EPA-600/4-75-007
September 1975
Environmental Monitoring Series
              ANALYTICAL QUALITY ASSURANCE
                FOR TRACE  ORGANICS  ANALYSIS
                    BY GAS CHROMATOGRAPHY/
                           MASS SPECTROMETRY
                     Environmental Monitoring and Support Laboratory
                                Office of Research and Development
                               U.S. Environmental Protection Agency
                                       Cincinnati, Ohio 45268

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                                 EPA-600/4-75-007
                                   September 1975
     ANALYTICAL  QUALITY ASSURANCE
       FOR TRACE ORGANICS ANALYSIS
            BY GAS CHROMATOGRAPHY/
                   MASS SPECTROMETRY

                                          by
                              James W. Eichelberger
                              William M. Middleton
                              and William L. Budde
 UNITED STATES ENVIRONMENTAL PROTECTION AGENCY
      OFFICE OF RESEARCH AND DEVELOPMENT
ENVIRONMENTAL MONITORING AND SUPPORT LABORATORY
             CINCINNATI, OHIO 45268

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This document is available to the public through the National Technical Infor-
mation  Service, Springfield,  Virginia 22151.
                                       ii

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                        REVIEW NOTICE

    This  report has been  reviewed  by the Environmental Monitoring and
Support Laboratory,  U.S.  Environmental Protection Agency,  and approved for
publication. Mention of trade names or commercial products does not constitute
endorsement or recommendation for use.
                                   ill

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                                    INTRODUCTION
  The importance of analytical quality assurance
in trace organic  pollutant analysis  cannot be
overestimated.  Data generated in  surveys  are
being used to set standards for drinking water,
surface  water  quality,  and  effluents.  Possible
correlations  between the  presence  of  organic
contaminants in drinking water and human health
effects are under widespread study.  In the past
many carefully conducted measurements were not
documented with sufficient data to support their
reliability. This  caused  doubt about the validity
of the measurements and  concern  for the cor-
rectness of correlations  and proposed  standards.
  The purpose of this  report is to describe  the
application of analytical quality assurance (AQA)
concepts to  the  qualitative analysis  of  water
samples for trace organics.  The concentration,
isolation, and identification procedures used  in
this  work were  liquid-liquid extraction and  gas
chromatography  — mass spectrometry (GC/MS).
However,  some of the AQA techniques that  are
described also have applicability in other methods
of trace organic  analysis including:  the entrain-
ment of volatiles in an inert gas stream followed
by  trapping  and  GC/MS (1); and  carbon  or
resin adsorption,  extraction, and GC/MS (2).
  The data  used to illustrate  the  AQA were
obtained from five drinking water samples  taken
during January and February 1975. The samples
were  collected  from  Miami,  Florida,  Seattle,
Washington, Philadelphia, Pennsylvania, Cincin-
nati, Ohio, and Ottumwa, Iowa.  The results of
these  analyses are a part of a larger survey of
drinking  water supplies that was conducted  by
several U.S.  Environmental  Protection  Agency
(EPA) laboratories  during  early  1975.   Some
EPA facilities  applied different methodologies of
isolation  and concentration  of the  organic  con-
taminants,  but  GC/MS was always applied for
identification  of individual pollutants.  The  dif-
ferent  methodologies are effective with different
classes of pollutants, but  there is some overlap
between  classes,  which serves as  an  excellent
verification of  certain results.
  The overall  philosophy of the survey was to
analyze for all organic  compounds present in the
samples.   This  is  in  sharp contrast to  many
previous  studies  where  the  approach  was  to
"analyze for" specific materials of interest. Within
this context,  the  emphasis  of the  survey  was
qualitative, i.e., the identification  of  individual
organic compounds in  the water.  Precise meas-
urement of concentration was not a goal of the
survey.  A comprehensive report on  the results
from  all  methodologies was prepared (3).
                                    EXPERIMENTAL
Glassware
  All  laboratory  glassware  was  washed  with
detergent, rinsed with tap water, rinsed with dis-
tilled  water, and air dried.  It was  then  heated
at 400 °C for 1 hour in a muffle furnace.  Samples
were collected in 1-gallon glass jugs supplied with
Teflon cap liners. Sample jugs were washed with
detergent, rinsed with  tap water,  air dried, and
heated to 400 °C for 15 minutes.
Materials
  Anhydrous sodium sulfate (Mallinckrodt Ana-
lytical Reagent) was  used as received.  In one
experiment a batch of  sodium sulfate was placed
in a large soxhlet extractor and extracted  with 2
liters  of hexane/acetone (1:1 v/v) for 24 hours.
The sodium sulfate  was dried at 120°C and used
in normal sample preparation  and in the blanks.
No reduction in the number or size of the con-
taminant peaks was observed.  It was  concluded
that no significant amount of  contamination was
contributed  by  the  sodium  sulfate.   Acetone,
methylene chloride, and diethyl ether were Bur-
dick & Jackson "distilled in glass" and  were used
as received.
Instrumentation
  Mass spectra  were measured with a Finnigan
1015  quadrupole mass spectrometer.  The inlet
system was a Varian Series 1400 gas  chromato-
graph that was interfaced to the.spectrometer by
an  all-glass jet-type enrichment  device and  an
all-glass transfer line. Control of the quadrupole
rod  mass  set  voltages,  data acquisition,  data

