mercuric Oxide, Red (HgOO                   8 g
               Sulfuric Acid/  (H2S04) ;  concentrated        10 ml

               Diluted to 100  ml  with ammonia  free deionized water.

          2.  Digestion
               Potassium Sulfate (K2S04)                  135 g
               Sulfuric Acid (concentrated)               200 ml
               Stock Mercuric Sulfate                     25 ml
               Distilled Water                       qs 1000 ml

               Dissolve 135 g of K^SOx in approximately 500 ml deionized
               water and slowly, add 200 ml concentrated H^SO^   Add 25 ml
               mercuric sulfate solution, let cool and dilute to 1000 ml
               with deionized water.
Digestion

          1.   A 25 ml sample is added to each digestion tube.

          2.   Five (5 ml) of digestion solution and two teflon boiling
               balls  (Fisher Scientific) are then addded to each tube and
               mixed with a vortex mixer.

          3.   SILICONE AIRTIGHT PLUGS ARE INSERTED IN THE DIGESTION TUBE
               WHENEVER THEY ARE NOT BEING HEATED.

          4.   The digestion tubes are then heated in a block digestion
               at 200°C for 1 hour and then at 360°C for 2.5 hours.

          5.   The tubes are then taken off the digestion and allowed to
               cool for 15 minutes.   Approximately 15 mis of deionized
               water  are then added  to  each tube  (to dissolve any
               precipitate) and capped.  Allow to stand overnight.

-------
          6.   The following day, bring up to 25 ml volume with deionized
               water (digestion tubes have been pre-marked) .

Cleaning Digestion Tubes;   25 mis of deionized water are added to each
tube and boiled at 200°C until dry.   You may need  to rinse the tubes with
20% NaOH followed by numerous deionized water rinses.

Analysis.

     BeasentS.:

          A.  Sulfillic, Acid. £anpl£r_ i&gh ^slutiouj.

               Potassium Sulfate (K2S04)                     34 g
               Sulfuric Acid                                50 ml
               Deionized water up to                         1 ml

               To approximately 800  ml deionized water acid 34 g KoSC^ and
               dissolve.  Slowly add 50 ml concentrated 112804 an dilute
               to 1 liter with deionized water.

          B.  sodium chloride. Diluent Solution:

               Sodium Chloride                              10 g
               Deionized water                         qs 1000 ml

          C.  "Sodium Byudiaxidfi Solution:
               Sodium Hydroxide                            200 g
               Deionized water                         qs 1000 ml

               To approximately 600 ml deionized water CAREFUTiTiY and
               SLOWLY add 200 g NaOH.  Please wear goggles!  A great  deal
               of heat will be liberated.  After the solution has cooled,
               dilute to 1 liter with deionized water.

          D.  5odiiffli f&licylai^j/s^djjjm iiitiopjriissid^ Solution:
               Sodium Salicylate                          70.0 g
               Sodium Nitroprusside                        0.3 g
               Deionized water                         qs 1000 ml
               BRLJ - 35                                     1 ml

          E.  Sodium Byj30£niacis3£ Solution:

               Sodium Hypochlorite  (Clorox)                 12 ml
               Deionized waer                           qs 200 ml

          F.  stock Buffer. Solution:

               Sodium Phosphate, dibasic  (Ka2 HP04 7H20)    134 g
               Sodium Hydroxide                              20 g
               Deionized water                          qs 1000 ml

-------
               Heat to dissolve 134.0 g of sodium phosphate, dibasic
               H PO^)  in approximately 800 ml deionized water.  Add 20.0 g
               of sodium hydroxide and dilute to 1 liter.
          G.

             * Sodium Potassium Tartrate                     50 g
               Stock Buffer solution                        200 ml
               NaOH solution (20% w/v)                       100 ml
               BRIJ                                         0.3 ml
               Deionized water                          qs 1000 ml

               *  Fifty (50) grams  of Sodium Potassium tartrate is added
               to approximately 600 ml deionized water. (This is added as
               a solid to avoid the rapid formation of mold during storage
               of a 20% w/v Sodium Potassium Tartrate Stock Solution.)
               200 ml of Stock buffer, 100 ml of sodium hydroxide solution
               are then added.   Deionized water is used to dilute to 1
               liter and 0.3 ml BRLJ is added as the wetting agent.

Analysis. Procedure;

     1)  With the system pumping and deionized water flowing through the
         system, add all the reagent lines  EXCEPT the Salicylate/
         Nitroprusside Line.  After approximately ten minutes, add the
         Salicylate/Nitroprusside line.  If  the pH  of  the  flow stream is
         low, the sodium salicylate reagent will precipitate.

     2)  Prepare standards and blanks in exactly the same  manner as
         samples — taking them all through the digestion procedure.

-------
 c
 a>
 en
 o
 s-
 (O
T3


 (1)
 i-
 O
 c
 o
 (O
 3
 01
 O
o
 (O
             +J
              3
              O
              VI
              to
              «


              S-
              QJ
             oo
             o
             00
              CM
             3C
en

z
cc
                                                                                        


 u
 
c
$— °
3°
•^s

LO°


O
u

CD
c
•f—
4->
fO
OJ
J= CO













•••••

y

3
4->
O

O
.C
C3.

r^
O
1
1^
c^o
o
CO
1
CT>
CD
'—

to
OJ

3

O
-M
O

Q.

^^
1~ 0
O 1
r—
CSJ
O
CO
1
en
en
•—

-------
                          Particulate Analtes
     The direct measurement of particulate C, N & P is the preferred
method used in this laboratory.  It is felt that the greater volume
filtered onto the pad  yields a more representative sample.  The
alternative,  subtraction  of the dissolved from the total sample  to
determine the particulate concentration  often yields negative values
is totally unacceptable.  Direct mesurement is rapid, more  sensitive
more precise.

        ajjd. Storage:
     Surface,  bottom,  above  and below pycnocline water  samples are
collected via  a  submersible  pump system.  A known volume  of  the coll
water is filtered through GF/F filters  (nominal  pore size 0.7  urn),  t
filter folded, placed  in aluminum  foil  and frozen until analysis.


Particulate Carbon .and, Particulate Nitrogen Analysj-Si

                                Outline

     1.   A known volume of water is filtered onto a  25 mm  precombust
         GF/F  (nominal pore  size  0.7 urn)  filter  pad.

     2.   Duplicate sample taken

     3.   Samples  are folded  in half, wrapped in aluminium foil,
         labelled and  frozen for  later  analysis.

     4,   Before  actual  analysis the pads in aluminium foil are place'
         in a  drying  oven overnight at  45°C.

     5.   Samples,  standards  and blanks  are then loaded  into  sample
         wheel and analysis  begins.


Instrument;  Control  Equipment Corp. Model 240-XA Elemental  Anlyzer
1.  CHN Analysis - Carbon (CC^),  hydrogen  (I^O)  and  nitrog
       )  content  in  organic and inorganic compounds  can be
       ermined
              (N-p)
              dete
              a.   Combustion of the weighed or  filtered sample occur
                  pure oxygen under static conditions  (see figure ?)

              Helium is used to carry the combustion products throug
              analytical system to the atmosphere.   Helium is also u:
              for purging the instrument.   It is a chemically inert  <
              relative to tube  packing chemicals and has a high
              coefficient of thermal conductivity.

-------

-------

-------
    a.  Solenoids A-G control  the  gas  flow through the sys
       valves H and I - are used  for  automatic leak  test

    The products of combustion are passed over suitable r<
    in the  combustion tube to assure complete oxidation.
    reduction tube, oxides of nitrogen are converted to
    molecular N  and  residual N2 is removed.  Trie CC^/ wab
    vapor and nitrogen are then flushed into a mixing volt
    where they are thoroughly homogenized at a precise vo
    temperature  and  pressure. This mixture is then releas<
    the sample volume into the thermal conductivity  detec

    Between the  first of three pairs of thermal conductiv
    cells an absorption trap removes water from the  saitipl
    The differential signal read before and after the tra
    reflects the amount of v/ater  (hydrogen) in the origin
    sample. A similar  measure is made of the signal outj
    second  pair of thermal conductivity cells between whi
    trap removes CO?.  The remaining gas only consists of
    nitrogen and helium.  This gas passes through a therm
    ccnductvity cell and the output signal is compared to
    reference cell through which pure  helium flows.  This
    the  nitrogen  concentration.
1.   At the start cf each run, the entire system is flushe
    helium at a high flow rate while the sample  is in the
    zone.

2.   The injection box  is automatically purged using the F
    valve.

3.   Tne combustion  train is  then filled with oxygen and t
    sample  is injected.

4.   Shortly  after sample injection, D valve closes to see
    the combustion  train from the rest of the analytical
    system,  which is still being flushed with helium.

5.   Combustion occcurs under static conditions in an exce
    oxygen  at about 950°C.

6.   During  this  tir.ie the mixing volume  is being  purged w:
    and F  valves open.

7.   Then F closes to allow the pressure in the mixing vol
    reach  atmospheric pressure.

8.   Close  to the end of the  combustion  period, a  high
    temperature heat coil around the combustion  tube vapc
    any condensates at the entrance of the combustion tut
    which may have  been produced by diffusion of  the samj
    during  initial  stages of combustion.

-------
  9.   To  assure complete combustion, the ladle  is  retracte
      a small amount of 0 2 is added and the ladle is fully
      injected.

 10.   During high heat, valve E closes, A and D reopen, an<
      combustion products are completely flushed from the
      combustion train into the mixing volume.

 11.   When a pressure of 1500 mm Hg is reached, valve D cL
      trapping the sample gas in the mixing volume.

 12.   The time required to reach this pressure is called tl
      fill  time  (usually 60-1GO  seconds).

 13.   The combustion train  remains under positive pressure
      the end of the complete cycle.

 14.   While the sample gases are mixing,  pure helium flows
      valve C through the sample volume and through the
      detectors.

 15.   The signal from each detector bridge is read and stoi
      memory  to provide a baseline reading with no sample c
      the  detector.

 16.   After mixing is complete and baseline reading has be<
      F and G  open which allows the sample gas captured in
      mixing  volume  to expand through the sample volume to
      atomsophere.  During  this time valve C is closed and
      is  low  flow  through  the  detector.

i. ~& i£. Ul££_S.uj;
 17.   Wnen sample gases are near atomospheric pressure, va]
      and  G close  and C opens.  The water, carbon dioxide  c
      nitrogen  concentrations of the sample are Treasured b}
      displacing  the sample gas through the detectors to t\
      atomosphere.

 18.   The  volume of sample gas  in the system is large enouc
      that the  helium flow allows measurement of the center
      each detector in sequence, under steady state condit:
      for  at least 30  seconds.

 19.   The  sample  gas passses  through the detectors at a cor
      flow, pressure and temperature.  This eliminates any
      variation in water vapor  pressure or water vapor
      concentration due to changes in water adsorption of  t
      walls of  the pneumatic  system.

 20.   While the sample gas  is displaced through the detectc
      the  output  signals are  recorded.

-------
         21.  T_h_e. dJJLf^jr-e-Rc_e. In microvcLts b_e_t_kLe_e_n .e_acJi
                                  fur. iJie. aame. sL&ksfiiisj: JLs In
22.


23.



24.
              At the end of a cycle,  the exhaust valves are  opened
              allow the sample gases to escape  to  the  atmosphere.

              The HF-159 DATA HANDLER then prints  out  the  calculate
              results,  places the instrument in STANDBY with C valv
              open, and waits for the next command.

              With the HA automatic  injector the results  are printe
              after each run, but the run cycle continues  until the
              selected number of runs have been completed.
Definition £>JL

ELMKS


BOAT


CAPSULE
COMBUSTION
    TIME

COMBUSTION
    TUBE
DETECTOR



DETECTOR OVEN


DOUBLE DROP




FILL TIME


FURNACE


INJECTION
     T_e_rjns_

       Blank value = blank read minus blank zero.
       An indicator of the stability of the system.

       Platinum container used to inject sample into  combi
       furnace.

       Aluminum, tin, or silver container.  Used  for  seali
       samples with an accurate weight, and maintains  intec
       prior to combustion.
       Time for sample to fully combust in oxygen  environn
       Quart/ tube used for packing reagents and  for  sampj
       combustion.

       The heart of the analyzer consisting  of  triree brid
       Determines the percentages of carbon, hydrogen,  anc
       nitrogen in the sample via thermal conductivity.

       Keeps the temperature of the detector, pressure
       transducer, mixing volume, and sample volume constc

       On HA automation,  two samples ore dropped  for  one i
       used for filter and inorganic applications.   Sample
       requires a + prefix.

       Time  required  to build up the pressure in  the  mixir
       volume to 1500 mmHg.

       Heats the reduction and combustion tubes to operat;
       temperature.

       Moving the ladle,  containing a boat or capsule wit!
       sample into the combustion furnace.

-------
INJECTION BOX


K-FACTOR


LADLE


MIXING VOLUME

MOTHER BOARD


READ SIGNAL



REDUCTION TUBE




RUN


RUN CYCLE




SAMPLE VOLUME


SCRUBBERS

TRAPS

ZERO VALUE
For the HA automation,  the box assembly that houses
sample wheel.

Instrument sensitivity factor  in  microvolts per
microgram., calibrated using  a  chemical standard.

Transports the boat  or  capsule v/ith the sample into
combustion furnace.

Spherical bottle in  which sample  gases become homog

The main printed circuit  board.   All  240-XA power
supplies are located here.

Steady state signal  produced by detector  when sampl
gases are present in stable concentration.

Quartz tube  with reduced  copper that  removes excess
from  the sample gas and  reduces oxides of nitrogen
free  nitrogon.

One sample analysis from start to fir.ish, including
printout.

Typically a day of operation - the entire enalytica
sequence of runs frcm the first run to the last run
including the transfer of the run cycle  data  to  the

Tube where sample gas is  echausted from the mixing
prior to entering the detector.

Removes water  and CO? from the gas supplies.

Used  for removing water and C02 from the sample gas

Bridge signal  with only pure helium flov/ing through
detector.
Calibration:

     The following  formula is used  to calculate K factors,  as  well
and H concentrations in unknown samples.

         %=!*!* (R-2-B)  * 100
             K   W

     where:  K = Calibration factor  for  the  instrument
             W = Sample weight
             P. = Read signal of sample  gas
             Z = Zero reading or  instrument  baseline
             B = Blank signal (instrument,  ladle and  capsules)
         U_s_e.d_:  Acetanilide

-------
                Composition:  C = 71.09%
                              H =  6.71%
                              N = 10.36%

     -tloner;  The conditioner coats the walls of the system  surfaces
             (especially the mixing and sample volume) with water
             vapor, carbon dioxide and nitrogen which simulate actu,
             sample running  conditions.

£la_nj<_s.:  Should be run immediately after a conditioner.

i!vnf-a_c_Loj:_s_:   Always run a conditioner before a standard  and  before a.
            after a blank.

            K factors vary greatly from instrument to instrument, b
            should be within the following microvolt/microgram rang

            KC = 15 to 25
            KK = 44 to 76
            K.N =  6 to 10

-------
Particulate Phosphorus  (PP) :

     The method used by C3L personnel  is  that of Aspila,  et al.  (1<


                                 OUTLINE

          1.   Known volume of  water  passed through  Whatman prcombus
              mm GF/F filter  (0.7 urn pore  size).

          2.   Frozen

          3.   Dried at 50°C overnight

          4.   Muffled at 550°C for 1.5  hours.

          5.   Cooled overnight

          6.   Combusted filter placed in a labelled 50 ml plastic s

              cap centrifuge  tube and ] 0 ml IN H Cl added.

          7.   Capped and shaken several times  during a 24 hour peri

          8.   Supernatent extract transferred  to AutoAnalyzer cup w
              Pasteur pipette.

          9.   Phosphate (that  was extracted into the IN H Cl) analy

         10.   Blank filter pads are carried through the procedure a

                    Aspila/ I./ H Agemian, and A. S. Y. Chau.  1976.
                   serr.i-auton.ated method for the determination of
                   inorganic,  organic and  total phosphate in
                         t. 101:187-197.
              Assembly:  See figure ?.

            Normal

              Rat_e:  40/hour  9:1 Sample/Wash ratio

     F_ili_e_j.:  880 nm

                 199-B021-04
                     Silicon at analysis temperature  > 40°C  and or
                     N H2S04 in the mixed reagent solution causes
                     interference in the concentration range of  >
                     .05  mcj/ml silicon in the extract.  These
                     conditions are avoided by maintaining an acid
                     concentration of 2.45  N ^304 in the reagents
                     analysis at 37°C.

-------
1.   US
2.
     Hydrochloric Acid  (HC1) /
      concentrated  (sp.  gr.  1.19)                     86 ml
     Deionized water  (QS to  :)                     1000 ml

     Add 86 ml cone. HC1 to approximately 800 ml good qua!
     deionized water  while cooling (cold water bath).  Af
     the solution is  cooled, dilute to one liter with clei
     water.
     Add .5 g sodium  lauryl  sulfate (SLS)  to 500 ml good
     quality deionized water.  Mix  well!
3.  SiilfiuJ^ Ac^Lo. JjL_i PJj.

     Frcni orthcphosphate mc-thoc

4.  Ajrjnojiiiin Mfilyt»jiAiL£j.

     From orthophosphate method

5.  LS££>JCbJ£. Ac.ig_i

     From orthophosphate method

6.  AxJJjRjmy P^-fcj^iS-uu:; T^jij:^i-e_

     From orthophosphate method

7.  SaiiiLUD Lauryl £ulLat-e. 1SL5L

     From orthophosphate method

8.  Ko_rJujici £e^aeJit^_L

     From orthophosphate method
A.  £i,ficJi 5iACldaxdj.  From orthophosphate method

B.  Secondary Standard;  Take  0.1, 0.25, 0.5, 1.0 ml of  £
    standard A and dilute each to 100 ml with IN HC1 whic
    yield 12 ug at P/l  (.372 mg P/l);  30 ug at P/l  (.93
    P/l);  60 ug at P/l  (1.86 mg P/l)  and 120 ug  at P/l C
    P/l) .

