United States
                    Environmental Protection
                    Agency
 Environmental Research
 Laboratory
 Athens GA 30613
                    Research and Development
EPA-600/S3-84-043  May 1984
&EPA         Project  Summary

                    Microbial  Transformation
                    Kinetics  of  Xenobiotics  in
                    Aquatic   Environment
                    J. E. Rogers, S-m. W. Li, and L. J. Felice
                      Valid second-order rate equations will
                    permit the wider use of mathematical
                    models for predicting the persistence of
                    organic chemicals in fresh and marine
                    waters. In the laboratory study, the
                    microbiological transformations of the
                    butoxyethylester of 2,4-dichlorophe-
                    noxyacetic acid (2,4-DBE), p-cresol, a-
                    naphthol and quinoline were examined
                    to determine whether their degradation
                    rates  are  reasonably described  by
                    second-order rate equations. Graphical
                    analysis of the data with first-order log
                    plots indicated that quinoline, p-cresol,
                    and a-naphthol were only transformed
                    following  a lag phase. The lag period
                    was followed by a transformation phase
                    where the detectable decrease in com-
                    pound concentration could be described
                    by a pseudo first-order  rate equation
                    and for which pseudo first-order rate
                    constants could  be determined. The
                    transformation of  2,4-DBE, however,
                    occurred immediately upon addition of
                    the compound to sample waters.
                      Much of the variability in first-order
                    constants for the different compounds
                    could be accounted for in the range of
                    average  bacterial  populations,
                    measured  during  the transformation
                    phase, that were  used to calculate
                    second-order rate  constants.  Second-
                    order rate constants were clustered into
                    groups  that  were  statistically
                    different. Within all but two groups the
                    range in first-order rate constants was
                    greater than the range in second-order
                    constants.
                      Results  of  the  study support the
                    usefulness of the second-order trans-
                    formation  kinetics  concept for
                    describing the microbial transformation
of organic chemicals  in the aquatic
environment. The research points to a
continuing need for efforts in the area of
quantitative kinetic approaches to the
predictive modeling of microbiological
transformation in the environment.
  This Project Summary was developed
by  EPA's  Environmental  Research
Laboratory, Athens,  GA, to announce
key findings of the research project that
is fully documented in a separate report
of the same title (see Project Report
ordering information at back).

Introduction
  Estimates of the degradation rates and
thus  the  persistence  of  organic
compounds in a  wide range of aquatic
environments require an  in-depth
understanding of the  microbiological
transformation  pathways  (reaction
sequences) of major compound classes
and the effects  of  physical-chemical
(environmental) parameters as well as
microbiological population dynamics on
the rates of these reactions. Although not
complete,  a  wealth  of  information
describing  the  metabolism  of major
compound classes, especially in the area
of aerobic degradation, is available in the
scientific  literature.  Anaerobic
metabolism has not been characterized to
the same degree,  however
  The  microbiological degradation and
transformation  rates  of  numerous
organics  have  been  determined in
environmental samples. Unfortunately,
much of this data base is sample specific
and not transferable to other sites. Only
in recent years have attempts been made
to quantitate these rates so that they can
be used to  estimate the persistence of

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specific  organics  in  a  range  of
environments. These recent studies have
led to the development of mathematical
models   to   estimate  persistence  of
organics.
  The continued development  of viable
predictive models of the  degradation of
organic  compounds in the environment
requires the interactions of the following
two research areas:

  • The development of environmentally
    applicable mathematical representa-
    tions of the microbiological  pro-
    cesses  involved in the transforma-
    tion  and ultimate degradation  of
    organic compounds

  • The design and development of pro-
    cedures to produce laboratory data
    compatible with the mathematical
    representations

  Previously, these areas have developed
independently in many respects  In the
future,  as microbiological degradation
models  become more sophisticated, it is
essential  that the  two  areas  be
investigated in  an  interactive  manner,
each process being  directed, in turn, by
the other as  new information  and
methodologies are developed.  This will
ensure  the  most  rapid  and complete
development of useful  microbiological
models.
  This  research  approach  does  not
preclude  theoretical studies.  Models,
however, are generally of little  practical
value  when  no consideration is given to
the availability of  laboratory  data  to
exercise the model,  or  worse,  if no
consideration is given to the development
of laboratory techniques  to provide the
data. Also of little value are degradation
studies  in which the usefulness of the
data as  input for available or developing
computer  models  has  not  been
considered.
  Continued  efforts to integrate these
two research areas will  lead  to better
microbiological  models  and  a  better
understanding of microbiological  degra-
dation in the environment. An important
first step in this direction has been to use
second-order rate  equations  (i.e., the
product  of a second-order rate constant, a
bJomass  term  and   the  compound
concentration) to describe the microbio-
logical  transformation  of organics  in
fresh  and marine waters.
  The potential utility  of second-order
equations arises from  the aspect  that,
once reliable second-order rate constants
are available, the transformation rates at
specific study sites can be estimated with
reasonable  accuracy  from  measure-
ments of the biomass (bacteria). In most
cases, these estimates are markedly less
costly  and  labor  intensive  than the
experimental  determination  of the
transformation rate. Ultimately, the utility
of  second-order   rate  constants  and
equations in predicting the transforma-
tion rates of organics will depend on the
reproducibility  of   second-order  rate
constants experimentally determined  in
different laboratories and on the range of
compound types for which second-order
rate   equations  will   describe  their
transformation in aquatic environments.
  In this study, the microbiological trans-
formation  of  a  series  of  organic
substrates was examined to determine
whether their rates of degradation are
reasonably described by second-order
equations.  The compounds   were n-
naphthol, qumoline, p-cresol, and the
butoxyethylester of 2,4-dichloropheno-
xyacetic acid.