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reduction,  and  data  output was accomplished
with  a  System  Industries  data  system  that
employed  a  Digital  Equipment  Corporation
PDP-8/E mini-computer and a  1.6-million-word
Diablo  disk  drive.  Data were  displayed on a
Tektronix  4010 cathode  ray tube  (CRT) or a
Houston plotter.
   The GC column  used  in this study was a 6-ft
(2 mm  ID) coiled glass tube packed with Supel-
coport (80/100 mesh) coated with 1.5%  OV-17
and 1.95% QF-1.  The initial  column tempera-
ture of  60 °C was held for 1.5 minutes, then the
temperature was programmed at 8°C  per minute
to a final temperature of 220°C, which was  held
for 15 minutes. The total run time was approxi-
mately 35  minutes.  Conditions  that  were held
constant  throughout the analyses  were:  helium
carrier gas at a flow rate of about  30 ml per
minute; temperature of the GC injection port at
190°C; the temperatures of  the  interface  and
transfer line  at 210°C; spectrometer manifold
temperature at 100°C; pressure in the MS of 10~5
torr; ionizing voltage of 70 eV; a filament current
of 500/namp; electron multiplier at 3000 volts;
mass  range scanned  from  33-450 amu  at  an
integration  time of  8 msec/amu; and sensitivity
at 10~T amps/volt.
                SCOPE AND  LIMITATION OF THE  METHOD
   The method used applied to all organic com-
pounds present that  are extracted  partially or
completely into the methylene chloride — diethyl
ether solvent.  All  compounds originally present
in  water  at a  concentration of  approximately
10 ng per liter (0.01 ppb) or greater that elute
from the  GC  column  without  decomposition
within 35  minutes will be observed. Very volatile
compounds, e.g., chloroform, vinyl chloride, etc.,
will not be observed as they are either lost during
extract  concentration or masked during solvent
elution from  the GC. For example,  compounds
that are observed include the following: aliphatic
hydrocarbons — Ca  and larger; aromatic hydro-
carbons — benzene  derivatives, biphenyls, alkyl
benzenes, polynuclears, etc.; pesticides — chlori-
nated,  organophosphorus, some carbamates; phe-
nols of all types; PCB's; plasticicers — phthalates,
adipates, and sebacates; and various  other types
of   compounds including  sulfur  compounds,
amines, alcohols,  aldehydes, ketbnes, and some
carboxylic acids.
                                      PROCEDURE
 1.  After measuring the pH of the gallon sample
 (generally pH = 6-8), 3 liters were transferred to
 a  6-liter separatory  funnel.  Fifty  milliliters of
 ethyl ether were  added,  and the  mixture  was
 shaken  for  1  minute.   The  sample was then
 extracted three times with  75-ml  portions of
 methylene  chloride, and  the  extracts were com-
 bined in a  300-ml Erlenmeyer flask. The pur-
 pose  of the ethyl ether  was to  improve the
 extraction  efficiency  of  the more  polar  com-
 pounds  like phenols and acids.

 2.  The  combined extract was  poured  through
 2 inches of anhydrous sodium sulfate in a 19-mm
 ID glass column.  The dried extract was collected
 in a 500-ml Kuderna-Danish  (K-D) flask fitted
 with a  10-ml ampul graduated in 0.1-ml incre-
 ments.  As  an  added precaution, the anhydrous
 sodium   sulfate was  prerinsed   with   100  ml
 methylene chloride to remove soluble impurities.
 For each water  sample,  a parallel experiment
 was conducted  with all  quantities  of  materials
 and procedures exactly the same as the sample
 except that no water or aqueous  solution  was
 employed.  This reagent blank was initiated in
this step by pouring 250 ml of methylene chloride
—  ethyl ether (4:1  v/v) through  2 inches  of
anhydrous sodium sulfate in  a separate  19-mm
ID  glass column.

3.  After  the  combined  extract  or blank had
filtered  through the sodium  sulfate,  the  sodium
sulfate was rinsed with 50 ml of acetone.  This
was done for two reasons: to  rinse  any residual
sample components from  the sodium sulfate, and
to  introduce  a nonchlorinated solvent into  the
sample for GC/MS injection.