-------
         fin af.

         [% on AA Chart of Blank] *  F  * HC1 extraction volume  (ie.,
mg P/l = _________________________________________________________
         Volume filtered  (1)  onto the  filter pad
               (F is the  mean  of ^
                                % on AA Chart of standard)
Total Suspended Solids (TSS) :

     The method used by CBL personnel  is  basically  that  of AFHA  met!
208D (Total Nonfiltrable  Residue) dried at 1C3-I05°C and EPA method
Residue/ Total-Non-Filterable  with  some modification.  Washing  of  f
pads with aliquots of deionized  water  has not  teen  included.  TSS  i:
retained material on a standard  glass  fiber  filter  disk  after filtr.
of a well mixed sample of water.  Results are expressed  in rr.g/1.
          1.   V.'hatrr.an 47 mm GF/F filter pads (C.7  urn  pore  size)  are
              numbered and then  weighed to  4  ce.cimal  places.

          2.   The pads are then  placed  in an  oven  at  103°C  for  one ]

          3.   Padi- are then weighed.

          4.   In  the  field, a known volume of water is  filtered thr<
              the pad.

          5.   Upon returning  to  the  laboratory,  these pads  are  froz»

     Day. af Analysis.

          6.   Filters are dried  for  one hour  £t  1C3-105°C  and then
              weighed and the weights recorded.  A few  pads in  that
              are weighed again one hour later to check for any
              additional weight  loss.   If there  is more than  a  0.5 r
              weight  loss between the same filter all pads are  then
              dried and re-weighed.

          7.   Calculation

               (weight of filter  +  residue)  - (weight of filter)  * '.
    mg TSS/1 = -----------------------------------------------------
                              mis  of  sample  filtered

-------
                      0)
                      o
                      OL
                      CJ
                  i/l  OJ
                  ro i—
                  3  U
                      ro
                  J-  •*->
                  OJ  D.

                  O. O

                  ro  S-
                  1/1
                                               E ^  ..
                                               ro O CTi
                                           <£
                                           rx
a:

                                                                         an
                    C
                    QJ
                                                          U
                                                          ro
                                                          Q.
                                                          to
                                                                                V
                                                                                       a:
                                                                                       LU
                                         CO
                                         U
                                         QJ
                                                                                       or
                                                                                       o      E
                                                                                       _i      c
                                                                                       o
                                                                                       o     o
                                                                                              CO
                                                                                              CO
                                                                                                         QJ
                                                                                                         o
                                                                                                         2
                                                                                                         o
                                                                                                                         t/)
                                                                                                             o
                                                                                                         E -C     c
                                                                                                         E o.     o
                                                                                                         IT)
CD
 I
                                                                                                                    QJ
                                                    X CM     «£
                                                       o
                                                    E CQ
                                                    E   I      QJ
                                                       CT»     4~>
                                                    O cr>     o

-------
                     APPENDIX D



METHODOLOGICAL COMPARISONS FOR NITROGEN DETERMINATION



             IN ESTUARINE WATER SAMPLES

-------
          Methodological Comparisons for Nitrogen and  Chlorophyll
                 Determinations in Estuarine Water Samples
                                     by

                           Christopher F.  D'Elia1

                              Kenneth L.  Webb

                              Diane V. Shaw1

                            Carolyn W. Keefe
     ^Nutrient Analytical Services Laboratory,  Chesapeake Biological
Laboratory.  Center for Environmental and Estuarine Studies, University
of Maryland, Solomons,  MD 20688-0038.
     *\
     ^Virginia Institute of Marine Science, Gloucester Point, VA, 23062
                              Submitted to:

                       Power Plant Siting Program
                     Department of Natural Resources
                            State of Maryland
                           Annapolis, Maryland

                                   and

                      Chesapeake Bay Liaison Office
                  U.S. Environmental Protection Agency
                           Annapolis, Maryland

-------
                                ABSTRACT

     This study was undertaken to compare results obtained with "standard" and
"alternative,  new" techiques  for total  nitrogen  and  chlorophyll determination
in estuarine water samples.

     The standard technique for total nitrogen (TN)  determination recommended
by the  U.S.E.P.A.  involves the  total  Kjeldahl  nitrogen  (TKN)  procedure  in
which TKN + nitrate + nitrite gives TN.  The EPA TKN procedure using the
Technicon Block Digester proved difficult to implement  with estuarine water
samples:  the block digestor heated samples unevenly and continous  flow
analyzer baselines were unstable.  However, standard "spikes" with  a variety
of analytes yielded quantitative recovery and exhibited no salinity effect.
The alternative, the total persulfate nitrogen (TPN) technique, gives TN
directly and is easier to perform.   More samples can be run per day using the
TPN procedure.  TPN determination on standard spikes, like TKN,  yielded
quantitative recovery and no salinity effect.  A comparison of values obtained
using both techniques  on natural, estuarine water samples collected from a
variety of locations in the Chesapeake Bay over  an  annual cycle yielded
equivocal results.  The regression  equation TPN  (less nitrate 4 nitrite) =
21.79 (± 1.04) + TKN • 0.153 (± 0.021),  best fitted  the data.  At low TKN and
TPN values the two techniques gave  comparable results,  but as TKN values
increased, TKN gave consistently higher values.   Whether this discrepancy
results from an over-recovery by TKN or under-recovery by TPN cannot be
determined at present.  Additional  comparative work is continuing using a
modified TKN procedure to improve continous flow analyzer baseline stability.

     The standard technique for chlorophyll a, determination recommended by the
U.S.E.P.A.  involves grinding a glass-fiber filter,  extraction  with  90?  acetone
and spectrophotometric determination of pigment concentration.  The
alternative technique we tested involved extracting the filter with
dimethylsulfoxide(DMSO):acetone:water (9:9:2)  and reading pigment
concentrations using a fluorometer  calibrated with  chlorophyll a. from a
commerical supplier.  The results indicated that the fluorometric and
spectrophotometric methods for chlorophyll a. estimations in general use have a
low accuracy  (approximately ± 30$) due to storage and interference problems.
The DMSO-based technique allows for the immediate extraction of pigments from
plankton samples  and prevents  the loss of chlorophyll a. due to storage  and
subsequent grinding and extraction  with 90$ acetone.  In one comparison,
reduction in recovery after storage was nearly one-third.  Chlorophyll  b_,
which has been shown in the literature to interfere  with the determination of
chlorophyll 3., was shown to occur in Chesapeake Bay phy top lank ton.   For
convenience,  cost, rapid extraction, and prevention of storage loss of
pigments, we  recommend  the DMSO-extraction technique followed by fluorometric
determination within  several  days.   An acceptable alternative is to extract
and read the samples spectrophotometrically, within a few days of sampling in
cuvettes of appropriate path length (1-1Ocm),  with  and  without acidification
for phaeophytin correction.   If truly high accuracy, high precision results
are required, an HPLC method  is  desirable.

-------
                       Table of Contents

Overview	1-1

Section I - Comparison of TPN and TKN methods	....1-1
     General Description of N Fractions in Natural
          Waters	 ...1-1
     Background and literature review	1-5
          1.  Wet oxidation procedures	 1-5
               a.  Kjeldahl oxidation	1-5
               b.  Photo-oxidation	 ..1-5
               c.  Persulfate oxidation	 1-6
          2.  Dry combustion procedures	 1-6
     Methods	 1-7
          1.  Sampling and experiment s	1-7
          2.  TPN procedure	1-7
               a.  General description	1-7
               b.  Reagents	1-7
          3.  TKN procedure	1-8
               a.  General description	1-8
               b.  Reagents	1-8
               c.  Digestion procedure	1-8
               d.  Standards and blanks	1-9
          4.  Experimental comparisons	1-9
     Results and Discussion	.1-9
          1.  General observations	1-9
               a.  Block digestor temperature control	1-11
               b.  Standards	 1-11
               c.  Teflon boiling chips	'. ...1-11
               d.  Dilution loops	1-12
          2.  TPN and TKN recovery efficiencies vs
               salinity	1-12
               a.  TPN	1-12
               b.  TKN	1-12
          3.  Comparison  of  TPN  and  TKN  determin-
               ations  on estuarine water samples	1-17
          4.  Precision  of  TPN  determinations  on
               replicate samples	1-17
          5.  Advantages and disadvantages of the two
               methods.	>...1-22
          6.  Further considerations	1-22
     Summary and Recommendations	1-26

Section II - Comparison of chlorophyll methods	....II-l
     General Description of  chlorophyll rationale	II-l
     Background and literature review	II-2
          1.  Calculations	 II-2
          2.  Interference by phaeo-pigments and
                accessory  chlorophylls	11-3
          3.  Storage, freezing	»...II-5
     Methods	*	 .11-5
           1.  EPA  Chesapeake Bay Study, July 1980	11-5
               a.  Sampling	 .11-5
               b.  DMSO extraction technique	, ...II-5
               c.  Tube coating technique	11-6

-------
               d.  Fluorometry	•	II-6
               e.  Storage	11-6
               £.  Calculations	11-6
          2.   State of Maryland Chesapeake Bay
               monitoring	11-6
          3.   Virginia EPA Chesapeake Bay monitoring	11-6
          4.   VIMS York River Plankton monitoring	II-7
     Results  	11-8
          1.   Comparison of DMSO and 90% acetone for
               extraction by fluorometry	II-8
          2.   Comparison of Fluonnetry with spectrophotometry
               a.  90% acetone with grinding....	11-11
               b.  DMSO/Fluorometry compared with
                  90% acetone/spectrophotometry	11-11
          3.   Storage effects	11-15
          4.   Presence of chlorophyll _b and c^	11-15
          5.   Precision of DMSO method...	11-16
     Discussion	11-16
     Comments on Interim Guidance on QA/QC for the
          Estuarine Field and Laboratory Methods	11-19
     Recommendations	11-20

References	11-21

Appendix I	III-l

Appendix II	111-5

Appendix III	III-8

Appendix IV	'	III-9

-------
                                  OVERVIEW

     The following report is submitted jointly to the Maryland Department of
Natural Resources' Power Plant Siting Program (PPSP) and the Environmental
Protection Agency's Chesapeake Bay Liaison Office.  The work reported on was
performed at the request of these agencies to compare (1) total Kjeldahl
nitrogen (TKN) determination using a semi-automated block digestor procedure
with a semi-automated alkaline persulfate nitrogen (TPN) digestion
determination and (2) several alternative methods of chlorophyll a
determination.  These determinations are of considerable interest with
regard to water quality monitoring programs on the Chesapeake Bay.  The TKN
vs. TPN comparisons were done in the Analytical Services laboratory of
Chesapeake Biological Laboratory (CBL) which typically uses the TPN
procedure, and the chlorophyll a^ determinations were performed primarily by
the Virginia Institute of Marine Science (VIMS) with assistance by CBL.

     The funding agencies solicited this work to ensure that the adoption of
alternative, non-standard methods would provide data comparable to those
obtained using standard, EPA-approved methods.
                                 SECTION 1

                     COMPARISON OF TPN AND TKN METHODS

General Description of N Fractions in Natural Waters

     Figure 1-1 shows the nitrogenous fractions typically determined in water
quality studies.  Also shown are the abbreviations typically used for these
fractions.

     The distinction between "particulate" and "dissolved" nitrogen is
necessarily arbitrary.  Particulate N (PN) is assumed to be that retained
on a filter having a nominal pore size between 0.45 and 1.2 um.  Total
dissolved N (TON) is that passing through such filters, and undoubtedly
contains some small particulates and colloidal compounds, regardless of the
filter used.  In most cases, the difference between that retained on
different filters in that range of nominal pore sizes is negligible,
although the filter matrix used may have an effect—organic "membrane"
filters are more prone to contamination than glass fiber filters.

     .Figure 1-2 and Table 1-1 present all abbreviations used in this report
and give a comparison of how the different N fractions are determined using
standard EPA methods and the commonly used oceanographic measurements
employed by CBL.  In Table 1-1 all determinations of a given fraction done
directly, i.e. not by difference or sum of other fractions, is indicated in
boldface.

     The major differences between the standard EPA and commonly used
oceanographic procedures are that the latter (1) measure PN directly by
elemental (CRN) analysis of particulate material filtered onto glass fiber
filters, and (2) determine TON using alkaline persulfate oxidation (TPN
analysis).  Oceanographers have adopted the alternate procedures for the
following reasons.  Elemental analysis is extremely precise and offers the
                                      1-1

-------
                             WHOLE WATER SAMPLE
                               TOTAL NITROGEN
                                    (TN)
           "ParticuI ate" Nitrogen
                    (PN)
          Total  "Dissolved" Nitrogen
                      (TDN)
                   "Dissolved"  Inoranic Nitrogen
                Nitrate
                (N0")
Nitrite
 (N02~)
nrnrron ' urn
 (NH/)
                         Dissolved "Orcanic" Nitrcce
                                     (DON)
FicLre 1-1.  N fractions determined  In typical water  quality studies.

-------
A.  Standard EPA
                                       TN
                                          0.45-utr. Killicore -e~;brane  filter
                     PN                                 TON
     (TKN [whole water] - TKN [filtrate])     (TKN [filtrate] +  N03~  + N02~)
                                           DIN
                                   DON
                                   (N0
            NH4+)     '  TKN  [filtrate]  -  NH4+)
                                    N03     N02~    NK4
                                All  by  standard  automated
                                 colorimetrlc  procedures
E.  Typical Oceanographic  (CBL)
                                        TN
                                           0.7-um GF/F class-fiber  filter
                        PN
               (Elemental  Analysis
                   on f I Iter)
                  TON
           (TPN [f iltrate])
DIN
NO,"
                                                                    DON
                                                           (TPN [filtrate]  - DIN)
                            NO;
NO-
                         All by standard auton-.cted
                         co1 orimetric procedures
      fe 1-2.   Ccrparison of stcridard EPA  and typical ocearicgraphic  
-------
Teble 1-1.   Comparison  of  standard  EPA and  typical  oceanographic (C3L)
procedures.   Fractions measured directly ere boldfaced.
Fraction               EPA                      Typical Oceanccraphlc  (CBL)
   TN            TXN  (whole water)         .            PN  +  TDN
                 + N0~ + N0~
   PN            TKN  (whole water)                      PN
                 minus TKN  (f I Itrate)
   TDN           TKN  (filtrate) +  N03~  +  N02"           TPN (filtrate)


   DIN           K),~  +  N09~  +  NH/            •         Sa^>e  as  EPA
                  H03~  (C-oIorlcetrlc)                    Ssrr«  as  EPA
                                                        Sarr>e as  EPA
                  NH4+ (Colortnetrlc)                    Satne as  EPA
   DON            TKN  (filtrate)                         TDK minus  DIN
                  minus  (N03~  +  N02~)

-------
advantage of .being a direct, rather than indirect determination of that
fraction.  TPN digestion is much simpler and easier to perform than TKN
analysis, costs less to analyze per sample, and provides a direct
measurement of total dissolved nitrogen (TON).

Background and Literature Review

     Oxidation procedures utilized in TKN and TPN methods are used
primarily to oxidize N-containing organic compounds, i.e. dissolved organic
nitrogen (DON).  The following discussion pertains to these and similar
oxidation procedures for DON, and is provided here for general background
information.  Much of this was exerpted from D'Elia (1983).

     As was shown in Figure 1-2, DON is determined by difference between total
dissolved nitrogen (i.e. nitrate + nitrite + ammonia + organic nitrogen) and
dissolved inorganic nitrogen (i.e. nitrate + nitrite + ammonia) or by
aitterence between Kjeldahl nitrogen (ammonia + dissolved organic nitrogen)
and ammonia.  A variety of oxidation procedures have been used to oxidize and
quantify DON.

     I. Wet Oxidation Procedures

          a. Kjeldahl Oxidation.  Most of the earlier procedures for DON
determination lacked adequate sensitivity, and involved the traditional but
tedious Kjeldahl wet oxidation procedure (Kjeldahl, 1883).   This approach
consists of an initial evaporation step followed by an oxidation with
concentrated sulphuric acid.  It is generally regarded as difficult to
perform, and lends itself neither to shipboard use or to automation.  In
early work, ammonium produced by the digestion process was determined by
titration (Barnes, 1959), while more recently colorimetric procedures have
been used (Strickland and Parsons, 1972; Webb et al. 1975; Webb, 1978).  A
number of semiautomated procedures are in use in which samples are oxidized
by a manual Kjeldahl procedure with subsequent ammonia determination on the
digests being performed by autoanalysis using photometric (Faithfull, 1971;
Scheiner, 1976; Jirka et al., 1976; Conetta et al., 1976; Adamski, 1976) or
eiectrometric procedures (Stevens, 1976).

          b. Photo-oxidation.  The photochemical oxidation procedure first
developed by Armstrong et al. (1966) has generally superceded the Kjeldahl
oxidation procedure in most marine applications.  A small quantity of
hydrogen peroxide is added to a sample contained in a quartz reaction
vessel, and high wattage mercury lamps are used to produce ultraviolet light
to photo-oxidize organic nitrogen, nitrite and ammonia to nitrate; nitrate
is then determined as described previously.  The procedure is considerably
less tedious than the Kjeldahl procedure, can be performed at sea, and
unlike other procedures for DON oxidation, is relatively easy to automate
(Afghan et al., 1971; Lowry and Mancy, 1978).  However, it does have some
shortcomings.  Workers testing this method in freshwaters have found that
the photochemical reaction is very pH-sensitive and may not completely
oxidize compounds such as ammonia and urea (Afghan et al., 1971; Henriksen,
iy/U; Lowry and Mancy, 1978).  Lowry and Mancy (1978) found that
ultraviolet digestion gave good results decomposing C-N but not N-N bonds,
yet felt that most compounds implicated in biological processes would be
recovered satisfactorily.  Obviously, for samples  containing a large amount
of nitrate plus nitrite, such as those from the deep ocean, the precision
ot DON determination by use  of photo-oxidation will be less than that of a

-------
modern Kjeldahl procedure.

          c. Persulfate Oxidation.  Koroleff (1970; 1976) developed an
alternative wet oxidation procedure for total nitrogen determinations that
is becoming more widely used.  He found that under alkaline conditions at
100°C and in the presence of excess potassium persulfate, organic nitrogen
in a seawater sample is oxidized to nitrate.  Nitrate is then determined by
the standard photometric procedures used for nitrate determination.  D'Elia
et al. (1977) and Smart et al. (1981) have shown that organic nitrogen
determinations by the persulfate and Kjeldahl techniques yield comparable
results and precision for both sea and freshwater samples; they also
discussed the advantages and disadvantages of persulfate oxidation relative
to Kjeldahl oxidation and photo-oxidation.  Nydahl (1976) and Solorzano and
Sharp (1980) have suggested some improvements to Koroleffs original
procedure that alter reaction pH, lower blanks, and provide for the
requisite excess of peroxydisulfate.  Nydahl (1976) noted that errors may
result when using persulfate oxidation on turbid samples; he also provided
an in-depth study of reaction kinetics and percentage recovery at varying
oxidation temperatures.  Valderrama (1981) reported the simultaneous
determination of total N and total P using alkaline persulfate oxidation.
Goulden and Anthony (1978) have studied kinetics of the oxidation of organic
material using persulfate and have thus provided a basis for still further
refinement of the procedure such that simultaneous determination of C, N and
P may ultimately be possible on the same sample.  As in the case of photo-
chemical oxidation, determination of DON by the persulfate technique will
have poor precision in the presence of large quantities of nitrate or
nitrite.