4.  The pH of the water layer was then adjusted
to 2.0 using  concentrated HC1 and  steps 1,  2,
and 3 were repeated. In step 1, it was not neces-
sary to  add the ethyl ether a second time.
5.  When the  second  extraction was completed,
the  pH  of the water layer was adjusted to  12.0
using  a saturated  NaOH  solution.  Again steps
1, 2,  and 3  were repeated ignoring  the addition
of ethyl  ether.  The three sample extracts were
now contained in three K-D flasks:  the  neutral
compounds extracted from a  solution of approxi-
mately pH 7, the  acid compounds extracted from
a solution of  pH 2,  and the basic  compounds
extracted from a solution  of pH 12.  The reagent

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blank was in a separate  K- D flask.

6.  A  Snyder column was  fitted  to  each K-D
flask, and the  extracts were concentrated on  a
steam  bath  to  approximately  5 ml.   After con-
centration the methylene chloride (bp = 39.8°C)
was largely  removed and  the  sample was con-
tained  in acetone (bp = 56.1°C).  The  acetone
was used because several microliters of methylene
chloride  will cause an excessive increase in  the
pressure  in   the  mass  spectrometer  and  cause
automatic shut down of  the system.  Up to 8 /j.1
of acetone will not cause this  undesirable situa-
tion as it is removed more efficiently by the en-
richment device.

7.  The extracts were further concentrated  in the
ampul in  a  warm water bath under a stream of
clean, dry nitrogen to 100 ^1 with repeated rins-
ings of the inside of  the ampul.

8.  Five-microliter injections were made into the
GC/MS,  with  data  acquisition  started  after  a
delay of 90  seconds.
                            RESULTS AND DISCUSSION
  Sampling information and results of the water
analyses are given in Table I.  Table II is  a sum-
mary of the application of AQA techniques to the
analyses reported in Table I.
  Most of the concentration  values in Table  I
are  estimates  that  were based  on  conservative
extraction efficiencies and average response fac-
tors.  These estimates  are  probably accurate  to
within a factor of ten.  In a few cases authentic
samples were available and extraction efficiencies
and  response factors were determined.  This per-
mitted better estimates of concentration, and these
results are  probably  accurate  to  better  than
±50%.  In no case was  a  precise concentra-
tion  measurement attempted  by development  of
a calibration curve  with  several standards and
careful  measurement  of  integrated  instrument
signals. High  precision measurements were  be-
yond the scope of this survey.

Analytical Quality Assurance
  The AQA that applies to  qualitative  organic
trace analysis  may be conveniently divided into
four categories:
       (a)  reagent and glassware control;
       (b)  instrumentation  control;
       (c)  supporting experiments;  and
       (d)  data  evaluation.
  Reagent  and glassware control is required  to
minimize the introduction of contamination from
the materials used in the liquid-liquid  extraction
procedure.  Glassware  cleaning procedures have
been  developed and  they  are effective.  High-
quality  commercial  reagents  and  solvents  are
available, but  quality is still  somewhat variable
and  usually unpredictable.  In solvents that  are
used for  extractions, impurities are amplified by
about  a factor of 2000 during extract  concen-
tration. Clearly, if background contaminants that
are introduced from reagents or solvents seriously
obscure compounds  in the sample, purification of
these materials is required.
  Instrumentation control is required to ensure
that  the total operating instrumentation  system
is  calibrated and  in  proper working order.  If
a computerized GC/MS system is used to collect
data, the computer data system must be included
in the performance evaluation.  The recommended
instrumentation  control  procedure   employs  a
standard reference compound and a set of refer-
ence criteria to evaluate the performance of the
overall  system  (4).  This evaluation  should  be
performed  on each day the GC/MS system is
used to  acquire  data  from samples  or reagent
blanks.   The  records  from  the  performance
evaluations should be maintained with the sample
and  reagent blank records  as  permanent  docu-
mentation supporting  the validity of the data.
  The reagent blank is a supporting  experiment
required for all samples. This is true  even when
contamination from glassware and   reagents is
well  controlled.  The reagent blank result  is the
documentation  that proves  that  good  control
was  exercised, and it defines  precisely  the level
of background that was beyond control.
  The reagent blank evaluation may be a straight-
forward comparison of  corresponding peaks  and
mass  spectra in the reagent blank and sample.
A more  rigorous  procedure  is required to make
objective judgments in situations that  are  not
obvious.  An effective technique for comparing
blanks and samples employs  the extracted ion
current profile  (EICP)  of  one or  several  ions.
An EICP is denned as a plot of  the change in
relative abundance of  one or several ions as a
function  of  time (5).  The data for this plot are
extracted from all the  ion  abundance  measure-
ments  made over  the mass  range  observed dur-
ing the eluu'on of the separated components from
the GC.  The EICP produces an apparent increase
in sensitivity by  subtracting from the  total ion
current profile all the  ion  abundance data con-
tributed  from  background, unresolved  compo-
nents,  and other  irrelevant  ions.   The  EICP