     The original Koroleff procedure has been improved by Koroleff (see
Grasshoff et al., 1973) and modified recently to provide for increased
precision (Kalff and Bentzen, 1984) and for semiautomation and simultaneous
determination of both N and P (Gilbert et al., 1977; Ebina et al., 1983), and
tor determining N and P in particulate matter (Lagner and Hendrix, 1982).
Both reports indicated that satisfactory recoveries were obtained with most
organic nitrogen compounds.

     l. Dry Combustion Procedures

     Dry combustion procedures have been generally disappointing or
impractical for determining DON, although a recent report (Suzuki et al.,
iy85) suggests that a practical alternative may be at hand.  Gordon and
Sutcliffe (1974) reported a dry combustion procedure in which a seawater
sample is freeze dried and the salt residues subsequently ignited in a CHN
analyzer.  The obvious disadvantage of this is the need for a freeze drier
and the time involved in sample preparation.  Other procedures have been
developed in which small volumes of sample are injected directly into a
combustion tube for evaporation and combustion (Van Hall et al., 1963;
Fabbro, et al., 1971; Hernandez, 1981), but these  have not found wide use by
oceanographers because expensive and specialized equipment is required and
sea salt accumulation in the combustion chamber may reduce oxidation
efficiencies.

     Recently, Suzuki et al. (1983) reported on a  high-temperature
catalytic oxidation method in which nitrogenous compounds in liquid samples
are oxidized on a platinum catalyzer at 680°C under oxygen atmosphere and
the generated nitrogen dioxide (M) is absorbed into a chromogenic reagent,

-------
followed by a spectrophotometric determination.  These authors report that
the TPN procedure yielded from 30-90% of the recovery afforded by their
pyrolysis technique.  Unfortunately, the required instrumentation for this
procedure, the Sumitomo TN-200 total nitrogen analyzer is not available in
the U.S., and there have been no other published comparisons between results
of this dry combustion technique and wet oxidation procedures.  However,
given the results of the Suzuki, et al. (1985) study, more comparisons
should be made between their dry combustion and other oxidation procedures.
Methods

     1. Sampling and experiments. Samples for comparing TKN and TPN
determinations derived from three sources: (1) samples collected by the
"SONE" program of W.R. Boynton, et al.; (2) samples collected from the large
scale outdoor continuous culture system operated by the Academy of Natural
Sciences at Benedict, MD; (3) samples prepared in an experiment to compare
recovery of spikes of standard compounds in water of different salinity.

     All samples were frozen as soon as possible after collection and
were thawed immediately before analysis.

     2. TPN procedure.  TPN determination was basically that of D'Elia et
al. (.iy//), with the following exceptions: (a) the oxidation was done on 10
ml samples in 30-ml glass screw-cap test tubes, and (b) the method used
to determine the nitrate concentration in the digest was the EPA-approved
AutoAnalyzer method (353.2)(USEPA, 1979).

     This method with the above modification has been in use at CBL for the
past five years, although some improvements in the methodology have been
proposed by others (e.g. Valderrama, 1981; Sol6rzano and Sharp, 1980) that
may help further improve the method.

          a.  General Description.  15 ml of alkaline persulfate reagent is
added to the 10 ml sample in the 30-ml screw-cap test tube.  Samples are
autoclaved at 100-110°C for one half hour and slowly brought back to room"
temperature.  Each digested sample is neutralized by the addition of 1.5 ml
of 0.3 N HC1 and mixed with a vortex mixer.  Two ml of borate buffer is then
added to the sample and vortexed.  The nitrate concentration of the buffered
samples is then determined.

          D.  Reagents.  Reagents were prepared as follows:

     o  Oxidizing reagent: 3.0 of NaOH and 6.7 g of low N  «0.0003%)
potassium persulfate, K.,S20y, are dissolved in 1 liter with nitrogen-free
distilled water just before use.

     o  0.3 N HC1

     o  Borate buffer solution:  30.9 g of HgBOo are dissolved in distilled
water, 101 ml of 1 N NaOH are added, and  the  solution brought to 1 liter with
distilled water.

-------
     3. TKN procedure.  We used a semiautomated total Kjeldahl nitrogen
(.TKN) procedure—EPA method 351.2 (colorimetric, semi-automated block
digestor, AutoAnalyzer II).  The TKN procedure we employed was as close to
that used by the EPA's Central Regional Laboratory in Annapolis (U.S.E.P.A.,
iy/y) as possible.  On several occasions, we used the identical equipment
used by EPA for analyses.  This was done to obtain the most comparable TKN
data.

          a. General Description.  The sample is heated with a boiling chip
in the presence of sulfuric acid, potassium sulfate, and mercuric sulfate
for four and one-half hours.  The residue is cooled, diluted to the original
volume and placed on the continuous flow analyzer for ammonia determination.
The determination of ammonia-N is based on a colorimetric method in which
an emerald-green color is formed by the reaction of ammonia with sodium
salicylate, sodium nitroprusside, and sodium hypochlorite in a buffered
alkaline medium at a pH of 12.8-13.0.  The ammonia salicylate complex is
read at 660 nm using a continuous-flow analyzer photometer.

          b. Reagents.  Reagents were as follows:

     o  Digestion mixture: 25 ml Hg2S04 + 200 ml cone, sulfuric acid + 133 g
^SO^ are diluted to 1 liter with ammonia-free distilled water.  l^SO^
solution:  8 g HgO + 10 ml cone. I^SO^ diluted to 100 ml with ammonia-free
DW.

     o sui±uric acid solution (4%):  add 40 ml of cone, sulfuric acid to 800
ml of ammonia-free distilled water, cool and dilute to 1 liter.

     o Stock Sodium Hydroxide (20%): Dissolve 200 g of sodium hydroxide in
you ml of ammonia-free distilled water and dilute to 1 liter.

     o  Stock sodium potassium tartrate solution (20%):  Dissolve 200 g
potassium tartrate in about 800 ml of ammonia-free distilled water and
dilute to 1 liter.

     o  Stock buffer solution:  Dissolve 134.0 g of dibasic sodium
phosphate (Na2HPO^) in about 800 ml of ammonia free water.  Add 20 g of
sodium hydroxide and dilute to 1 liter.

     o  working buffer solution:  Combine the reagents in the stated order;
add 200 ml of stock buffer solution to 250 ml of stock sodium potassium
tartrate solution and mix.  Add 120 ml sodium hydroxide solution and dilute
to 1 liter.

     o  Sodium salicylate/sodium nitroprusside solution: Dissolve 150 g of
sodium salicylate and 0.3 of sodium nitroprusside in about 600 ml of ammonia
free water and dilute to 1 liter.

     o  Sodium hypochlorite solution: Dilute 6.0 ml sodium hypochlorite
solution to 100 ml with ammonia-free distilled water (reagent is made
daily).

          c. Digestion procedure.  20- or 25-ml samples are mixed well,
rinsed 3x with ammonia-free DW and the sample plus  rinse water are added to
the digestion tube for each sample.  5 ml of digestion solution and 4-8
Teflon boiling stones are added to each tube, which is then mixed on a tube

-------
vortex mixer.  With the block digestor in the "manual" mode/ the low and
high temperatures are set at 160°C and preheated until temperature is
reached (verified with a thermometer in sample of digestion solution alone).
Tubes are placed in digestor and heated at 160°C for 1 hour.  After 1 hour
the "manual" mode is reset to 380°C and samples are heated for 2.5 hours
longer.  At the end of 2.5 hours the block digestor is shut off manually.

      Samples are cooled to room temperature at which time approximately 20-
ml of ammonia-free distilled water is added.  Samples are then placed in a
sonicator (Astrason, Ultrasonic Cleaner, Model 13-H) for one-half hour to
break up precipitate.  Each sample is mixed with a tube vortex mixer until
complete dissolution of all digestion residue and complete absence of layers
of solutions in the tubes.  Ammonia-free distilled water is then used to
dilute samples back to the 25 ml initial sample volume.

      During measurement of ammonia-N on the continuous-flow analyzer
(Scientific Instruments Corporation CFA 200) one set of reagents is used
during each sampling series.  The continuous-flow analyzer is fitted with a
Kjeldahl manifold (Scientific Instruments Corporation TKN Cartridge No. 116-
540-0), which is used without the dilution loop (Figure 1-3).  Reagent lines
are added to the manifold in the order: Working buffer, 4% sulfuric acid,
hypochlorite solution, and nitroprusside.  The system is allowed to
equilibrate after the addition of each reagent and prior to running samples.

         d. Standards and Blanks.  TKN determinations included the following
standards and blanks:

     o  Ammonium sulfate standards: 0.0, 15.0, 45.0, 75.0 umol N L  .

     o  Urea standards: 0.0, 10.7, 32.1, 42.8 umol N L"1.

     4. Experimental Comparisons.  We analyzed samples collected in the
tieJ-d and samples prepared in the laboratory to compare TPN and TKN recovery
efficiencies.  Since TKN analysis yields organic nitrogen and ammonium
nitrogen and TPN analysis also determines nitrate, nitrite and ammonium,
direct comparisons cannot be made.  Accordingly, we also performed nitrate
and nitrite determinations on all samples.  The value obtained by
subtracting nitrate and nitrite from TPN is then comparable with TKN.  Our
comparative studies included samples from: (1) The SONE program (August and
October, 1984; May, June, August, October, 1985); (2) An experiment in which
standards were added to samples of seawater diluted with distilled water to
different salinities; and (3) A wide range of N concentrations in the
outdoor large-scale continuous cultures at the Academy of Natural Science's
Benedict Estuar'ine Research Laboratory.
Results and Discussion

     i. General Observations

     TKN determination with the EPA-approved block digestor method proved to
be tedious and difficult.  We chose to use this block digestion method because
it is often used when large numbers of samples must be processed and because
this is the method used by EPA in the monitoring program.  We do not use this
procedure routinely in our laboratory, so much of our work was done at the
Central Regional EPA Laboratory in Annapolis, particularly until we were able

-------
u.
^

0
«

K
f
0
—
V-

O
>
oc
O
N









QC
•<
r«
n
o

' >

O
or
o

'•
it:

a
*
o

e
d
c
fl
a
0
• 2

ae
o
i
o
OB
O

Q

ae
O
w
oc
LJ
-J
Q.
Z
<
&



_l

>-
z
DC
O
(
' 5o
1 3-
£ 0<=
— P»


— UJ
Z -
VAJ
^—
<
>-
t.)
<
v>
C<
n
O
ac
— j
<->
0
a.
>-
•o
O
i
^

0
x
.^
a


_


Z
oc
o

UU
bo
<
£
O
~







i
>•
ce
O
5-
ee
O




t

i



                                 Z
                                 O
                                 o
                                 z
                                 <
                                 G
Figure 1 - 3.
fo' the sen iai
in Annapolis.
T.cfiifolcJ used in conjunciion wiin block digester
TKN procedure at E-A's Ceni^al cecicncl Lcboratory

-------
to gear up fully at CBL.  We encountered a great number of problems
particularly with the digestion phase.  The brand-new Technicon Block Digestor
we used failed to heat samples evenly and took a long time to reach
temperature.  Analysts at EPA have also reported similar difficulties with
their block digestor.  Once we had successfully determined block digester
preheating times and had calibrated the temperature regime achieved in each
individual position in the digestor, we encountered further problems.  The
principal problem was with the use of the Teflon boiling chips recommended in
the EPA procedure.  On samples containing appreciable salinity, at the latter
phases of the digestion procedure after most water had boiled off, the chips
floated and failed to prevent bumping and splattering.  Such problems are
discussed in greater detail below.

         a.  Block digestor temperature control.  Verification of exact
temperature settings and timing for the block digestor were made by filling
each heating cell with sand and measuring the temperature of the cells
during heating.  The temperatures of selected cells were further verified by
measuring the temperature of a sample of digestion solution during heating.

      Initially, the proper temperatures were attained and maintained by the
digestor according to the proper temperature schedule.  However, when the
control was set on "automatic" the control box sporadically turned the block
heater off during heating, as well as boiled some samples dry (loss of
boiling chips and sample, which we termed "melt down").  Melt downs did not
appear predictable, i.e. they did not occur in the same block hole nor did
they occur during every digestion run.  Samples were run on "manual" to
avoid the problems with the "automatic" setting.  The occasional sample loss
due to melt downs could not be prevented.  Due to these inconsistent
differences in temperature and melt downs between successive digestion runs,
standard curves based on ammonium sulfate and urea were constructed for each
set of samples digested.

         b. Standards.  The EPA Standard Operating Procedure for TKN
Determination recommends the following working standards of ammonium
sulfate: 0.2, 0.5, 1.0, 2.0, 3.0, 4.0, 5.0 mg N IT1.  A standard curve of
these concentrations is non-linear at the higher concentrations and requires
a dilution loop.  However, the concentration of total Kjeldahl nitrogen in
field samples is typically much lower than the lowest EPA standard (20 - 70
umol N/L) and the dilution loop, if used considerably reduces the analytical
precision of the TKN method.  Due to the previous problems the following
standard curve was used: 0.0, 15.0, 45.0, 75.0 umol N L'1 (0.0, 0.21, 0.63,
and 1.05 mg N I/"*) based on an ammonium sulfate primary standard.  Standard
curves were linear and field sample concentrations consistently fell within
this standard range.

      The EPA procedure presents the data of one accuracy test which showed
100% recovery of organic-N from ammonium standards spiked with N-nicotinic
acid.  Recovery of organic nitrogen depends upon the digestion history of
the sample, therefore each digestion run should include an accuracy test for
organic nitrogen recovery.  For this reason each TKN run contained a urea
standard curve of 0.0, 10.7, 31.2, 42.8 umol N L'1 (0.0, 0.15, 0.45, 0.6 mg
N L-1).

          c. Teflon boiling chips.  The EPA method recommends cooling
samples 15 minutes, then adding water to the digestion tube up to the
initial volume before digestion (25 ml).  The precision of estimation of

-------
ammonia-N is unavoidably affected because the boiling chips cannot be
removed from the samples before diluting to 25 ml.

          d. Dilution loops.  The standard Kjeldahl digestion manifold
(.Scientific Instruments, TKN Cart. 116-540-01) for ammonia-N determinations
dilutes each sample with distilled water in a dilution loop prior to the
introduction of reagents.  Output curves recovered from the manifold with
the digestion loop appeared noisy with standards and samples almost
indistinguishable from background noise.  Exclusion of the dilution loop
from the rest of the Kjeldahl manifold produced very distinct peaks for both
samples and standards (0.0 - 75.0 umol N L'1; 0.0 - 1.05 mg N L"1) which
were clearly above background noise.  See Figure 1-3 for a diagram of
revised Kjeldahl manifold.

     2. TPN and TKN Recovery Efficiencies vs Salinity

     Once we had obtained satisfactory performance with our Kjeldahl
procedure, we performed the following experiment to compare TPN and TKN
recoveries at different salinities and concentrations.  Low-nutrient,
continental shelf seawater and various dilutions thereof were spiked with
reference compounds (ammonium, urea, glutamic acid, and nitrate) at
concentrations ranging from 0 to 75 uM.  The original data are presented in
Appendix II, with correlation coefficients for the standard curves in Appendix
ill.  Precision of the total N determination by TKN and TPN taken from the
literature are compared by coefficients of variation in Appendix IV.  For
future work with reference compounds, more-difficult-to-oxidize compounds such
as caffeine should also be tested (Suzuki et al., 1985).


          a. TPN.  Figure 1-4 shows peak heights obtained by the TPN (x-
axis) procedure plotted against seawater dilution (y-axis) and spike
concentration (z-axis).  All peak height data are included for a given
percent seawater dilution and spike concentration, regardless of the
nitrogen compound used in the spike.  Curves are fitted by eye to the
concentration data for a given seawater dilution—in effect, representing a
standard curve for each dilution.  Precision is obviously good at all
seawater dilutions, and the "standard curves" appear linear.
     Figure 1-5A through 1-5D present the percentage recoveries of spiked
compounds relative to nitrate standard curves in distilled water for the
same data lumped together in the previous figure.  With the exception of
recoveries at the lowest spike concentrations which exceeded 100% (function
of ammonium contamination of the seawater used for the experiment that can
De corrected by subtracting a blank value determined for each salinity),
essentially 100% recovery occurred at all concentrations and dilutions.

     To determine the upper range of the persulfate method, recoveries of
glutamic acid and urea were also determined on 150-750 umole spikes in the
given seawater dilutions.  Essentially 100% recovery occurred at all
concentrations and dilutions.

          b. TKN.  Figure 1-6 shows peak heights obtained for TKN plotted as
a function of seawater dilution and spike concentration.  As with the TPN
determination, there was no obvious salinity effect for the TKN procedure—
all standard curves clearly had similar slopes and intercepts on the y axis.

-------
                                               CD
                                               O
    (O
    c_
    O>
    u
z  cr
Q_  o
    03
a_
    CLJ
   Q_

    C/3
                                        Ndi



Figure 1-4.  Three dimensional plot of TPN-detemined concentration  of

standards (umol N L'l) vs. percent seawater vs. expected concentration  of

spiked reference standards (umol N LT1).
                                  1-13

-------
o
o
   170*
                     Recovery  vs   Salinity
                              Ammonium by  IPS

I
                             30
                     75
                                umoI/L Add«d
       Figure l-5a.  Percent  recovery by TPN method vs. concentration of ammonium
       (umol N L  ) in different salinity water (a =• 0% seawater, b - 25 %
       seawater, c » 50 % seawater, d = 75 % seawater, e » 100% seawater).
                      Kecovery  vs  Salinity
                                Nlh-aU by TPN
   170*
     Figure l-5b.  Percent recovery by TPN method vs. concentration of nitrate
     (umol N L"1) in different salinity water  (a - 0% seawater, b = 25% seawater,
     c = 50 %  seawater,  d = 75 % seawater, e • 100 % seawater).
                                   1-14

-------
o
o
o
o
   17OS
                      Recovery  vs  Salinity
                             Glutamlc Acid by TPN
               25.2
                      75.5
                                 umol/L Add«d
     Figure l-5c.  Percent recovery by TPN method vs. concentration  of glutamic
     acid (umol N L,"1) in different salinity water (a - 0% seawater, b - 25%
     seawater,  c » 50 % seawater, d - 75% seawater,  e = 100% seawater).
                      Recovery   vs  Salinity
                                 Ur»a by T7»K
   170S
               76.8
53.6
                                 umol/L Add«
-------
                                                  o
                                                  o
      ro
      c.
      OJ
      u
   a- T3
   O C
      ro
   j_i
   o -u
   r-t C
   a. QJ
      u
      c_
      QJ
      a_

      in
Figure 1-6.  Three dimensional  plot  of  TKN-determined concentration of

standards (umol N L~l) vs.  percent seawater vs.  expected  concentration of

spiked reference standards  (umol  N L  ).

-------
However, precision clearly was not as good by TKN as it was for TPN,  and as
expected for the procedure, nitrate was not recovered.  The nitrate points
are connected by additional lines fitted to the data.

     Figures 1-7A through 1-7D presents the percentage recoveries of  the
individual spiked compounds relative to ammonium standard curves in
distilled water analyzed by the TKN method. Clearly the precision was less
than for the TPN analysis, but recoveries appeared complete at all
salinities and spike concentrations.  However, a small amount of nitrate
appeared to have been recovered in some samples—this is anomalous
because TKN should not reduce nitrate to ammonium, and is probably
explained by contamination.  Nonetheless, there is the interesting prospect
of some unexplained nitrate reduction occurring, which would be difficult
to explain chemically.

     .}. Comparison of TPN and TKN Determinations on Estuarine Water Samples

     Samples over a range of salinities were collected from August, 1984
through December, 1985 for comparison of results obtained using TPN and TKN
determinations.  These data were obtained from the "SONE" monitoring program
conducted for the State of Maryland and in large-scale continuous cultures
drawing water from the mesohaline region of the Patuxent River.

     The results of these comparisons were poor and the explanations for the
j.acK, ot comparability between TKN and TPN - nitrate + nitrite (comparable
values) is as yet unresolved, despite exhaustive checking and rechecking of
dii procedures and calculations.  We wish it were as simple as having
ignored that ammonium sulfate standard has two moles of N per formula
weight, but we did not make that error .  We also are aware that refractive
index problems can affect results (Froelich and Pilson, 1978) and that pH
adjustment of the acid digest is critical for proper color development
(.Keay, 1985).  Figure l-8a shows the comparison of data from digestions we
deemed "good" according to the criterion of low rates of bumping and
splattering.  Figure l-8b shows the comparison of data from all digestions
and determinations we performed.  While comparisons of samples containing
less than 30 uM Kjeldahl nitrogen seem close, there appears to be a
systematic difference between the two procedures.  The regression equation
best fitting this relationship is:  TPN - N023 = 21.79(+1.04) + TKN*0.153
V+U.021).  it is not clear from this study whether the discrepancy between the
iPN and TKN data in Figs. 1-8 and l-8b is "real" or due to a contamination
problem.

     4. Precision of TPN Determinations on Replicate Samples

     The CBL nutrient analytical services laboratory has been conducting TPN
analyses for the bay-wide EPA-sponsored monitoring program since May, 1985.
These analyses are conducted over a wide range of salinities and total
dissolved nitrogen concentrations and are subjected to a rigorous QA/QC
protocol, as dictated by EPA.  To illustrate the achievable precision of the
TPN determination on duplicate samples (each involving separate filtration,
aliquoting and storage), it seemed appropriate to present here the results
from the QA/QC program.  Figures 1-9A and 1-9B show the EPA QA/QC plots for
standard deviation of duplicates vs. mean concentration and for coefficient
of variation vs. mean concentration.  The mean coefficient of variation for
all samples is approximately 8%, an excellent value considered that it
represents more than analytical error alone.  Typical coefficients of

-------
   22OX
                     Recovery  vs  Salinity
                             Ammonium by TKN
o
o
13
O
   200?: -
   1BOX -
   16OX -
   14035 -
   120?:
   1OOX -


                             30
                                                        75
                                umol/L Add«d
 Figure l-7a.  Percent  recovery by TKN method vs.  concentration of ammonium
 (.umol N L  ) in different salinity water (a = 0%  seawater, b = 25% seawater,
 c - 50% seawater, d =•  75% seawater, e - 100% seawater).
                      Kecovery  vs  Salinity
                                Nttrctrs by TKM
   170X
o
o
e
>
150X -
140X -
130X -
120X -
11 OX -
100X -
 SOX -
 SOX -
 70X -
 60X -
 SOX -
 •cox -
 SOX -
 20X -
 10X -
  ox
               —r~
               23
                            	1—
                                 50
                             umol/L ^
—I—
 75
 Figure  l-7b.  Percent  recovery by TKN method vs. concentration of nitrate
 (umol N L   in different salinity water (a - 0% seawater, b = 25% seawater,
 c - 50% seawater,  d  =  75% seawater, e = 100% seawater).
                                 1-18

-------
    170*
                      Recovery  vs  Salinity
                             Clutamlc Acid by TKN
 o
 o
 3.
 B
 O
               25.2
50.4.
75.5
                                umol/L Added
 Figure l-7c.  Percent recovery by TKN method vs. concentration of glutamic
 acid (.umol N L  )  in different salinity water (a • 0% seawater, b = 25%
 seawater, c » 50%  seawater, d - 75% seawater, e = 100% seawater).
                      Kecovery  vs  Salinity
                                 Urea by TX>4
    170*
  o
  u
 3.
  o
  >
                                                          80.4.
Figure  l-7d.  Percent recovery by TKN method vs.  concentration of urea (umol
N L"1)  in different salinity water (a » 0% seawater, b = 25% seawater, c -
50% seawater, d -  75% seawater, e - 100% seawater).
                                 1-19

-------
r

r
 I
r
o
100




 90 -




 SO -




 70



 60




 50




 XO




 30




 20




 10
           TKN  vs.  TDN-(Nitrate

                              "Good" Xna(y»«»
                                               Nitrite)
                   20
                                     60
80
100
                                   TKN
 Figure  l-8a.  TDN - (nitrate -t- nitrite) vs.  TKN determinations of estuarine

 samples for analyses without bumping and splattering  ("good" data).


            TKN  vs.  TDN-(Nitrate   +  Nitrite)

                                  All Data
E
 Z
z
a
100








 BO




 70




 60



 50








 30




 20




 10 -
                   20
                                      I

                                     EO
 I

SO
           100
                                    TXN
   Figure  l-8b.  TUN - (nitrate + nitrite) vs. TKN determinations of estuarine

   samples for all analyses preformed.


                                  1-20

-------
   0.24
                     TPN   Field   Duplicates
                            May, 198.5-Jen, 1988
    0.22 -

     0.2 -

    0.1 B-

    0.16-

    0.14-


I   °'12H
•    0.1 -

    o.oa -

    0.06-

    0.04-

    0.02 -
              v
                         4  ;
            11   1   i    I   I   i   I
       O.3    0.5    0.7    0.9    1.1
                          U«cn of
                                      i   i   i   r   r
                                        1.3    1.5
 i   r   i    i
1.7    1.9    2.1
figure  l-9a.  Standard  deviation of duplicates vs. mean  concentration of
field duplicates for bay-wide EPA-sponsored monitoring program.
     40
                     TPN  Field  Duplicates
                             Wcy. 1985— Jan, 1B88
 c
 o
 o
 o

 "o

 I
o
o
o
     33 -
     30-
     23 -
     20 -
     13 -
      10 -
      3 -
                  r — r"  i - 1
                                                     T	r—i	r
        O.3    0.3    0.7    0.8     1.1    1.3    1.3    1.7     1.9    2.1
 Figure l-9b.  Coefficient of variation vs. mean concentration of field
 duplicates for bay-wide EPA-sponsored monitoring program.
                                   1-21

-------
variation for Kjeldahl analyses are given in Appendix IV.
     5. Advantages and disadvantages of the two methods.

     while this work has clearly not shown the equivalence of the two
analytical determinations, we believe that our analytical inexperience with
the TKN procedure and the poor semiautomated TKN protocol are responsible
for the lack of comparability.  We recommend that further comparisons be
made between TKN and TPN determinations.  In addition, we also recommend
that a laboratory that routinely runs TKN analysis, not with the block
digestor, split samples with us, so that we can do TPN determinations for
comparison.

     It is important to emphasize why it is worthwhile to pursue the
comparative work further.  TPN analysis offers a number of advantages over
Kjeldahl analysis that make it a highly desirable alternative to TKN. Such
advantages in cost, ease of use, and excellent precision (cf. Fig 1-9A and
1-9B) means that TPN determination deserves further comparison.

     Table l-II shows the analyst's time and steps involved in processing a
series of TKN samples.  Table l-III shows a comparison of the analyst's time
and steps involved in processing a series of TPN and TKN samples.

     Table l-III summarizes the advantages and disadvantages of the two
procedures.

     6.  Further Considerations

     Although there have been reports by Japanese workers that the alkaline
persulfate digestion technique substantially underestimates total nitrogen
in seawater compared to the oxidative pyrolysis technique, several points
should be made regarding comparability between the two methods.  First,
results have not been reproduced by others, probably due to the
unavailability of the Japanese instrument in other countries.  Secondly,
while the Japanese workers did not state the temperatures at which their
oxidation was carried out, the temperature used may have exceeded that
recommended for optimum digestion.  Goulden and Anthony (1978) and others
have cautioned that high temperatures will cause too rapid a breakdown in
the persulfate and poor oxidations.

     One criterion that Suzuki et al. (1985) used in criticism of the
persulfate technique was that it yielded poor recoveries of caffeine.
However, B. Nowicky and M. Pilson (pers. comm.—cf. Appendix I) have
obtained complete recovery of nitrogen in caffeine.

     The persulfate oxidation procedure could be optimized still further—
especially worth checking are (1) the heat of combustion and speed with
which the samples are brought up to temperature, and (2) the ability of the
procedure to oxidize complex rings.

-------
Table l-II. Comparison of analyst's time and steps required for the
and TKi^ methods.
Method  Day  Step and Activity                            Time Involved
                                                             (hours)
TPtt      1    1. Thaw 10U samples (1U ml in 30-rnl tubes)
              2. Make up standards and put in 30-ml tubes.     0.4
              3. Make up 2 L"oxidizing reagents.               0.1
              4. Add 15 ml oxidizing reagents to all
                 standards and samples.                        1.0
              5. Autoclave at 100 - 110 degrees C.    .         0.5
              6. Cool in autoclave.                            1.0
              7. Kemove fron autoclave and cool to room
                 temperature.                                  1.0
              8. Make up 0.3 N HC1 and borate buffer.          0.1
              9. Add 1.5 ml 0.3 N HC1 and vortex mix.          1.0
             10. Add 2.0 ml borate buffer and vortex mix.      1.0

         2    1. Set up continuous flow analyzer.              1.0
            •  2. Prepare and run nitrate standard curves.      0.5
              3. Run samples and standards.                    3.0
             ' 4. Shut down auto analyzer.                      0.5
              5. Read charts and calculate concentrations.     2.0
              6. Wash tubes and caps.                          1.5

                                                      Total   14.6

                                                "Time/Sample   9 min
                               1-23

-------
Table l-II, cont'd.
Met nod  Day  Step and Activity                            Time Involved
                                                             (hours)
TKN      1    i. Thaw 45 samples (2U-25 ml in 30-nil tubes)
                 and put in Kjeldalil digestion tubes.         0.4
              2. Prepare ammonium standards.                  U.I
              3. Put 25 ml samples and standards in
                 Kjeldahl digestion tubes.                    1.0
              4. Add 5 ml digestion solution to all
                 standards and samples.                       0.25
              •5. Add 2 boiling chips to each sample and
                 vortex mix.                                  0.25
              6. Digest standards and samples in clock
                 digestor at the following temperatures
                 and times:
                                     Temperature (degrees C)
                                                       90     0.25
                                                      120     0.5
                                                      150     0.5
                                                      180     0.5
                                                      200     0.5
                                                      230     0.5
                                                      360     2.5
              7. Let cool in digestor.                        .1.0
              8. Remove from digestor and cool to room
                 temperature.                                 2.0
              9. Dilute cooled samples and standards to
                 25 ml with distilled water and
                 vortex mix.                                  1.0

    1 or 2   10. If solid develops and persists'after
                 dilution to volurae, sonicate covered
                 samples to break up solid, then allow
                 samples to settle.                           2.0 to 3.0

         2    1. Set up continuous flow analyzer.             1.0
              2. Run digested ammonium standard curve.        0.5
              3. Run digested samples in duplicate.           2.0
              4. Shut down continuous flow analyzer           0.5
              5. Read charts and calculate concentrations.    2.0
              6. Wash tubes and caps.                         1.5

                                                    Total    20.75

                                                 Time/Sample 28 rain
                              1-24

-------
Table 1-1 I I.   Comparison of the TKN and  TPN methods for the  procedures we
used and assuming the availability  of  an  autoanalyzer colorimeter,  sampler,
pump and chart  recorder.
Characteristic or Feature
     TKN
                        TPN
Estimated Cost
Startup
Block Dlgestor
Pressure Cooker
Autoanalyzer manifold

$504
$3395
$1000

$250
$ 80
$430
          Total

     Per Sample Charge  In our
          Laboratory

Special Equipment
Ease of Use

Samples per Day

Precision (CV$)
       $18.00

Fume Hood
Block Dlgestor
AutoAnaIyzer
Kjeldahl  Tubes

Not easy

     20
                           $5.75

                    Pressure  Cooker

                    AutoAnaIyzer
                 .   Test tubes

                    Very Easy

                          50

                         ~3*
Comments
Seawater samples
are more difficult
— proper boiling
chips must be used
                    DON not precisely
                    determined In the
                    presence of high
                    nltrete concentrations

-------
Summary and Recommendations;

1. The persulfate total nitrogen procedure is easier to perform, yields
better routine precision, requires less expensive and sophisticated
digestion apparatus, and requires less analyst time per sample.  This
procedure deserves further  evaluation as a potential standard digestion
procedure for total dissolved nitrogen by EPA.

2. Both methods yielded expected and complete recoveries of laboratory-
spiked samples over a wide  salinity range.  However, results obtained
comparing natural estuarine samples appeared to yield a systematic
difference between the two  procedures that is as yet unresolved.

J. The block digestor for the TKN procedure does not perform well and proved
difficult to use, particularly in the hands of technicians inexperienced in
its use.  Differential heating of different locations on the digestor must
be accounted for.  The heating characteristics of the digestor seem to
depend on external factors  such as location in the hood, laboratory
temperature and warm-up time.  Such factors need to be accounted for if the
block digestor is to be used.

4. The residue remaining in the digestion tubes after block digestion of TKN
samples is very difficult to redissolve in high salinity samples.  Sonication
may be required as well as  long sitting times.  Contamination may occur during
such sitting times.  A better re-dissolution procedure should be developed for
high salinity samples.

3.  Additional comparisons  should be made between the two procedures using
split samples from the natural environment.  We recommend that a laboratory
not using the block digestor and achieving TKN results satisfactory to EPA
share samples with us so that we can perform additional TPN analyses.

b.  Organic N standards in  seawater should be used for standard curves.
Such standards should include difficult-to-oxidize nitrogen-containing
reference materials, e.g. nicotinic acid, caffeine.

-------
                                SECTION II

                    COMPARISON OF CHLOROPHYLL METHODS


General Description of Chlorophyll Rationale

     Many aquatic investigations utilize one or more estimates of
photoautotrophic plankton biomass, e.g. cell counts, total cell volume
estimates, protein determinations, dry weight, cell carbon, nitrogen,
phosphorus or silica and pigment analyses including chlorophyll a_
determinations.  The use of chlorophyll &_, especially fluorometric
determinations, has become widespread, possibly to the point of
indiscriminate use, because the method is relatively fast, simple and
reproducible.  The use of this biomass measure has been questioned
because it may vary by an order of magnitude relative to other biomass
measures, e.g. dry weight, cell volume or cell protein.  Eppley (1977)
reported 10-fold variation in cell carbon:chlorophyll a_ ratio of
phytoplankton.  The failure of the fluorometric method to provide any
information about population structure as well as the observed
interference problems from accessory pigments and phaeo-pigments are
largely overlooked.