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TABLE I.   RESULTS OF ANALYSES USING  LIQUID-LIQUID EXTRACTION  AND GC/MS
Location of
sampling
Miami, Fla.
Miami-Dade Water
& Sewer Authority

Seattle, Wash.
Seattle Water Dept.
Philadelphia, Pa.
Philadelphia Water
Dept.
Cincinnati, Ohio
Cincinnati Water
Works
Ottumwa, Iowa
Ottumwa Water Works
Date
collected
1/20/75



1/27/75

2/3/75


2/11/75


2/17/75

Date
received
1/29/75



2/5/75

2/12/75


2/18/75


2/26/75

Date
extracted
1/31/75



2/10/75

2/18/75


2/19/75


2/28/75

Compounds
identified
bromoform
hexachloroethane
di-n-octyl adipate
nicotine
none

1,2-bis (2-chloroethoxy)-
ethane

dibromochloromethane
isophorone
trimethyl isocyanurate
benzole acid
phenylacetic acid
Approximate
concentration*
/xg/1 (ppb)
0.2
0.07
20.
3.


0.03


0.05
0.02
0.02
15.
4.
   ^Concentrations  are estimated as accurate  to within a factor of ten;  with d-«-octyl adipate, nicotine, and ben-
 zoic acid,  authentic samples were available and the concentrations of these are probably accurate to within ±50%.
     TABLE II.  ANALYTICAL QUALITY  ASSURANCE IN  THE IDENTIFICATION OF
                                             ORGANICS
Compounds
identified
bromoform
hexachloroethane
di-n-octyl adipate

nicotine

l,2-bis(2-chloro-
ethoxy) ethane
dibromochloro-
methane
isophorone

trimethyl
isocyanurate
benzoic acid

phenylacetic acid

In
blank
EICP
no
no
no

no

no

no

no

no

no

no

Spectrum*
matched
NIH
NIH
NIH&
standard
NIH&
standard
NIH

NIH

NIH

NIH

NIH&
standard
NIH

GCt
retention
time
very short
short
matched
standard
matched
standard
not
applicable
very short

not
applicable
not
applicable
matched
standard
not
applicable
Extracted Molecular
fraction ion observed
neutral
neutral
acid same
as standard
base same
as standard
neutral

neutral

neutral

neutral

acid

acid

yes
no
no

yes

no

yes

yes

yes

yes

yes

M-f- 1 ion isotope t
accuracy
Calcd % Found %
Bra pattern
CL> pattem§
not applicable

10.8 12

not applicable

BrzCl pattern

9.7 9.1

6.5 7.2

7.6 7.6

8.6 7.3

Spectrum
checked for
consistent
major
fragments
yes
yes
no

yes

yes

yes

yes

yes

yes

yes

   *The computerized mass spectrum matching system used was developed by the National Institutes of Health (NIH)
 and EPA.
   tPrecise measurements of retention times were not made because of the difficulty of reproducing the initial tem-
 perature conditions exactly.
   tin non-halogen containing compounds, the M-j-1 ion abundance is expressed as a percentage of the molecular ion
 abundance in the calculated and experimental values.
   §The CU pattern was observed in the M-C1 ion.

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generator  is a standard data reduction program
on all modern computerized GC/MS systems.  A
fast graphics display device  is required to facili-
tate reviewing a large number of EICP plots.
  It is emphasized that it is not necessary to have
even a tentative identification of a compound to
apply this technique to reagent blank evaluation.
To  conduct an  EICP  comparison,  the  mass
spectra of all peaks in the sample are examined.
One or several ions that  are prominent in a
spectrum from each peak are selected, and  the
sample and reagent blank EICP's  are generated
on  the CRT.  Comparison  of these permits,  in
most  cases, straightforward  judgments  concern-
ing  the presence of compounds in the sample and
the  reagent  blank.  In Figure 1 is  the EICP  for
mass  171  from a sample and the  corresponding
reagent blank.  Clearly  there is  a  compound
having a mass  171  ion in the sample, but there
is no corresponding peak above the  noise level
in the reagent blank.
  If a  corresponding  peak is observed  in  the
reagent blank and  its concentration, as judged
from the peak height, is  approximately the same
as or exceeds the sample concentration, the deci-
sion is clear  and the compound  must  not  be
reported.  A far more  difficult judgment must
be made when the concentration of a component
in the sample  exceeds  its  concentration  in  the
reagent blank. The material in the sample could,
of course, be a true sample component.  Alterna-
tively,  it has been observed empirically that com-
pounds in the blank sometimes  merely appear
to be at lower concentrations than the same com-
pounds in  the corresponding sample.  In  Figure
2, total ion current profiles for a  sample and a
corresponding reagent blank are shown.  Careful
comparison  of the profiles reveals a  very similar
pattern of peaks and valleys  in certain areas (e.g.,
spectrum numbers 170-190  and 235-245) yet a
significantly lower apparent  concentration in  the
reagent blank. There are several possible reasons
for this.   One  rationalization  is that impurities
in the pure  solvent are adsorbed more efficiently
onto the drying agent and other surfaces, which
creates a purifying effect. With extracts contain-
ing some  water, the wetting effect  of the water
precludes  efficient adsorption on surfaces and  the
impurities are carried on in the solvent.  Alter-
natively,  certain solvent  impurities  may be lost
more  readily from the blank  than  from  the
sample extract during the concentration step. This
may be  caused by the general organic back-
ground matrix in the sample extract which acts
as  a  keeper for  the  solvent impurities.  Both
explanations are  reasonable but unproved.   In
view of the uncertainties,  any compound that is
observed in the sample should not be reported if
it is part  of an  overall  pattern of peaks that is
repeated in the  blank, although at a lower  ap-
parent concentration.
  Chemical ionization, field ionization, and high-
accuracy mass measurements are  GC/MS  tech-
niques capable of generating very strong evidence
in support of identifications.  However,  the pro-
duction of  this  evidence is restricted because
only a relatively few laboratories have developed
capabilities with  these techniques.   High-accuracy
mass measurements are further limited by sample
size, since some  sacrifice in sensitivity is required
to achieve the high accuracy.
  After  a  tentative identification is made,  by
either interpretation or empirical spectrum match-
ing, several other types of  supporting experiments
become possible. The retention time data from
the GC/MS of a pure compound  (standard) may
be compared with  analogous data from  the sam-
ple  component.  Similarly the  mass spectrum of
the standard, obtained under the same conditions
that were used for the sample, may be compared
with the  spectrum of sample component.  The
standard may be  dissolved  in  water at an  ap-
propriate concentration,  extracted, and measured.
The recovery of this spike in the same fraction
that the suspected  component appeared in and
the observation of the same mass spectrum as  the
sample component gave is a strong confirmation
of the correctness of the identification.
  The evaluation  of the data must weigh  the
available evidence  in terms of its  reliability and
determine the cost  and benefits to be gained by
gathering additional information.
  Clearly the most convincing evidence for an
identification is   obtained by  examining  pure
standards that correspond to suspected sample
components.  However, the existence  of this evi-
dence  is constrained  by  the availability of  the
pure standard and  the additional  cost and time
required to  examine it.  Because it is  not usually
possible  to predict which  compounds will  be
found,  some standards  will  not be  available
immediately. There  are  many  very  practical
limitations imposed on the development and main-
tenance of a large library of pure authentic stand-
ards.  Many compounds  are  obtainable  from
fine chemical supply houses, but procurement time
is variable and may extend to weeks  or months.
Some  compounds  are  not  available from  any
supplier, frequently because they are by-products
or  metabolites  of  industrial  processes  rather
than manufactured products.  This same  limita-

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 8

 5L
fe.
 8_
MASS 171 IN REAGENT BLANK
                       MASS 171 IN SAMPLE
       18  20  30
       SPECTJU1
10  SO  60  70  90  30
                    100  HO 120 130
                                    110 ISO  160 170  ISO
                                                    1302932102202303*3350360270280230300318330330
Figure  1.  The extracted ion current profiles of mass 171  from the Cincinnati neutral fraction and  the corresponding reagent  blank.

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                            REAGENT BLANK
    28  30   10
SflECIRf1fO«R
SB  6fl  70   88   90
                                               100  110  120 130 110  ISO  160  170 180 ISO  200  210  238 230  210  250 260 278
Figure  2.  The total ion current profiles for the Philadelphia neutral fraction and the corresponding reagent blank.