     Any monitoring or other routine sampling program for chlorophyll
pigment must address certain criteria such as: (1) design of sampling
scheme, e.g. frequency, depths, replicates, etc., (2) technique of
sampling, e.g. by pump, bottle, rossette sampler, etc., (3) sample
treatment, e.g. filtration, including types of filters and filter holders
or the use of whole unfiltered water samples, (4) possible storage of
samples either before and/or after filtration or extraction,, (5)
extraction techniques including solvent composition, temperature and or
physical treatment (sonication or grinding) and duration of extraction,
(6) quantification method such as spectrophotometric, fluorometric or
spectrofluorometric determinations on the gross extract, and (7) how the
calculations are made after the raw data are gathered.

     Recently  a variety of solvent systems containing dimethyl sulfoxide
(DMSO) has been suggested for the extraction of chlorophyll type pigments
from freshwater phytoplankton (Shoaf and Lium, 1976; Stauffer et al.,
1979).  Burnison (1980) has described a method using pure DMSO at 65 C
followed by dilution with 90% acetone;  Speziale et al. (1984)
subsequently compared this method to N,N-Dimethylformamide (DMF) and 90%
acetone extractions on natural samples and cultured freshwater
phytoplankton.  Both DMF and DMSO were better extractants  than 90%
acetone, with DMF being very slightly better with chlorococcalean
species.  No work has been published concerning the use of DMSO:acetone
solvent systems with marine plankton species, although Seely et al.
(1972) reported using DMSO as part of a serial extraction method for
brown algae and a modified method is suggested for marine macrophytes
generally (Duncan and Harrison, 1982).  Although there is  reason to
predict that DMSO:acetone solvents are more effective  in  extracting
marine samples than present acetone methods,  the method should be
evaluated before it is utilized extensively.  We have  recommended a  DMSO
technique as  the procedure of choice for  the  EPA-Chesapeake  Bay
Monitoring  program because it is  easy,  requires a minimum of handling,
                                  II-1

-------
storage as a separate step isn't required, and it gives results identical
to the 90% acetone extraction with grinding for an uncorrected (for
phaeo-pigments) chlorophyll £ value by fluorometry.

     The original scope of this work was to further investigate
extraction techniques for chlorophyll _a; it was expanded to include some
aspects of sample storage (freezing) and a comparison of
spectrophotometric and fluorometric determinations in order to assist the
interpretation of the data.

Background and Literature Review

1. Calculations:

     Methods manuals (e.g. APHA, 1985; ASTM, 1979; Parsons et al., 1984)
appear to be in consensus that the accepted methods for spectrophoto-
metric determination of chlorophylls involves the use of the trichromatic
equations of Jeffrey and Humphrey (1975).  The spectrophotometric
determination of phaeo-pigments utilizes readings taken at 665 or 664 nm
before and after acidification and the formulae of Lorenzen (1972) for
the calculations.  The formulae for a 1 cm cell are as follows:

Jeffrey and Humphrey (jug chl/ml extract for 1 cm cell)
     Chlorophyll £ = 11.85 E(at 664nm)-l .54E(at647nm)-0.08E(at 630nm)
     Chlorophyll _b = 21.03 E(at 647nm)-5.43E(at664nm)-2.66E(at 630nm)
     Chlorophyll c_= 24.52 E(at 630nm)-1.67E(at664nm)-0.08E(at 760nm)
where E is the absorbance at different wavelengths corrected by a blank
reading at 750 nm.  Chi per unit seawater is then calculated by:
     Chlorophyllyug/l = (Chi x v)/V
where v is the extract volume in ml and V is the sample volume in liters

Lorenzen  (for 1 cm cell)
     Chlorophyll a. (jug/1) = [26.7(665b-665a)v]/V
     Phaeo-pigments (jug/1)    = [26.7(1.7(665a)-665b)v]V
where 665a and b are after and before acidification respectively and V
and v are as above.  The b reading is listed at 664 in APHA (1985) and
ASTM (1979), while the original articles  (Lorenzen, 1967) and Parsons
et al., 1984)  cite 665nm for both the b  and a readings.  In this
presentation we use the above equations although Speziale et al. (1984)
indicates that the Lorenzen equations cause underestimations by about 6%,
i.e. the  26.7 of the above equations  should be replaced by 28.4.

     The  above equations are often utilized directly  from manuals
without consulting the original volumes.  Thus, one may not realize
that Jeffrey and Humphrey published four  sets of equations, for differing
kinds of  populations:  1) Chi a^ and ^ for higher plants and chlorophyta,
2) Chi ji  and cl, c2 for diatoms, chrysomonads and brown algae, 3) Chi a_
and c2 for dinoflagellates and cryptomonads, and 4) the above equations
for mixed populations of phytoplankton.   Chi ji was well recovered by all
equations (98-102%).  The specific equations for a +  b and a + c gave
similarly good values for all the pigments, however the mixed plankton
equation  gave good results for b and  c only when these pigments were
abundant  relative to chl £, i.e., a:b or  a:c ratios of less than 4:1.
                                  II-2

-------
2. Interference by phaeo-pigments and accessory chlorophylls:

      The use of all of these equations assumes that the solution
analyzed is a mixture of pure pigments and contains no decomposition
products.  The colored phaeo-pigments, Table II-l,  in contrast to the
colorless ones, show up in these data as chlorophyll a.  Prior to 1978,

Table II-l. Chlorophyll breakdown products (phaeo-pigments)

Phaeophytin a
Chlorophyllide a
Phaeophorbide a
Absorption
peak
667nm
664nm
667nm
Absorption
coefficient
51.2
127
74.2
Reference
Score
Score
Score
phaeophytin a^ was thought to be found only in traces in natural marine
samples; this was subsequently found not to be true.  Pheaophytin 
-------
 01  01

 LJ -^


-0  »
 a -M


    &IA

   —
*;  ai  ^.
 a     ai

 S--S "£
 a •£> -a

 " in u

 >  « r
 a  g ->-•

.£ «•• •
    _  a
 0  *

 a     a.
j= "5  a

 g- S  J


tj  £  *



 *!*
-0^0


 **  •  **
 U  ^  B



•£ ^  S


 £  "  I


J T  g
hJ>. *^



•S  g2

   S**4  * *
   —«



 n  w  ai

 S" -3  E


"  fe  fc  «
   *J  >*. -M
 . —•  k.  B
CM —«  01  0»
 I      -u  •

« js  -5 •«
   -»j      a.
 ai     in  o

3  a  o  •«
 •o  k.  j= js
i— •*•  at  a.
                  >*• c=
                  g
                 I
                               Sirt in
                               CM   .
                            ra   . O
                                                              I    I   I   I   I   I
                            OP«.J»—<[gro«p».
                                                       ip -o  o CM r>  _.
                                                                        — . — «  CM
                                            —*r—.•^•.OP^^C/.^CM^O*

                                            *»—^*^*^—^—*o^o^^
                               O'O  — <=>O<=0>OG>
                                II          1       III
                                I      I      I   I





                              '    CM  "^ in **    °*







                                         CM        -O
                                                              I   I   I   I   I   I
                                                              I   1   I    I   I   I
                                                   CM

                                                                 ^ ro  irj ^
                                                              i   •   -   •   •  i

                                                                 2 R  - -
                                                                  1   1   1   1
                                                           i    i   i   i   i   i    i
                                  i     S
                                                   r~  K)
in



o
                                                   aa  BO
                               -^CNiroirt-or-^aoff-^-^txro^irt
                                                                                                o*  ai
                                                                                                **••  A


                                                                                                s -a
                               SOI ^j  M
                        mi  0;  k.  u  *.
                    .„     -O  k.  01  C
                    ^j  Ol •*«  O  k.  Ol
                     <•  -o —  y  k.  •

                    .ii  2  *• §  S  -2"


                    ^  5 "I- «•  ••' g


                     S  O' o  !!B !S  J=
                    -a  at —«  cj «j  a.

                     ""  a.  u  u   ii  u

-------
3. Storage, Freezing:

     The effect of storage conditions on chlorophyll determinations are
not well documented in the literature.  Most methods use magnesium
carbonate on the filters to prevent acid conditions from causing
chlorophyll degradation.  The recommended DMSO method uses 0.1% by volume
of diethylamine to maintain alkaline conditions.  Jeffrey and Hallegraeff
(1980) froze filters in liquid nitrogen and then held them at -20C until
extraction.  This method resulted in a 5-10% loss of chlorophyll a_ in 6
weeks of storage with a gain of 2-3% phaeophytin, presumably the major
breakdown product was colorless.

     Some publications suggest that stored extracts or extracting tissue
show less degradation of chlorophyll than do plankton samples stored on
frozen filters.  For example, Wood (1985) reported 11-21% loss of
chlorophyll from samples stored dry when compared to those stored in
extracting solvent for 9 days.  Similarly Moran and Porath (1980),
reported no loss of chlorophyll in N,N-Dimethylfonnamide with dark
storage at 4C.  Inskeep and Bloom (1985), however, reported no difference
between stored soybean leaf disks with and without solvent.  Logic
suggests that extracting solvents such as DMSO may denature enzymes
which denature chlorophyll and that, consequently, combinations of tissue
and extracting solvent may remain stable for chlorophyll concentration
even at room temperature.
Methods:

1. EPA Chesapeake Bay Study, July 1980

     a.)  Sampling.  Samples for the extraction method comparison, between
DMSO and  90% acetone with grinding, were taken from a field study in the
York River (USA) (37'15'40" N. Lat, 76'23'28" W. Long) and from 4
stations  on a transect across Chesapeake Bay along Long 37' 20', July 8-
16, 1980.   These field samples consisted of the surface samples (1m
depth) processed by standard fluorescence methods (Yentsch and Menzel,
1963) with freezing for less than a week, in triplicate (and were a
subset of a larger sample set) and additional samples in duplicate from
the 1 m water samples for extraction with dimethylsulfoxide (DMSO):
acetonetwater (9:9:2) with 0.1% by volume of diethylamine (DEA); insofar
as possible the samples were taken twice a day at the five stations for
9 consecutive days.  Whatman GF/F filters were used because they retain
more chlorophyll than a number of other filters tested.

     b.)  DMSO extraction technique.  A measured volume of sample
sufficient to produce visible color on the filter disc was filtered
through a Whatman GF/F 2.5 cm filter.  For estuarine water 5-10 ml is
usually sufficient.  The filter was folded with the sample side inward
and placed in a 16x100 mm glass culture tube which had been coated (see
below) to exclude as much light as possible.  The tube contained a 10 ml
aliquot of DMSO and a minimum of air space.  The tube was closed with a
teflon lined screw cap and the filter was extracted for at least 2 hours
at ambient temperature.  Filters were always manipulated with forceps.
It was not necessary to filter or centrifuge the sample before measuring
fluorescence.
                                   II-5

-------
     c.) Tube coating technique.  To exclude light from the culture tubes
during extraction, the tubes were dipped twice in a mixture of lampblack
and plastic "tool grip compound" obtained from Brooks tone Company,
Peterborough, NH.  About 70 cc of lampblack was added to each 16 oz. can
of red compound and mixed thoroughly.  Approximately three dozen tubes
were coated from each can.

     d.) Fluorometry.  Fluorescence measurements were taken with G.K.
Turner Associates Model 111.  Purified chlorophyll a_, (Sigma Chemical
Company, product no. C-5753, lot number 39C-9690) was used for
calibration.  Concentrations were verified spectrophotometrically using
the equations of Jeffrey and Humphrey (1975).  Spectrophotometric
measurements were taken with a Bausch and Lomb Spectronic 710.  The Sigma
standard was dissolved in 100% acetone and then diluted so that final
concentrations of solvents matched those of the extraction systems.

     e.) Storage. To test the effect of storage on extracted material,
a second repetition of some of the DMSO samples were extracted in the
original sample tubes at room temperature for varying periods up to 32
days after the first repetition was read.

     f.) Calculations.  The pigment concentration (jig 1-1) values were
calculated as follows: (1) uncorrected (for phaeophytin a) chl a_
equivalents directly from before acidification fluorescence values
(Strickland and Parsons, 1972, page 201) and (2) corrected  chl a_ and
phaeophytin from the before and after acidification values (Yentsch and
Menzel, 1963).  Because sample variance was significantly correlated with
sample mean, a log transform was performed before analysis (Snedecor and
Cochran, 1967, page 329).  All statistical analyses were performed using
Statistical Analysis System GLM, CORR, SUMMARY,and MEANS procedures (SAS,
1979).

     The comparisons were made on paired sets (i.e. data from two methods
on the same water sample) in duplicate, the duplicate values for the
standard method'were produced arbitrarily by choosing the first two
values in the data set from the existing triplicate values.  The second
of the DMSO duplicates was analyzed in a time series fashion, i. e. 0, 1,
2, 10, 16 or 32 days after its pair, in order to allow testing for
extraction time/storage time effects.

2. State of Maryland Chesapeake Bay Monitoring

     Approximately 80 samples were collected for chlorophyll analysis on
each of five cruises (August and October 1984 and May, June and August
1985) for a total 388 individual samples.  At each station samples were
taken from two depths, surface and bottom, in quadruplicate.  Sample
volume varied from 50 to 1000 ml depending upon the apparent chlorophyll
in the sample.  Samples were filtered onto 47 mm Whatman GF/F filters
and frozen for the duration of each cruise, 1-5 days.  Two of each set
of replicates were analyzed by the CBL laboratory following the DMSO
extraction technique described above but starting with frozen samples.

     The two remaining replicates from each station were kept frozen and
transported to the Virginia Institute of Marine Science (VIMS) for
analysis by the method (Strickland and Parsons, 1968) of grinding in 90%
                                  II-6

-------
acetone, allowing to stand overnight in the refrigerator, centrifuging
and reading on either a Turner Model ill or Turner Designs fluorometer.
Most extracts were sufficiently concentrated to be analyzed by
spectrophotometry; such was done using a 1-cm cell in a Gary Model 15
spectrophotometer.  Spectrophotometric readings were taken at 750, 665,
664, 647, 630 nm and at 665 nm after acidification.  The trichromatic
equations of Jeffrey and Humphrey (1975) were used to calculate
chlorophylls a^ _b, and c_.  The assumption is made that no phaeo-pigments
are present when these equations are used.  Chlorophyll a_ and
phaeo-pigments were also calculated with the 750 nm and the 665 nm before
and after acidification readings by the equations of Lorenzen (1967).
Chlorophyll b^ interferes with this evaluation.

3. Virginia EPA Chesapeake Bay Monitoring

     We accompanied the VIMS Bay monitoring cruises on 8 consecutive
cruises from mid-April through mid-August 1985.  Sampling procedure in
this Virginia counterpart to the Maryland monitoring program was as
follows.  A large volume sample (200 to 800 ml) was collected, filtered
onto a GF/F 2.5 cm filter on  board  the  vessel with the addition of a
few drops  of  a  magnesium carbonate suspension.  The filter was held on
water ice until returning to the lab when it was frozen.  In one case
(May 6, 1985), ice was not available and the samples were held in a dark
insulated, box until returning to the lab.  At a later date the samples
were processed and data calculated as described above (Methods Heading 2)
for Spectrophotometric samples (i.e. by the method (Strickland and
Parsons, 1968) of grinding in 90% acetone, allowing to stand overnight in
the refrigerator, centrifuging and reading), with the exception that the
Lorenzen equation used a 664nm before acidification reading rather than
the 665.

     For fluorometric readings, samples of either 5 or 10 ml were taken
in duplicate and processed as described above (Methods Heading 1) with
8 ml of the DMSO solvent on the vessel and read 3-7 days after the
cruise.  Calculations were made without a correction for phaeo-pigments
although after acidification readings were taken for possible future use.

4. VIMS York River Plankton Monitoring

     This monitoring program followed plankton-related parameters from
the Coast Guard Pier near the mouth of the York River for the
winter/spring bloom period and during the summer.  Samples were collected
three times a week at high slack water.  A surface sample was constructed
from equal parts of water from 1, 3, and 5 meters collected by bottle and
a bottom sample was collected by means of a pump.  Water samples from
this study were placed in a cooler and returned to the laboratory within
30 minutes for processing.  Chlorophyll samples were taken for this  study
from the surface sample, July through September, 1985.  Fluorometric
samples were taken in 5 ml duplicate samples on 25 mm GF/F filters,
extracted with DMSO and read 5-7 days later.  Samples for Spectrophoto-
metric readings were in duplicate, 800 ml or less  in volume,  filtered
onto 47 mm GF/F filters with several drops of a saturated magnesium
carbonate suspension, and immediately ground with  90% acetone, held  until
the next day in refrigeration, centrifuged and read.  One or  two
additional duplicate sets of samples were taken for Spectrophotometric
                                  II-7

-------
analysis.  One set was frozen for two weeks and one remained frozen for
4 to 8 weeks before analysis; the freezer temperature was -12 C.
Results

1.  Comparison of solvents (DMSO and 90% acetone) for extraction by
    fluorometry.

     In the 1980 Chesapeake Bay data set, the DMSO extraction method
produced chl .a values under those test conditions which were equally as
good as those from the 90% acetone extraction with grinding.  Using a
total of 136 pairs of observations, the two extraction methods produced
values which were statistically indistinguishable (Table II-3, lines 1
and 3), although there is less variation in the values uncorrected for
phaeophytin.

Table II-3. Comparison of two methods of extracting and calculating chl
a_ values.  Values are (In DMSO - In 90% acetone).

    Samples                  Mean Difference      t      PROB>|t|     N
                           Between Extractions

1980 Chesapeake Bay Study

1.  Corrected chl a.            -0.05096        -1.05      0.2985      68

2.  Phaeophytin                 0.32321         4.88      0.0001      68

3.  Uncorrected chl a.          -0.002579   .    -0.07      0.9450      68

4.  Uncorrected vs              0.0853          2.09      0.041       68
    corrected chl a_
                          •
1984-85 Maryland Chesapeake Bay Monitoring.

5.  Uncorrected chl a           0.3208         11.4       0.00.01      95
     Calculated phaeophytin values from the two solvents are highly
significantly different with the DMSO method producing higher values
(Table II-3, line 2). Uncorrected DMSO chl a_ values are significantly
higher than the corrected 90% acetone values (line 4). Thus DMSO seems to
extract chlorophyll J> (chl t>) more completely from these samples, i.e. an
increase in the chl _b interference would reduce the corrected chl ^
values and increase the calculated phaeophytin.

     The comparison of the DMSO with the 90% acetone  extraction methods
during the 1984-85 Maryland Chesapeake Bay Monitoring (Table II-3, line
5 and Figure II-l) proved to be highly significantly  different with the
DMSO values being approximately 145% of the 90% acetone values.  The
reason for this significant difference proved to be related to storage
conditions rather than analytical techniques.  This can be best
illustrated by October 1984 samples where approximately half the samples
                                  II-8

-------
       DMSO VS ACETONE  - FLUOROMETER
0
(fl
I
0

J
\
0
D

J
I
0
                         MARYLAND MONITORING
                          CHL UG/L ACETONE
Figure II-l.  Maryland EPA Monitoring Program Samples:  CBL-DMSO extract
measured by fluorometer compared to samples frozen and  analyzed later at

VIMS by grinding in acetone for extraction and fluorometer determination.

Both data sets are calculated without phaeo-pigment corrections.
                         II-9

-------
          DMSO  VS  GRINDING  -  FLUOROMETER
        24
                                OCT 1964
       22 -

       20-

       18 -

       1« -

       14-

       12 -

       10 -

        8 -

        6 -

        4-

        2 -

        0
                                   12
                                           16
2O
                                                           24
                       CHL UGA GRINDING FUJOROMETER
               Y-0 .923X- 0.311          Hi-  Y-1.34X- 0.113
Figure II-2.  October, 1984,  Maryland  samples  frozen  for  two different
times.  Grinding fluorometric analysis  using  Turner  Model  111  ( O )
frozen 5 months, ( • ) using Turner  Designs,  frozen 11.5  months.
                  *•'•?.'':'-'
                             11-10

-------
were stored for 5 months whereas the other half were stored for 11.5
months (Figure II-2).  The amount of measured chlorophyll clearly
declined with time.

2. Comparison of fluorometry with spectrophotometry.

2a. 90% Acetone with grinding.

     Many of the  Maryland Chesapeake Bay Monitoring samples were large
enough to produce 90% acetone extracts which could be read on the
spectrophotometer.  Figure II-3  shows the relationship between the
fluorometric and spectrophotometric determinations on the same extracts
(90% acetone with grinding).  Since the fluorometer was calibrated with
known chl a_ measured on the same spectrophotometer, one would expect to
see data like that of a calibration curve where the two values are
essentially identical.  For these samples, which were stored for several
months and undoubtedly contained chlorophyll breakdown products, the •
fluorometric values averaged about 85% of the spectrophotometric value.
The two determinations are significantly different (Table II-4, line 1).
The fluorometric samples which are above about 15 jug 1   chl a_ on the
spectrophotometer seem to deviate more than those with < 15 jug.  These
results may be dependent upon the breakdown products resulting from
storage but are unexplained at the time of this writing.


2b. DMSO/fluorometry compared to acetone/spectrophotometry

     Data from the  Virginia EPA Chesapeake Bay Monitoring are shown in
Fig II-4.  The majority of these data show DMSO fluorometer values about
10% greater than those for the 90% acetone/spectrophotometric values and
are significantly different (Table II-4, line 2).  The acetone/spec-
trophotometer samples were stored frozen for one to 3.5 weeks before
analysis whereas the DMSO/fluorometer samples were extracted on board the
research vessel and analyzed a few days later.  Loss during storage to a
colorless breakdown product or a colored product wiT:h a lower absorbance
could produce the greater fluorometer values.

     The VIMS York River Plankton Monitoring provided the opportunity to
carry out a similar comparison with all processing carried out by the
same laboratory personnel.  Figure II-5a compares these data from the
DMSO fluorometer procedure with that of the 90% acetone grinding
spectrophotometer, all analyses carried out on fresh samples without a
storage period. The fluorometer values were significantly higher (Table
II-4, line 3) and appeared to be offset by a constant value rather than a
percentage of the spectrophotometric value.  Subtracting a value of
1.643 from the fluorometric values (line in Fig. II-5a) produced data
which were not significantly different (Table II-4, line 4).  Without
data between 0 and 5 iig 1   it is impossible to tell if in fact a zero
spectrophotometer reading could give a fluorometer reading of 1.6 jug 1  .
                                  11-11

-------
(T
y
u
5
0
d
0
3
J
L
y
z
0
0
<
J
\
0
D
J
I
0
       ACETONE  -  FLUOROMETER  VS  SPEC.
                         MARYUND MONITORING
     45
     40-
35-
30
25-
15-
10-
      5-
                   to
                         i
                         20
30
40
                  CHL UG/L ACETONE SPECTROPHOTOMETER
Figure I1-3.  Maryland EPA Monitoring Prograa Samples:  samples frozen and
analyzed later at VIMS by grinding in acetone for extraction and analyzed
by fluorometer and spectrophotometer determination.  Both data sets are
calculated without phaeopigment corrections.  The spectrophotometric data
are calculated with the trichromatic equations of Jeffrey and Humphrey
(1975) for chl £, Jb, and c_.
                          11-12

-------
        DMSO  FLUOR  vs ACETONE SPEC
y

t
2
0
£
0
D

L

0
W
IT
y
h
j
\
0
D
I
0
24


22


20-


18


16


14-
10-


 8-


 6-


 4-


 2-
                          VIRdNIA MONITORING
                0
                        a a  a

                 a o  o QoD°
o  o
    a a
    OG
        0    2   ..,-4i    6    8    10    12    14    16    18
             *      ~ '*


                  CHL UG/L ACETONE SPECTROPHOTOMETER

                             —  Y=X

  Figure I1-4). Virginia EPA Chesapeake  Bay Monitoring samples comparing
  freshly extracted by  DMSO fluorometrlc determinations (means of pairs),
  with single 90Z acteone extracts with  grinding after freezing.  The 90Z
  acetone extracts were read on the spectrophotometer and calculated by the
  Jeffrey and Humphrey  (1975)  equations  for chl &_t _b, and jc.
                           11-13

-------
       o
           33
              YORK  RIVER  CHL. A, JULY-SEPT 85
                        OMSO-FIUOR. VS ACETONE-SPEC (FRESH)
           3O -
           25-
           20 -
           15-
           1O-
            a -
                            10
20
30
                          UC CHL A PER LITER - SPEC-FRESH
                               	 Y-X+1.643
       v>
       u
           35
              YORK  RIVER  CHL.  A, JULY-SEPT 85
                        SPECTROPHOTOMETRIC FROZEN VS FRESH
           30-
           23 -
           20-
           13-
           10-
                          10          20           3O
                          UC CHL A PER LITER - SPEC-FRESH
                     40
Figure II-5.  The spectrophotometric data are calculated with the  trichromatic
equations of  Jeffrey and Humphrey  (1975) for chl £, b^, and c. VIMS  Coast
Guard Pier samples,  July-Sept  1985.
      A) Comparison of DMSO fluorometer, with 90% acetone with grinding
spectrophotometric data on fresh samples.
      B) Effect of freezing; (	) fresh samples, ( d 	 ) frozen 2
weeks Y-0.789X+1.59, ( O 	) frozen 4-6 weeks Y-0.699X+1.54
                                11-14

-------
Table II-4. Comparison of fluorometry with spectrophotometry for
determining chl a_ values.  Values are (In Fluorometer - In
spectrophotometer).
    Samples
Mean Difference
Between Methods
PROB>
 N
1984-85 Maryland Chesapeake
 Bay Monitoring.

1.  Uncorrected chl a_      -1.116

1985 Virginia Chesapeake
 Bay Monitoring.

2.  Uncorrected chl a_       0.4734

1985 Virginia York River
 Plankton Monitoring.

3.  Uncorrected chl <±       0.177

4. (Fluorometer -1.643)     0.000017
                  -5.11
                   15.8
0.0001
95
0.0001     177
                    4.42      0.0001      31

                    0.0004    0.99        31
3. Storage effects.

     Early in the study we observed a difference between values
determined at CBL and those at VIMS.  This persisted after complete
renovation and recalibration of equipment.  During one trip between the
laboratories we made 12 replicates of DMSO plankton sample extracts,  i.e.
the same water sample was divided and filtered onto 12 filters which  were
placed in the DMSO tubes for extraction.  Six of the tubes were
transferred to CBL and, the samples at VIMS and CBL were read the same
afternoon.  The VIMS results were 3% higher numerically but not
significantly different from the CBL values (VIMS = 7.53, S.D. 0.52;  CBL
= 7.30, S.D. 0.36; d.f. 10, t 0.819).  As a result of this experience
we designed a simple  frozen storage experiment (see methods).  Results
are presented in Fig. II-5b.  These data indicate a loss of chlorophyll
of about 20% during the first 2 weeks and an additional 10% loss in the
next 2-4 weeks.  This loss could indicate either a partial conversion to
a colorless breakdown product or a combination with almost a complete
conversion to a colored form which should have an absorption coefficient
about 85% of that of chl £.

4. Presence of chlorophyll _b and c_

     The spectrophotometric data allow chlorophylls _b and £ to be
calculated as well as a^ using the Jeffrey and Humphrey (1975) equations.
This was done for all the extracts with a chlorophyll concentration 0.2
jug/ml or above for the Virginia Chesapeake Bay monitoring program.  Below
the concentration of 0.2 jug/ml extract values are unreliable (Lorenzen &
                                  11-15

-------
Jeffrey, 1980).  These values are plotted as ^:_b and a_:_£ ratios (Figure
II-6).  Samples with low a:b ratios should have populations dominated by
Chlorophyceae (green algae), and samples with low a:c ratios should have
populations dominated by diatoms or dinoflagellates (see Table II-5).
There are no cell counts for these samples to verify these observations;
however, such analyses were attempted with the VIMS Coast Guard samples.
This attempt proved unsuccessful, presumably because the taxonomic
divisions of the counts were not detailed enough, i.e. categories were
too inclusive.

5. Precision of DMSO method.

     The results from the 1980 Chesapeake Bay study indicate no signi-
ficant change in the determined values (P=0.99), nor in coefficient of
variation associated with the interval of storage (P=0.55).  Presumably
if either additional materials were extracted with time or the extracted
pigment decomposed to colorless products during the storage period the
data would be more variable with longer storage/extraction time.  Thus if
chl a_ is breaking down to phaeophytin £ or to other colored decomposition
products, this method registers the product as chl a_.  It is therefore
practical to place the filters in the extraction tubes in the field and
read them in the lab at a later date.
Discussion

     The July 1980 EPA Chesapeake Bay study showed  to our satisfaction
that DMSO:acetone:water (9:9:2) was a satisfactory  solvent when compared
to 90% acetone with grinding.  The comparison was made with fluorometric
determinations uncorrected for phaeo-pigments.  The main advantages of
this method were ease of sampling handling and  storage (no grinding,
refrigeration, dilution).  The samples are filtered, the filter placed in
solvent to extract, and the extract is decanted into the fluorometer  tube
for the reading.  The extracting sample can be  stored at room temperature
for several weeks without affecting the results.  This approach gives one
a value which amounts to chl a_ plus phaeo-pigments  (including any which
were produced during storage), and may not be appropriate if phaeo-
pigment values are desired, however, it may be  a perfectly adequate index
of phytoplankton biomass, i.e. living plus recently dead (or eaten)
phytoplankton.

     It is apparent from a literature review that accessory pigments,
especially chlorophyll _b, interfere with both the fluorometric and the
spectrophotometric determination of phaeo-pigments  and, conversely, the
presence of phaeo-pigments may interfere with the determinations of the
chlorophylls, especially chl a^  Chlorophyll b^has  been shown to occur in
Virginia Bay Monitoring samples.  Thus if either of these techniques  is
used to measure pigments, compromises will have to  be made.  It is thus
apparent that if one really needs to know the amount of chlorophyll _a or
other pigments present, it (they) will have to  be separated from
interfering substances prior to their determination.  It is feasible  to
do this with chromatographic procedures.  Several investigators have
reported using thin layer chromatography (e.g.  Garside and Riley,  1969;
Jeffrey, 1975).  High Performance Liquid Chromatography (HPLC) is  a
                                  11-16

-------
                      VIMS BAY  MONITORING
                         CHI A:B AND A:C APR1L-AUC 1985





5!

7
1
S
2
»








15-
14-
13-
12-
11 -
10-

0-
e-
7 -


8-
4-
3-
2-
1 -

C


a


a
a
a a


a a
°a °
_ a
° Q°° o ° ° a

0 am^f ° ° 0 ° °0
o m. o a ° oaa
o^i ° a

> 2 4 6 8 10 12 14 11
                               CHOOKOPMYU. A.-S
Figure II-6. The spectrophotometric data were calculated with the
trichromatic equations of Jeffrey and Humphrey (1975)  for chl £,  Jb,  and
£  and the values below 0.2ug/ml extract were deleted.   The remaining
values are plotted as a:b and a:c ratios.
                                11-17

-------
       nj
       s
-w    <->
e
in    -c:
s    8-
      o
                        01
                        m
                        01
 m
 m
r—4
CJ
                        15 s
                        i—» O
                                           01  *•
                                           m  "•
                                           •i  o>
                                           >- — <
                                           k.  a
                                          j= as
 01  «     k.  B
 i  §    j:  a

-§.8     So,
 o «•    .a  i
*j  a.     o  ai
 O.  >-     C  3
                                                                                 s
                                                                      s-
       &OI  Ol
       u  nj
fe    i-r
S     8-*
a    -g -g
                                    11-18

-------
better choice in that it can be automated to a large degree.   Numerous
investigators have published using HPLC for chlorophyll determinations
(e.g. Abaychi and Riley, 1979;  Brown, et al., 1981; Gieskes and Kraay,
1983; Goeyens, L. et al., 1982; Knight and Mantoura, 1985;  Mantoura and
Llewellyn, 1983; Pearl et al.,  1983;  Shioi et al.,  1983).

     In summary, it appears that the fluorometric and spectrophotometric
methods for chlorophyll ^ estimations in general use have a fairly low
accuracy (optimistically perhaps within 30%) due to interference and
storage problems.  A logical approach to chlorophyll £ estimation is to
use a fast simple extraction, such as the proposed DMSO approach which
involves a minimum of handling, possible storage at room temperature
and, thus, should improve precision no matter how the extract is
analyzed.  The method of choice for extract analysis clearly is the use
of a chromatographic method to separate the pigments so that they can be
measured with less interference and greater accuracy.  If this technique
isn't available, the individual investigator can use any or all of
several fluorometric and spectrophotometric methods to estimate the
chlorophyll pigments, including bulk breakdown products, at a sacrifice
in accuracy.
Comments on Interim Guidance on Quality Assurance/Quality Control (QA/QC)
for The Estuarine Field and Laboratory Methods.

     The "Interim Guidance on Quality Assurance/Quality Control (QA/QC)
for The Estuarine Field and Laboratory Methods" (USEPA, 1985) provides a
standard operating procedure (SOP) for chlorophyll which essentially
paraphrases Strickland and Parsons (1972) for sample collection, and
processing and storage; it further recommends the fluorometric
method detailed in Strickland and Parsons (1972, Section IV.3.IV) based
on 90% acetone extractions, the implied use of the Turner Model 111
fluorometer and calibration by pigment extracts from a combination of
algal cultures.

Storage time: Strickland and Parsons (1972) suggest that filters with
chlorophyll samples may be stored "in the dark in a desiccator frozen to
-20 C but only for a few weeks.  This procedure almost always leads to
low results and makes the extraction of chlorophyll more difficult;
filters should be extracted without delay if at all possible."  Our
results agree with the loss of chlorophyll with weeks, e.g. 20% within 2
weeks.  Our proposed solvent extraction technique using DMSO is easily
started immediately after filtering the sample in the field; we
recommend it over the acetone extraction because it eliminates the
problems of sample storage, grinding etc., while performing equally well.

Calibration: The Interim Guidance (USEPA, 1985) follows Strickland and
Parsons' (1972) recommendation that healthy cultures and a "mixture
of about equal amounts (by pigment) of Skeletonema costatum, Coccolithus
huxleyii, and Peridinium trochoidium be used as a source of
spectrophotometrically determined chlorophyll for calibration of the
fluorometer.  It is our recommendation that commercially available
chlorophyll, not generally available in 1972, be used in the calibration.
Strickland and Parsons (1972) in fact state that calibration "must be
done on extracts from marine phytoplankton as pure chlorophyll a_ is
                                  11-19

-------
difficult to obtain."  Using pure chlorophyll should reduce
interlaboratory calibration differences and be an easily reproducible
frame of reference within a laboratory.  Any potential advantage of
calibrating with a pigment mixture very similar to that of the sample
population quickly disappears in an estuarine environment having rapidly
changing pigment complements throughout the year.  The use of chlorophyll
quality control (QC) samples available from the Environmental Monitoring
and Support Laboratory - Cincinnati (EMSL-Cincinnati) should be
incorporated into routine analyses programs.

     The above comments generally apply also to the APHA (1985) Method
1001G2 which is essentially the same as Strickland and Parsons (1972).
The Interim Guidance should be more inclusive, or general, to include
other fluorometers such as the Turner Designs which is coming into
widespread use.  For estuarine work, units of >ug per liter are more
appropriate than mg per cubic meter.  The possibility of using HPLC to
separate the pigments before analysis should be both allowed and
encouraged.  An evaluation of the costs of obtaining accurate and
informative data through automated HPLC techniques should be carried out.
Recommendations for the Chesapeake Bay Program

1.  Take small samples 5-15 ml depending on chlorophyll concentration and
place them in the DMSO solvent on board the ship.

2. After 24 hours or upon return to port several days later, the samples
are read on the fluorometer and calculated without a phaeo-pigment
correction.

     It should be recognized that this method although fast and easy,
will give the best data on euphotic zone samples which have few
chlorophyll decomposition products.  Samples from near the bottom or
which contain sediments, fecal pellets, etc., will give values which are
inflated by the decomposition products.
Alternative Recommendation.