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tion of standard availability also precludes careful
concentration  measurements  in  many cases.
  Because of the problem of standard availability,
it is worthwhile to determine whether conditions
could exist that would lead to reliable identifica-
tions without standards. One criteria for a reliable
identification that might be used is a quantitative
measure of the goodness  of match between an
experimental mass spectrum and a spectrum from
the printed literature or a computer-readable data
base.  A  similarity index (SI), calculated  on a
scale from zero to one, has been described (6) and
used in one computerized mass spectrum match-
ing system (7).  Experience with this SI  indicates
that, in general,  a value greater than about four
tenths corresponds to  the existence of a reason-
able match between two mass spectra.
   A  reasonable  match  often  does  imply an
identification, but sometimes it does  not.   It is
well known  that position isomers and members
of  homologous  series  of  compounds  often give
very similar mass spectra.  There is another  unde-
termined  number of compounds that  are simply
not uniquely characterized by their mass spectra.
Figure  3  is the  mass spectrum of an unidentified
compound and  Figure 4 shows the spectrum of
the compound chloropicrin, C1:1CNO.>.  The match
is  clearly good  by  inspection,  and  a  SI  of
0.453  was calculated.  Nevertheless, the  com-
pound  whose spectrum  is  in  Figure  3 is not
chloropicrin  as  determined by the gas chromato-
graphic  behavior  of the unknown  and   pure
chloropicrin.
   Another problem with identifications based on
empirical  spectrum matching is  that significant
differences in  ion  abundance measurements are
sometimes  observed  when  the  mass  spectrum
of  a compound  is measured  on two  different
spectrometers.  Most  of  these  differences  are
probably  caused by non-uniform  calibration pro-
cedures or a failure  to  use an  ion  abundance
calibration procedure. In addition,  it  is well
known  that different types of inlet systems may
have significant effects  on  relative  abundance
measurements.  With a GC of batch inlet system
that  is  generally  operated   in the  100-250°C
temperature  range,  temperature-dependent  frag-
mentations are  promoted with frequent  reduc-
tions in the  abundances  of  molecular and  other
higher  mass  ions. With  a  well-designed  direct
inlet  system,  these  temperature effects  may be
largely  precluded.  As a  result of these factors,
it  is quite common for two  spectra of the  same
compound, measured with  different inlet sys-
tems  or spectrometers, to give  a rather  low SI.
A low SI  may also be caused  by unresolved or
partly resolved components which generate mass
spectra  containing  extraneous  ion  abundance
measurements.
  It is concluded that the SI must be used with
caution.  A  relatively high SI may  be regarded
as an indication of a reasonable match, but only
as suggestive of the probability  of an identifica-
tion.  A relatively  low SI cannot be regarded as
complete rejection.
  Another  criterion  for  reliable identifications
when standards are not available is  based on an
assessment of the quality of the ions in the experi-
mental and reference mass spectra.  In the SI
calculation (6),  molecular ions (M+), molecular
ions having naturally occurring isotopes (typically
M+l),  and all key fragment ions are weighted
the same  as many  very common  fragment  ions.
However,  the  M+, for example,  is  unique in
every mass  spectrum and has significance  to an
identification that far outweighs  most other  ions.
Mass spectra  may be  categorized according to
the quality  of  the  ions observed, and  a quality
index (QI) can be calculated that is a  weighting
factor for the SI. Several categories of quality are:
     (a) The highest quality spectrum  is one in
     which  the molecular ion is observed  and
     the observed  distribution of abundances for
     it and its isotope-containing species is within
     10% of the expected distribution. For this
     spectrum, the QI is  1.0  and the full SI
     value is retained with considerably enhanced
     significance.
     (b) If a  molecular ion is  observed but the
     isotope data  are  not  within  10% of the
     expected  value, lower confidence is assigned
     by a QI of 0.75.
     (c) Failure to observe  a molecular ion but
     observation of key fragments  that account
     for all the atoms of the molecular ion  sug-
     gests a QI of 0.5.  This index may be raised
     or lowered between 0.4 and 0.6 depending
     on the observation of consistent isotope data
     in the  key fragment ions.
     (d) Finally, the  lowest confidence is placed
     on spectra which  do not  contain adequate
     fragment ions to account for all the atoms
     of the molecular ion.  A  QI of  0.1  is as-
     signed  to these spectra.
   It is recognized that  position isomers may not
be  distinguishable  under any circumstances, but
this is often true even  when pure standards are
available.
   The QI  is  amenable  to additional positive
adjustments by 0.1-0.2 QI units if  all major
fragment  ions  are  scrutinized and found to be
reasonable  and compatible with  the assigned

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     SPECTRUM NUMBER 161   - 159
g
8.
      CINCINNATI NEUTRflL
R-
o
                i*
 4JJ
   20   30   40   SO
        M/ E
•i" i   I— •   |- I— |   i
 60   70   80   90
100  110  120  130   140  150  160  170  180
             Figure 3.  The mass spectrum of a compound found in the Cincinnati neutral fraction.

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g
OLOROPICRIN STfNHD
8.
8.
jJO
flcD-
feS.
h
e8-
8.
e>
0
















1
y,







i









i

















Illlllllllilllllllllllllllllll 1








NimlilmiiiiMiiiiiiiMiilimlmiimimlimliiimimiiiii

LO
j
.8
1
:
-LO


- E)
20    30   10    SO
      M/ E
                   60   70   80   90   100  110  120  130
                                                                          ISO  160  170   180  190
                       Figure 4.  The mass spectrum of the compound chloropicrin, C1.{CNO2.

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structure.  Reasonableness  should  be  based on
compatibility  with  the  accepted  principles  of
fragmentation of organic ions in the gas phase.
With  magnetic  deflection  spectrometers,  addi-
tional  fractional  quality  points may  be added if
fragmentations are supported by the observation
of  ions  from  the  decomposition  of metastable
ions.
   Good  spectrum  matches  that have a  QI  of
0.75-1.0  are  considered  reliable  identifications
when pure standards are not available.