1.  Take samples of 200-1000 ml and extract as in the above
recommendation.

2. Read the sample before and after acidification in a spectrophotometer
using a 1 cm cell only if the concentrations are above a fixed threshold
such as 0.25;ug/ml.  For lower concentrations, small volume longer  light
path (5 or 10 cm) cuvettes should be required.

3. An option to step 2 is to read the  extract at multiple wavelengths as
well as before and after acidification and report all the pertinent data
so that users can make whatever calculations they wish, i.e. station
data, sample and extract volumes, and  spectrophotometric readings and
length of light path.
                                  11-20

-------
                               REFERENCES
Abaychi, J.K., and J. P. Riley.  1979.  The determination of phytoplankton
pigments by high-performance liquid chromatography.   Anal. Chim.  Acta
107:1-11.

Adamski, J. M.  1976.  Simplified Kjeldahl nitrogen determination for
seawater by a semiautomated persulfate digestion method.  Anal. Chem.
43:1194-1197.

Afghan, B. K., Goulden, P. D., and Ryan, J. F. 1971.  "Use of Ultraviolet
Irradiation in the Determination of Nutrients in Water with Special
Reference to Nitrogen."  Tech. Bull. No. 40, Inland Waters Branch,
Department of Energy Mines and Resources, Ottawa, Canada.

APHA.  1985.  Standard methods for the examination of water and wastewater.
American Public Health Association, Washington, DC  1268 pp.

Armstrong, F. A. J., P. M. Williams, and J. D. H. Strickland.  1966.
Photo-oxidation of organic matter in sea water by ultraviolet radiation,
analytical and other applications.  Nature  211:481-483.

ASTM.  1979.  Water.  In:  Annual Book of ASTM Standards, Part 31. Amer.
Soc. Test. Mat., Philadelphia.

Barnes, H. 1959.  "Apparatus and Methods of Oceanography.  Part One:
Chemical."  George Allen and Unwin, Ltd., London.

Brown, L. M., B. T. Hargrave, and M. D. Mackinnon.  1981.  Analysis of
chlorophyll a in sediments by high-pressure liquid chromatography.  Can. J.
Fish. Aquat. Sci.  38:205-214.

Burnison, B. K.  1980.  Modified dimethyl sulfoxide (DMSO) extraction for
chlorophyll analysis of phytoplankton.  Can. J. Fish. Aquat. Sci.
37:729-733.

Conetta, A., A. Buccafuri, and J. Jansen.  1976.  A semiautomated system
for the wet digestion of water samples for total Kjeldahl N and total P.
Am. Lab.  8:103-110.

D'Elia, C. F.  1983.  Nitrogen determination in seawater.  In: D. G.
Cappone and E. J. Carpenter [eds.], Nitrogen in the Marine Environment.
Academic Press,  pp. 731-762.

D'Elia, C. F., P. A. Steadier, and N. Corwin.  1977.  Determination of
total nitrogen in aqueous samples using persulfate digestion.  Limnol.
Oceanogr.  22:760-764.
                                   11-21

-------
Duncan, M. J., and P. J. Harrison.  1982.  Comparison of solvents for
extracting chlorophylls from marine macrophytes.  Bot. Mar.  25:445-447.

Ebina, J., T. Tsutsui, and T. Shirai.   1983.  Simultaneous determination of
total nitrogen and total phosphorus in  water using peroxodisulfate
oxidation.  Water Res.  17:1721-1726.

Eppley, R. W., W. G. Harrison, S. W.  Chisholm, and E. Stewart.  1977.
Particulate organic matter in surface waters off southern California and
its  relationship to phytoplankton.  J.  Mar. Res.  35:671-696.

Fabbro, L. A., L. A. Filachek, R. L.  lannacone, R. T. Moore, R. J. Joyce,
Y. Takahashi, and M. E. Riddle.   1971.  Extension of the microcoulometric
determination of total bound nitrogen in hydrocarbons and water.  Anal.
Chem.  43:1671-1678.

Faithfull, N. T. 1971.  Automated simultaneous determination of nitrogen,
phosphorus, potassium and calcium on  the same herbage digest solution.
20:41-44.

Froelich, P. N., and M. E. Q. Pilson.   1978.  Systematic absorbance errors
with Technicon AutoAnalyzer II colorimeters.  Water Res. 12:599-603.

Fuhs, G. W. 1971.  Determinations of  particulate phosphorus by alkaline
persulfate digestion..  Intern. J. Environ.  Anal. Chem. 1:123-129.

Garside, C., and J. P. Riley.  1969.  A thin-layer chromatographic method
for the determination of plant pigments in sea water and cultures.  Anal.
Chim. Acta. 46:179-191.

Gibbs, C. F.  1979.  Chlorophyll a and  'phaeo-pigments'.  Aust. J. Mar.
Freshwater Res.  30:597-606.

Gieskes, W. W. C., and G. W. Kraay.   1983.  Dominance of Cryptophyceae
during the phytoplankton spring bloom in the central North Sea detected by
HPLC analysis of pigments.  Mar. Biol.  75:179-185.

Glibert, P. M., C. F. D'Elia, and Z. Mlodzinska.  1976.  A semiautomated
persulfate oxidation technique for simultaneous total nitrogen and total
phosphorus determination in natural water samples.  Woods Hole Oceanog.
Inst. Contrib. No. 3954.

Goeyens, L., E. Post, F. Dehairs, A. Vandenhoudt, and W. Baeyens.  1982.
The use of high pressure liquid chromatography with fluorimetric detection
for chlorophyll a determination in natural extracts of chloropigments and
their degradation products.  Intern. J. Environ. Anal. Chem.  12:51-63.

Gordon, D. C.  and Sutcliffe, W. H., Jr.  1974.  Filtration of seawater
using silver filters for particulate nitrogen and carbon analysis.  Limnol.
Oceanogr.  19:989-993.

Goulden, P. D.,  and D.  H.  J.  Anthony.   1978.   Kinetics of uncatalyzed
peroxydisulfate oxidation of  organic material in fresh water.   Anal. Chem.
50:953-958.
                                    11-22

-------
Grasshoff, K., M. Ehrhardt, and K. Kremling.  1973.  Methods of Seawater
Analysis, Second edition.  Verlag-Chimie. Weinheim.  419 pp.

Henriksen, A.  1970.  Determination of total nitrogen, phosphorus and iron
in fresh water by photo-oxidation with ultraviolet radiation.  Analyst
95:601-608.

Hernandez, H. A.  1981.  Total bound nitrogen determination by
pyrochemiluminescence.  Am. Lab. 13:72-76.

Inskeep, W. P., and P. R. Bloom.  1985.  Extinction coefficients of
chlorophyll a and b in N,N- dimethylformamide and 80% acetone.  Plant
Physiol.  77:483-485.

Jeffrey, S. W. , and G. M. Hallegraeff.  1980.  Studies of phytoplankton
species and photosynthetic pigments in a warm core eddy of the East
Australian Current. I. Summer populations.  Mar. Ecol. Prog. Ser.
3:285-294.

Jeffrey, S. W., and G. F. Humphrey.  1975.  New spectrophotometric
equations for determining chlorophyll a, b, cl and c2 in higher plants,
algae and natural phytoplankton.  Biochem. Physiol. Pflanzen.  167:191-194.

Jeffrey, S. W., M. Sielicki, and F. T. Haxo.  1975.  Chloroplast pigment
patterns in dinoflagellates.  J. Phycol.  11:374-384.

Jirka, A. M., M. J. Carter, D. May, and F. D. Fuller.  1976.  Ultramicro
semiautomated method for simultaneous determination of total phosphorus and
total Kjeldahl nitrogen in wastewaters.  Env. Sci. Technol.  10:1038-1044.

Kalff, J., and E. Bentzen.  1984.  A method for the analysis of total
nitrogen in natural waters.  Can. J. Fish. Aquat. Sci.  41:815-819.

Kjeldahl, J.  1883.  A new method for the determination of nitrogen in
organic matter.  Z. Anal. Chem. 22:366-382.

Knight, R., and R. F. C. Mantoura.  1985.  Chlorophyll and carotenoid
pigments in Foraminifera and their symbiotic algae: analysis by high
performance liquid chromatography.  Mar. Ecol. Prog. Ser.  23:2.41-249.

Koroleff, F.  1970.  Revised version of "Direct Determination of Ammonia in
Natural Waters as Indophenol Blue", Int. Counc. Explor. Sea, Paper C. M.
1969/C:9.  ICES, Charlottenlund, Denmark.

Koroleff, F.  1976.  Determination of ammonia.  In: K. Grasshoff [ed.],
Methods of Seawater Analysis. Verlag Chemie, New York.  pp. 126-133.

Langner, C. L., and P. F. Hendrix.  1982.  Evaluation of a persulfate
digestion method for parlticulate nitrogen and phosphorus.  Water Res.
16:1451-1454.

Lorenzen, C. J.  1967.  Determination of chlorophyll and pheo-pigments:
spectrophotometric equations.  Limnol. Oceanogr.  12:343-346.
                                     11-23

-------
Lorenzen, C. J., and S. W. Jeffrey.  1980.  Determination of chlorophyll in
seawater.  UNESCO Technical Papers in Marine Science, No. 35. UNESCO, Paris
20 pp.

Lowry, J. H., and K. H. Mancy.  1978.  A rapid automated system for the
analysis of dissolved total organic nitrogen in aqueous solutions.  Water
Res.  12:471-475.

Mantoura, R. F. C., and C. A. Llewellyn.  1983.  The rapid determination of
algal chlorophyll and carotenoid pigments and their breakdown products in
natural waters by reverse-phase high-performance liquid chromatography.
Anal. Chim. Acta  151:297-314.

Moran, R., and D. Porath.  1980.  Chlorophyll determination in intact
tissues using N,N- Dimethylformamide.  Plant Physiol.  65:478-479.

Moss, B.  1967.  A note on the estimation of chlorophyll a in freshwater
communities.  Limnol. Oceanogr.  12:340-342.

Nydahl, F.  1976.  On the optimum conditions for the reduction of nitrate to
nitrite by cadmium.  Talanta.  23:349-357-r

Paerl, H. W., J. Tucker, and P. T. Bland.  1983.  Carotenoid enhancement
and its role in maintaining blue-green algal (Microcystis aeruginosa)
surface blooms.  Limnol. Oceanogr.  28:847-857.

Parsons, T. R., Y. Maita, and C. M. Lalli.  1984.  A manual of chemical and
biological methods for seawater analysis.  Pergamon Press, New York  173
pp.

Reay, P. F.  1985.  An improved determination of ammonia in Kjeldahl
digests and acidic solutions with a buffered berthelot reaction.  Anal.
Chim. Acta  176:275-278.

Scheiner, D. 1976.  Determination of ammonia and Kjeldahl nitrogen by
indophenol method.  Water Res.  10:31-36.

SCORE (1966) Monographs on oceanographic methodology. Vol. 1.
Determination of photosynthetic pigments in seawater. UNESCO Press,
Paris. 69 pp.

Seely, G. R., M. J. Duncan, and W. E. Vidaver.  1972.  Preparative and
analytical extraction of pigments from brown algae with dimethyl sulfoxide.
Mar. Biol.  12:184-188.

Shioi, Y., R. Fukae, and T. Sasa.  1983.  Chlorophyll analysis by
high-performance liquid chromatography.  Biochim. Biophys. Acta  722:72-79.

Shoaf, W. T., and B. W. Lium.  1976.  Improved extraction of chlorophyll a
and b from algae using dimethyl sulfoxide.  Limnol. Oceanogr.  21:926-928.

Smart, M. M., Reid, F. A. and Jones, J. R. 1981.  A comparison of a
persulfate digestion and the Kjeldahl procedure for determination of total
nitrogen in freshwater samples.  Water Res.  15:919-921.
                                      11-24

-------
Snedecor, G. W., and W. G. Cochran.  1967.  Statistical Methods.  Sixth
ed., The Iowa State University Press.

Sol6rzano, L., and J. H. Sharp.  1980.  Determination of dissolved
organic nitrogen in natural waters.  Limnol. Oceanogr.  25:751-754.

Speziale, B. J., S. P. Schreiner, P. A. Giammatteo, and J. E. Schindler.
1984.  Comparison of N, N-dimethylformamide, dimethyl sulfoxide, and
acetone for extraction of phytoplankton chlorophyll.  Can. J. Fish. Aquat.
Sci.  41:1519-1522.

Stauffer, R. E., G. F. Lee, and D. E. Armstrong.  1979.  Estimating
chlorophyll extraction biases.  J. Fish. Res. Bd. Can.  36:152-157.

Stevens, R. J.  1976.  Semi-automated ammonia probe determination of
Kjeldahl nitrogen in freshwaters.  Water Res. 10:  171-175.

Strickland, J. D. H., and T. R. Parsons.  1968.  A practical handbook of
seawater analysis.  Fish.^Res. Bd. Can.  Bull No. 167, 311 p.

Strickland, J. D. H., and T. R. Parsons.  1972.  A Practical Handbook of
Seawater Analysis.  Bull. Fish. Res. Board Can.  310 pp.

Suzuki, U., Y. Sugimura, and T. Itoh.  1985.  A catalytic oxidation method
for the determination of total nitrogen dissolved in seawater.  Mar. Chem.
16:83-97.

United States Environmental Protection Agency  1979.  Methods for Chemical
Analysis of Water and Wastes.  Off. Res. Devel. Cincinnati, Ohio.
EPA-60074-79-020.

United States Environmental Protection Agency  1985. Interim Guidance on
Quality Assurance/Quality Control (QA/QC) for The Estuarine Field and
Laboratory Methods.  Office of Marine and Estuarine Protection (draft).
154pp.

Valderrama, J. C.  1981.  The simultaneous analysis of total nitrogen and
total phosphorus in natural waters.  Mar. Chem.  10:109-122.

Van Hall, C.E., Safranko, J., and Stenger, V.A.  1963.  Rapid combustion
method for the determination of organic substances in aqueous solutions.
Anal. Chem. 35:315-319.

Webb, K. L. 1978. Nitrogen determination.  In: "Coral Reefs: Research
Methods" (D. R. Stoddart and R. E. Johannes, eds.), pp. 413-419.  Monographs
on Oceanographic Methodology, Vol. 5. SCOR/UNESCO, Paris.

Webb, K. L., W. D. DuPaul, W. J. Wiebe, W. Sottile, and R. E. Johannes.
1975.  Enewetak (Eniwetok) Atoll: aspects of the nitrogen cycle on a coral
reef.  Limnol. Oceanogr.  20:198-210.

Wood, A. M.  1979.  Chlorophyll a:b in marine planktonic algae.  J. Phycol.
15:330-332.
                                 11-25

-------
Wood, L. W.  1985.  Chloroform-methanol extraction of chlorophyll a.  Can.
J. Fish. Aquat. Sci.  42:38-43.

Yentsch, C. S., and D. W. Menzel.  1963.  A method for the determination of
phytoplankton chlorophyll and phaeophytin by fluorescence.  "Deep-Sea Res.
10:221-231.
                                11-26

-------
Appendix I.  Letter from B. Nowicky at the University of Rhode Island
summarizing her comparisons -of the TKN and TPN techniques as well as the
recovery, of caffeine-N using the TPN technique.
                                  III-l

-------
          University of Rhode bland, Narregansctt, Rhode k!axi 02882
          Graduate School of Oceanography, Narragansett Bay Campus
                                        February 6, 1986
Dr. Christopher D'Elia
Chesapeake Biological Laboratory
P. 0. Box 38
Solomons, Maryland   20688

Dear Dr. D'Elia:

      I haven't forgotten your  request for data comparing the Kjeldahl
technique with the Persulfate digestion for total  nitrogen, I'm afraid
that locating that work  (done some  eight or nine years ago) is proving
more difficult than  I expected.   I've enclosed a brief table which may
be of some help.  As the table  shows, I first noticed that I got
consistently higher  values  for  the  Persulfate digestion than with the
Kjeldahl technique.  When  I  checked my percent recovery of standard
additions of various organic compounds (urea, glycine, EDTA) to seawater,
I found I got better recovery with  the Persulfate Technique.  In. addition
I found that my precision was much  better using a persulfate digestion.
The "caffeine recovery experiment"  was done after Suzuki et al. (Mar.
Chem. !_£, (1985) 83-97)  published an article questioning the ability of
the persulfate digestion to  deal  with ring nitrogen compounds.  My decision
to switch to persulfate  digestions  was made after quite a lot of "playing
around" with the various techniques.  Unfortunately, I never published
the data (or intended to) and it sits in my lab notebooks in disarray.
The table* I'm sending are  some hits and pieces.  I hope they're of use.

                                        Sincerely,
                                        Barbara Nowicki
BN/d
Enc.
                               III-2

-------
Six different samples were taken from the MERL experimental mesocosms
(salinity = 30 °/oo)  and filtered (precompusted Glass fiber-filters). The
samples were then analysed using both Kjeldahl and Persulfate techniques.
                                 Total dissolved nitrogen (ug-at L  )
Tank #
5
5
5
7
7
7
Time Kjeldahl technique
9 a.m.
noon
3 p.m.
9 a.m.
noon
3 p.m.
10.9
10.8
11.7
12.0
14.4
11.3
Persulfate digestion
15.3
14.7
13.7
15.0
18.3
15.3

Kjeldahl technique - precision of duplicate estuarine samples.

                           Total dissolved
Sample                  Nitrogen  (^g at IT1)      x       ± 1 s.d.
Brushneck Cove mouth

Brushneck Cove head

#1
#2
#1
#2
31.91
30.42
46.51
47.60
31.2 ' 1.05

47.1 0.8


Persulfate digestion - precision of six replicate estuarine samples from
                             the MERL mesocosms.

                                 Total N               Total P
                                 x + s.d.              x + s..d.