Application of Analytical Quality Assurance
   Concepts
   These  AQA  concepts  were  applied  to  the
analyses  reported in Table I.  Table  II summarizes
the results  of the tests.  Bromoform,  nicotine,
dibromochloromethane,  isophorone,  trimethyl
isocyanurate, benzoic acid, and phenylacetic acid
were  not found  by EICP  in the  corresponding
reagent blanks and each gave spectra  that were
good  matches by inspection with spectra  in  the
National Institutes  of  Health data base (7).  In
each  spectrum the molecular ion  was observed
and the M++1 isotope accuracy or halogen iso-
tope abundance  distribution pattern was  within
the expected experimental  error (4).  In addition
each  compound  was  extracted  in  the expected
fraction,  the most volatile of the set gave  short
or  very  short retention times, and  all  the frag-
ments  in  the mass spectra  were  reasonable and
consistent with  the  assigned  structure.  On  the
basis  of  this evidence, these seven  identifications
were considered firm without recourse to authen-
tic standards.  Standards of two of the compounds
were  readily available, and  these  were used to
supply additional supporting evidence.
  Hexachloroethane gave a very good  spectrum
match  by  inspection  and  an  expected  short
retention  time;  also,  it  was  extracted  in  the
appropriate  fraction.  The  molecular  ion  was
not  observed,  but  ions  were  observed  with
halogen  isotope  distribution  patterns  that cor-
responded  to the  C2C15,  C,C14,  C2C1.<,  C,C12,
and CCl.t ions.  Therefore,  a consistent set of
fragment  ions was observed  and these account
for all the atoms of the proposed structure. The
only other  reasonable possibility for this  peak
was pentachloroethane, and the  recorded  spec-
trum of this in the NIH data base did not exhibit
a C,HC1S molecular ion.
  The compound di-n-octyl adipate was  tenta-
tively identified by the empirical matching pro-
cedure. However, no molecular ion  was  observed.
and the complexity of the fragmentation pattern
precluded a rapid determination of its consistency
with the  proposed  structure.  This is a  clear
 example of a spectrum  that contains inadequate
 information to  permit an accurate identification
 without  a pure  reference  standard.  The com-
 pound was found in the acid fraction,  and this
 also  aroused  suspicion  about its  identity since
 dioctyl  adipate  might be expected  to appear  in
 the neutral fraction.
   A  sample  of octyl  decyl  adipate containing
 di-w-decyl and  di-«-octyl-impurities was  avail-
 able  in  the  laboratory. This  was dosed into
 laboratory tap water and extracted according  to
 the method.  All the adipates were found in the
 acid fraction as was  the adipate that was  found  in
 the  Miami water  sample.   The  retention time
 for dioctyl adipate was within experimental error
 of the  retention time of the compound  in the
 Miami water,  and the observed spectrum was the
 same as  the  sample spectrum.  This  evidence
 strongly  supports the identification as being that
 of an authentic contaminant.  Its origin may be
 from vinyl plastic garden hose and similar  mate-
 rials that are in  widespread  use.
   The  compound   l,2-bis(2-chloroethoxy)ethane
 (C,,H,.,O,C1,)  gave a spectrum  that was  in ex-
 cellent agreement with the  spectrum in  the data
 base. Again, no molecular ion was observed and
 a  reference standard  was  not  available.   How-
 ever, the fragment ions at masses 63, 65 (C.,H4C1),
 93, 95 (C,HHOC1), and  107, 109 (QH.OCl) ac-
 count for all the atoms in the compound and are
 consistent with the assigned  structure.  Two addi-
 tional ions at masses 137  and  139 correspond
 to the loss of a CH,-C1 group from the molecular
 ion.   The overall evidence  strongly supports the
 identification.
   Seven other peaks were detected, but  no com-
 pounds are reported because inadequate  evidence
 was  available to  permit reliable identifications.
 Three of these  appeared to be  the same  com-
 pound, and the available information about them
is  an excellent  example of the  application  of
 the AQA  concepts.  Peaks were  found at the
 same retention time  near the detection  limit of
 10 ng per liter (ppt) in the neutral fractions from
Miami,  Cincinnati,  and  Philadelphia.  The  three
 mass  spectra  were  essentially the  same  except
for variations  in the abundance  of the  common
background ion  at mass 43 (C;H7)  and several
 other weak ions.  The spectrum of the compound
in the Cincinnati fraction is shown in Figure  3.
 As previously  discussed,  this spectrum is a good
match of the spectrum of chloropicrin in Figure
 4.  However,  since  the  molecular  ion  was not
 observed, interpretation  of  the  match  must  be
 made with caution.  The ions  at  masses 117.
 119,  and 121  clearly indicate the  presence of a
                                               11