       Unfiltered samples       60.3 ± 0.3            2.0  ± 0.08
       Filtered samples         31.7 + 0.3            1.16 ± 0.04
                                  III-3

-------
A check on percent recovery of various organic N compounds added to artificial
seawater using the persulfate digestion technique.
                                   _

                               chart units             % recovery
    Compound             (mean of 4 replicates)      relative to NO^


    10 uM NOj                    11.63

    10 uM Glycine                11.54                    99%

    10 uM Urea                   11.55                    99%

    10 jiM Caffine                11.34                    99%
                                   III-4

-------
             Appendix II.    Raw data for TKN and TPN analysis performed on
                           continental shelf seawater spiked with  standard.


Salinity      Standard TKN                       TPN
   %           cone.,    Pk ht  Cone.,  Recovery  PK ht  Cone.,  Recovery
0
0
,0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
BLANK
BLANK
BLANK
GLU
GLU
GLU
GLU
GLU
GLU
NH4
NH4
NH4
NH4
NH4
NH4
N03-
N03-
N03-
N03-
N03-
N03-
UREA
UREA
UREA
UREA
UREA
UREA
BLANK
BLANK
BLANK
GLU
GLU
GLU
GLU
GLU
GLU
NH4
NH4
NH4
NH4
NH4
NH4
N03-
N03-
N03-
N03-
N03-
N03-
UREA
UREA
UREA
UREA
0.0
0.0
0.0
25.2
25.2
50.4
50.4
75.5
75.5
15.0
15.0
45.0
45.0
75.0
75.0
25.0
25.0
50.0
50.0
75.0
75.0
26.8
26.8
53.6
53.6
80.4
80.4
0.0
0.0
0.0
25.2
25.2
50.4
50.4
75.5
75.5
15.0
15.0
30.0
30.0
75.0
75.0
25.0
25.0
50.0
50.0
75.0
75.0
26.8
26.8
53.6
53.6
16.0
15.8
14.1
28.0
30.6
39.6
38.9
59.3
53.7
24.3
21.8
39.3
38.8
48.1
50.3
14.4
14.5
13.9
15.9
13.6
13.3
30.0
29.6
41.5
40.8
48.7
53.1
11.3
12.1
12.5
29.5
27.3
32.5
43.5
59.1
56.9
23.6
27.8
44.0
45.8
54.5
58.6
16.1
24.4
15.5
15.3
22.7
18.3
31.6
27.6
45.6
50.1
2.22
1 .81
-1.74
27.24
32.66
51.43
49.97
92.51
80.83
19.53
14.32
50.81
49.76
69.15
73.74
-1.11
-0.90
-2.16
2.01
-2.78
-3.41
31.41
30.58
55.39
53.93
70.40
79.58
-7.58
-5.91
-5.07
30.37
25.78
36.63
59.56
92.09
87.50
18.07
26.83
60.60
64.36
82.50
91.05
2.43
19.74
1.18
0.76
16.19
7.02
34.75
26.41
63.94
73.32



1.08
1.30
1.02
0.99
1.23
1.07
1.30
0.95
1. 13
1.11
0.92
0.98
-0.04
-0.04
-0.04
0.04
-0.04
-0.05
1.17
1.14
1.03
1.01
0.88
0:99



1.21
1.02
0.73
1.18
1.22
1.16
1.20
1.79
2.02
2.15
1.10
1.21
0.10
0.79
0.02
0.02
0.22
0.09
1.30
0.99
1.19
1.37
7.3
8.2
9.4
25.4
27.8
44.4
43.2
63.4
66.2
17.4
24.7
40.5
41.8
59.0
59.4
27.3
28.5
50.3
50.2
64.5
64.7
26.6
26.8
53.4
50.4
70.7
67.3
10.1
10.8
8.2
26.6
26.2
46.7
48.6
66.2
64.9
20.7
20.1
31.6
27.3
64.1
64.1
27.6
20.9
48.3
48.3
68.3
68.5
26.8
25.9
48.4
48.8
0.00
0.00
0.60
21.50
24.60
46.20
44.70
71.00
74.60
20.60
11.10
41.20
42.80
65.20
65.80
24.00
25.50
53.90
53.80
72.40
72.60
23.10
23.30
57.90
54.00
80.50
76.00
1.50
2.40
0.00
23.00
22.40
49.10
51.60
74.50
72.80
15.30
14.50
29.50
23.90
71.80
71.80
24.30
26.10
51.20
51.20
77.20
77.50
23.20
22.10
51.30
51.90



0.85
0.98
0.92
0.89
0.94
0.99
1.37
0.74
0.92
0.95
0.87
0.88
0.96
1.02
1.08
1.08
0.97
0.97
0.86
0.87
1.08
1.01
1.00
0.95



0.91
0.89
0.97
1.02
0.99
0.96
1.02
0.97
0.98
0.80
0.96
0.96
0.97
1.04
1.02
1.02
1.03
1.03
0.87
0.82
0.96
0.97
                              III-5

-------
25
25
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
50
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
Ifl
75
75
75 '
UREA
UREA
BLANK
BLANK
BLANK
GLU
GLU
GLU
GLU
GLU
GLU
NH4
NH4
NH4
NH4
NH4
NH4
N03-
N03-
N03-
N03-
N03-
N03-
UREA
UREA
UREA
UREA
UREA
UREA
BLANK
BLANK
BLANK
GLU
GLU
GLU
GLU
GLU
GLU
NH4
NH4
NH4
NH4
NH4
NH4
N03-
N03-
N03-
N03-
N03-
N03-
UREA
UR!A
UREA
UREA
UREA
80.4
80.4
0.0
0.0
0.0
25.2
25.2
50.4
50.4
75.5
75.5
15.0
15.0
45.0
45.0
75.0
75.0
25.0
25.0
50.0
50.0
75.0
75.0
26.8
26.8
53.6
53.6
80.4
80.4
0.0
0.0
0.0
25.2
25.2
50.4
50.4
75.5
75.5
15.0
15.0
45.0
45.0
75.0
75.0
25.0
25.0
50.0
50.0
75.0
75.0
26.8
§§:i
53.6
80.4
80.4
NA
57.5
14.4
13. 1
11.9
29.9
23.8
42.4
42.0
55. 1
50.8
22.5
22.8
41.9
40.3
51.3
53.0
11.3
12.6
15.5
13.6
14.9
16.3
25.1
27.1
43.3
26.8
58.8
56.8
10.5
8.0
11.9
37.0
28.6
44.1
46.5
50.4
54.0
26.3
25.9
43.0
42.6
55.8
54.1
15.1
16.0
16.8
24.1
17.0
16.2
30.0
44 :i
49.0
57.5
58.9
NA
88.75
-1. 11
-3.82
-6.33
31.21
18.49
57.27
56.43
83.75
74.78
15.78
16.40
56.23
52.89
75.83
79.37
-7.68
-4.87
1.18
-2.78
-0.07
2.85
21.20
25.37
59.15
24.74
91.46
87.29
-9.24
-14.46
-6.33
46.01
28.49
60.81
65.82
73.95
81.46
23.70
22.87
58.52
57.69
85.21
81.66
0.35
2.22
3.89
19.11
4.31
2.64
31.41
15:1?
71.03
88.75
91.67
NA
1. 10



1.24
0.73
1. 14
1. 12
1.11
0.99
1.05
1.09
1.25
1.18
1.01
1.06
-0,31
-0.19
0.02
-0.06
.00
0.04
0.79
0.95
1.10
0.46
1.14
1.09



1.83
1.13
1.21
1.31
0.98
1.08
1.58
1.52
1.30
1.28
1.14
1.09
0.01
0.09
0.08
0.38
0.06
0.04
1.17
!:?§
1.33
1.10
1.14
70.9
74. 1
10.1
17.6
13.0
30.0
31.7
51.4
46.3
66.2
67.5
23.1
22.9
40.7
42.7
70.7
66.2
28.3
27.6
47.8
47.5
71.5
71.5
28.6
27.6
48.1
47.8
71.1
70.2
1.0
1.9
2.3
31.4
28.9
54.7
52.5
67.7
70.0
23.7
25.8
49.3
42.8
72.4
70.2
30.3
32.4
50.2
51.2
72.6
72.6
28.0
?§:i
52.8
67.1
66.6
80.60
84.80
1 .40
11. 10
5.20
27.30
29.50
55.10
48.50
74.40
76.10
18.30
18.10
41.20
43.80
80.50
74.60
25.10
24.20
50.50
50.10
81.30
81.30
25.50
24.20
50.80
50.50
80.80
79.60
.0.20
1.30
.1.80
28.90
25.70
59.20
56.40
76.20
79.10
18.90
21.60
52.20
43.70
82.30
79.40
27.50
30.20
53.40
54.70
82.50
82.50
24.90
§i:i8
56^80
75.40
74.70
1.00
1.05



1.08
1.17
1.09
0.96
0.99
1.01
1.22
1.21
0.92
0.97
1.07
0.99
1.00
0.97
1.01
1.00
1.08
1.08
0.95
0.90
0.95
0.94
1.00
0.99



1.15
1.02
1.17
1.12
1.01
1.05
1.26
1.44
1.16
0.97
1.10
1.06
1.10
1.21
1.07
1.09
1.10
1.10
0.93
1:88
1.06
0.94
0.93
III-6

-------
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100 .
100
100
100
100
100
100
100
100
100
100
100
BLANK
BLANK
BLANK
GLU
GLU
GLU
GLU
GLU
GLU
NH4
NH4
NH4-
NH4
NH4
NH4
N03-
N03-
N03-
N03-
N03-
N03-
UREA
UREA
UREA
UREA
UREA
UREA
0.0
0.0
0.0
25.2
25.2
50.4
50.4
75.5
75.5
15.0
15.0
45.0
45.0
75.0
75.0
25.0
25.0
50.0
50.0
75.0
75.0
26.8
26.8
53.6
53.6
80.4
80.4
10.5
10.0
11.8
24.8
26.3
43.6
39.4
50.6
53.3
19.5
20.8
42.5
38.4
55.8
51.8
14.3
14.3
NA
NA
15.5
16.2
27.3
26.5
49.5
45.8
58.2
60.4
-9
-10
-6
20
23
59
51
74
80
9
12
57
48
85
76
-1
-1


1
2
25
24
72
64
90
94
.24
.29
.53
.57
.70
.77
.01
.37
.00
.52
.23
.48
.93
.21
.87
.32
.32
NA
NA
.18
.64
.78
.12
.07
.36
.21
.80



0
0
1
1
0
1
0
0
1
1
1
1
-0
-0


0
0
0
0
1
1
1
1



.82
.94
. 19
.01
.98
.06
.63
.82
.28
.09
. 14
.02
.05
.05
NA
NA
.02
.04
.96
.90
.34
.20
.12
.18
13. 1
16.6
14.2
35.9
30.8
49.6
50.6
72.9
71.5
25.1
27.5
46.2
46.7
68.3
72.1
31.0
36.0
48.6
50.5
69.4
72.4
31.8
28.6
46.0
50.1
65.1
64.1
5.
9.
6.
34.
28.
52.
53.
82.
81.
20.
23.
48.
48.
76.
81.
28.
34.
51.
53.
78.
82.
30.
25.
47.
53.
72.
71.
00
60
40
70
00
50
80
80
00
60
70
10
70
80
80
30
80'
20
70
30
20
00
20
80
10
70
40



1.38
1. 11
1.04
1.07
1.10
1.07
1.37
1.58
1.07
1.08
1.02
1.09
1.13
1.39
1.02
1.07
1.04
1.10
1.12
0.94
0.89
0.99
0.90
0.89
III-7

-------
          Appendix III.



Salinity Standard
    %
    0    glutamic acid

    0    ammonia

    0    nitrate

    0    urea

   25    glutamic acid

   25    ammonia

   25    nitrate

   25    urea

   50    glutamic acid

   50    ammonia

   50    nitrate

   50    urea

   75    glutamic acid

   75    ammonia

   75    nitrate

   75    urea

  100    glutamic acid

  100    ammonia

  100    nitrate

  100    urea
Regression curves for TKN and TPN  analyses
performed on continental shelf seawater spiked
with standard.
  Method  Intercept SEM   Slope
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
  TKN
  TPN
SEM
15
7
15
9
15
8
16
7
11
9
16
9
13
8
12
-0
13
13
14
12
12
11
11
11
13
4
13
5
11
3
12
3
11
14
11
14
11
14
11
14
. 11
.97
.99
.42
.29
.87
.24
.99
.94
.17
.44
.25
.41
.17
.81
.71
.44
.40
.19
.54
.52
.77
.98
.96
.21
.04
.12
.10
.54
.64
.28
.83
.31
.27
.44
.66
.35
.47
.09
.32
1
0
0
1
0
1
0
1
1
0
3
0
1
1
1
1
1
1
1
1
0
1
2
1
2
1
1
2
1
1
1
1
1
1
1
0
0
1
1
0
.217
.775
.881
.187
.447
.032
.960
.150
.949
.711
.230
.758
.982
.524
.507
.593
.206
.281
.068
.538
.689
.702
.884
.575
.659
.951
.821
.139
.801
.423
.868
.762
.041
.098
.134
.828
.597
.137
.222
.909
0
0
0
0
-0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
.529
.740
.462
.678
.020
.768
.446
.772
.587
.747
.593
.724
.092
.791
.604
.008
.537
.706
.531
.719
.036
.763
.527
.704
.570
.907
.593 '
.902
.106
.939
.604
.826
.558
.750
.586
.733
.066
.738
.623
.624
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
.027
.017
.021
.028
.010
. 123
.020
.024
.044
.016
.083
.020
.045
.035
.037
.034
.027
.029
.026
.037
.016
.039
.061
.033
.060
.044
.044
.051
.041
.032
.040
.037
.023
.025
.027
.020
.014
.026
.026
.019
0.
0.
0.
0.
-0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
991
998
993
994
605
997
993
997
981
998
937
998
611
993
989
996
991
994
992
991
661
991
956
992
963
992
982
989
699
996
985
993
994
996
993
998
902
996
994
997
                          III-8

-------
Appendix IV.  Tables from literature comparing precision of the total N
              determinations by TKN and TPN.
(A)  Seawater field samples.  (D'Elia et al., 1977)


Concentration






*n
20
20-40
40-60
60-80
80-100
100-120
= # pairs
TPN
(uM) Mean (uM)
14.2
26.9
50.7
70.9
88.2
110.9
of samples analyzed
TKN + N03 and NO^
N*
23
14
11
20
12
16

CV%
8.7
5.9
8.6
5.2
3.2
3.7

Mean (uM)
14.3
27.1
47.3
70.1
	
____

N (pairs)
12
12
3
3
	
— — —

-N
CV%
5.3
6.9
7.3
2.2
	
— — —

(B)  Standard samples (NHj-N)  (Smart et al., 1981)
     (3 samples analyzed -for each measurement)
TPN
Concentration
(iiM)
0.16
0.36
0.51
0.81
1.12
1.22
1.42
1.76
2.20
2.42
Mean
(mg-lT1)
0.17
0.39
0.49
0.83
1.08
1.21
1.51
1.84
2.17
2.48
CV%

20.05
4.07
2.22
7.85
4.24
3.33
3.04
4.69
2.02
4.85
Concentration
(uM)
0.10
0.20
0.30
0.60
0.80
1.20
1.40
1.60
2.00
2.40
TKN
Mean
(mg-lT1)
0.11
0.57
0.36
0.53
0.66
1.28
1.30
1.72
1.88
2.83

CV%

25.52
10.84
6.16
4.66
16.91
1.10
3.81
14.36 .
2.55
5.35
                                 III-9

-------
(C)  Freshwater field samples.  (Smart et al., 1981)
     (3 samples analyzed for each measurement)
                                     TPN                             TKN
Sample Sites
Mean
(mg-lT1)
CV%
Mean
(mg-lT1)
cv%
Bear Creek above site           0.22         5.72           0.18           10.65
Silver Fork Creek               0.41         6.49           0.36           19.29
Mississippi River               0.80         6.22           0.55            5.79
Salt River                      0.76         3.23           0.59           25.31
Hinkson Creek                   0.69         4.46           0.61            9.90
Ted Shanks Marsh No. 8          1.05         2.28           0.61           25.25
Bear Creek Below Site           0.82         9.44           0.72            7.37
Ted Shanks Marsh No. 2          1.20         5.11           0.75           11.24
Cedar Lake                      1.10         6.04           0.87            2.89
LeFevre Pond                    4.83         6.88           4.39            9.49
                                   111-10

-------

-------
                       APPENDIX E



      RESULTS OF EPA AUDIT SWP481 PERFORMED BY CBL



A CHECK OF ACCURACY FOR DISSOLVED NITROGEN AND PHOSPHORUS

-------

-------

-------
                                       25. March 1987


Dr. Robert Magnien
Office of Environmental Programs
Water Management Administration
Dept. of Health and Mental'Hygiene
201 W. Preston St.
Baltimore, Md.  21201

Dear Rob:

     I am enclosing the results of quality control samples from  EPA
unknowns WP481 performed by CBL in conjunction witlh the February 1987
mainstem samples.  The actu-al concentrations of these unknowns were knc
only to myself and I had no part in the analyses.

Nutrient                  CBL           EPA             9556  C.I.  reporl
                                                           by EPA

Ammoni&-N                 0.281         0.28               0.23-0.33
Nitrate-N                 0,142         0.14               0.11-0.17
Orthophosphate-P          0.045         0.05               0.04-0.06
Total Kjeldahl-N          0.34          0.32               0.18-0.48
*Alkaline Persulfate-N    0.311          —                    	
Total-P                   0.107         0.10               0.07-0.13
*Alkaline Persulfate-P    0.104          --                    	

All concentrations are reported in mg/1

     Alkaline persulfate N and P were also performed on these unknowns
and the results are reported above.  Again, in1eacli case, the values
obtained by the different method? are nearly identical.

     These results will become part of our continuing QA/QC  program for
1987.  We are all very pleased with the results aad should you have any
questions, please call us at your convenience.

                                       Sincerely yours,
                                       Carl F. Zimmermann
cc: Dr.  C.F.  D'Elia
    Mr.  R.  Batiuk
    Ms.  B.  Fletcher
    Nutrient Analytical Services file

-------

-------