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CC13 group, and this is  supported  by the CCL
ions at masses 82, 84, and 86 and  the CCl ions
at masses 47 and 49. But there is no ion that
clearly points to  an N(X group, and the spectrum
therefore fails to  account for all  the atoms of
the  proposed structure.  Under these circum-
stances  an  authentic standard was required to
obtain additional information. Pure chloropicrin
was shown  to elute  much earlier than the com-
pounds in the three neutral fractions.  Therefore,
although this compound contains a CCl,  group,
it remains unidentified at this time.  There  are
small  ions at masses  103 and 145 in  all three
spectra; these  suggest the saturated  oxygenated
hydrocarbon ions  C5H1:tOj, and  CRH17O2. This
compound appears similar to the l,2-bis(2-chloro-
ethoxy)ethane found in  the Philadelphia  neutral
fraction: it has a longer  chain and more chlorine
and may be an intermediate in the formation of
the ubiquitous chloroform (1). A chemical ioni-
zation  mass spectrum may  provide  a valuable
insight into the identity of this compound.
                                      CONCLUSION
   AQA is required in identifying as well  as
 measuring the concentration  of  trace organics.
 The guidelines based on spectrum similarity and
the quality of the ions found in the measured
mass  spectrum are a reasonable basis for eval-
uating the reliability of an identification.
                                      REFERENCES
 (1) T. A. Bellar and J. J. Lichtenberg, J. Amer.
    Water Works Ass., 66, 739  (1974).

 (2) G.  A. Junk, H. J.  Svec, R.  D. Vick, and
    M. J. Avery, Environ. Sci. Technol.,  8, 1100
    (1974).

 (3) USEPA,  Office of  Toxic  Substances.  Pre-
    liminary assessment of suspected carcinogens
    in drinking water.  Interim  Report to Con-
    gress, June  1975.
 (4) J. W. Eichelberger, L. E. Harris, and W. L.
    Budde, Anal. Chem., 47, 995 (1975).

 (5) R. A. Hites and K. Biemann,  Anal. Chem.,
    42,  855 (1970).

 (6) H. S. Hertz, R. A.  Hites, and K. Biemann,
    Anal. Chem., 43, 681  (1971).

 (7) S.  R. Heller,  J. M.  McGuire, and  W. L.
    Budde, Environ. Sci. Technol., 9, 210 (1975).
                                               12

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                                    TECHNICAL REPORT DATA
                            (Please read Instructions on the reverse before completing)
 1. REPORT NO.
   EPA-600/4-75-007
                                                            3. RECIPIENT'S ACCESSIOWNO.
4. TITLE AND SUBTITLE
   ANALYTICAL QUALITY ASSURANCE  FOR TRACE ORGANICS
   ANALYSIS BY  GAS CHROMATOGRAPHY/MASS SPECTROMETRY
               5. REPORT DATE
                 September 1975 ("Issuing Date
               6. PERFORMING ORGANIZATION CODE
7. AUTHOR(S)
   James W. Eichelberger, William  M.  Middleton, and
   William L.  Budde
                                                            8. PERFORMING ORGANIZATION REPORT NO.
9. PERFORMING ORGANIZATION NAME AND ADDRESS
   Environmental  Monitoring and  Support Laboratory
   Office of  Research and Development
   U.S. Environmental Protection Agency
   Cincinnati,  Ohio  45268
               10. PROGRAM ELEMENT NO.
                 1BA027; ROAP 09ABZ; Task 001
               11. CONTRACT/GRANT NO.
 12. SPONSORING AGENCY NAME AND ADDRESS
   Same as above
                                                            13. TYPE OF REPORT AND PERIOD COVERED
                                                              In-house
                                                            14. SPONSORING AGENCY CODE
                                                              EPA-ORD
 15. SUPPLEMENTARY NOTES
 16. ABSTRACT
   Analytical  Quality Assurance  concepts are applied to the qualitative analysis of
   drinking water supplies for trace organics by  liquid-liquid extraction and gas
   chromatography - mass spectrometry.   Some of these concepts are  also applicable to
   other methods  of analysis.
17.
                                KEY WORDS AND DOCUMENT ANALYSIS
                  DESCRIPTORS
                                               b.lDENTIFIERS/OPEN ENDED TERMS
                             c. COSATI Field/Group
   Potable water
   Quality assurance
   Solvent extraction
   Gas chromatography
   Chromatographic analysis
   Mass spectroscopy
   Qualitative analysis
  Finished  water analysis
  Analytical  procedures
  Reagent blank interpre-
    tation
  Finished  water
  Trace organics
  Gas chromatography -
    mass spectrometrv
13B
13. DISTRIBUTION STATEMENT
   RELEASE TO PUBLIC
                                               19. SECURITY CLASS (ThisReport)
                                                   UNCLASSIFIED
                             21. NO. OF PAGES

                                    17
  20. SECURITY CLASS (Thispage)
      UNCLASSIFIED
                                                                          22. PRICE
EPA Form 2220-1 (9-73)
13
                                                               ftUSGPO: 1975 — 657-695/5307 Region 5-11

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