Discussion
  The   microbiological  transformation
rates  of the four  organic  compounds
added to natural water  samples were
examined in  the  laboratory.  Graphical
analysis  of the data with first-order log
plots  indicated that transformation  of
these  compounds  occurred  in  two
phases.  The initial  phase consisted of a
lag period during which no decrease  in
compound  concentration  could  be
detected.  Quinoline,  p-cresol,  and a-
naphthol,  were  only  transformed
following a lag phase. The transformation
of 2,4-DBE occurred immediately upon
addition  of  the compound  to sample
waters. The lag period was followed by a
transformation   phase  where  the
detectable decrease  in compound con-
centration could be described by a psuedo
first-order rate equation  and  for which
psuedo  first-order  constants could be
determined.
  The variability in first-order constants
for the different compounds ranged from
a low of  13.6-fold for 2,4-DBE to a high of
185-fold for  quinoline.  Much  of the
variability could be accounted for in the
range in average bacterial populations,
measured  during  the  transformation
phase,  that  were  used  to   calculate
second-order rate constants and from the
observation   that   second-order  rate
constants could be clustered into groups
that were statistically different.
  The variability of second-order con-
stants within these groups ranged from
1.18- to 36.14-fold,  whereas the first-
order constants ranged from  1.24-  to
184.71-fold. Within all but two groups,
the range  in first-order  rate constants
was greater than the range in second-
order constants.
  Comparison of the second-order rate
constants for 2,4-DBE and p-cresol and
the second-order constants  reported in
an  independent  study  indicated that,
although the mean values were markedly
different, the standard deviations were
remarkably close in all cases. Either of
two possible explanations can account
for the difference in these values: there is
a systematic difference between labora-
tory procedures or there were significant
differences in the microbial populations
in waters sampled by each of the labora-
tories and the differences are real.
  Before  a  detectable  decrease  in
compound  concentration   could  be
measured  for  three  of   the  four
compounds examined,  a significant lag
period was observed. This lag could have
importance  in  the  approach  used  in
computer modeling of compounds that
behave in this manner.
  One  of  the  primary interests  in
developing  site  independent  second-
order rate constants has been their use in
exposure  assessment  modeling. The
reproducibility  of these constants for a
number of compounds observed in our
work and that of others emphasizes their
utility in exposure assessment. The role
of  microbiological   transformation  or
degradation  of xenobiotics,  however,
cannot  be  limited only to second-order
constants. The  observation that second-
order  rate  constants fall into  groups
suggests that the rate of transformation
of xenobiotics  in the environment may
require a probability distribution function
(i.e., transformation models may need to
have  a  random  variable format). The
conservative alternative would be simply
to  use  the smallest second-order rate
constant  determined  for   a  given
compound.
  Although more data  are needed with
different sites and different compounds,
these  results do  offer significant
encouragement for prediction of microb-
ial  transformation  rates  in  natural
systems.

Recommendations
  A continued  research effort in this
area, which is a "kinetic approach" to the
predictive modeling  of  microbiological
transformations  in  the  environment,
should  address the  areas of adaption
kinetics, reaction kinetics, and quantita-
tion of biomass. Biomass is important in
extrapolations from  basic  research

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models to widely  applicable predictive
models that are normally constructed to
use readily available or easily attainable
data.  For example, a compound-specific
biomass measure can now be obtained by
using  a  most-probable-number
technique for enumerating microorgan-
isms.  The  technique  incorporates 14C-
labeled  substrates.  In  time,  this
procedure  may  displace  the  standard
pour-plate methods currently being used.
  Where second-order rate equations are
applicable, the "kinetic approach" has
rested on the ability of laboratory studies
to determine an average second-order
rate constant, using a number of different
waters  with  different  microbial
populations. The average rate constants
could  then be used to predict degradation
rates  at other sites  if the microbial popu-
lation and organic  substrate concentra-
tions  are known.
  This approach also can be used when
the degradation rate is described by alter-
native mathematical  expressions.  For
example, if  the  Michaelis-Menten
equation were used, one would simply
determine  the average values for  Km,
Vmax,  and the bacterial population of  a
number of waters  and then use these
average values to  estimate degradation
rates  in other waters where the substrate
concentration and  bacterial populations
are known.  The  bacterial population in
this case is used to set the value of Vmax
from an average specific activity term (sp.
act.   =  Vmax/bacterial  population)
determined  in  the  initial  evaluation
studies. Similar examples can be derived
from other mathematical  expressions of
the degradation rate.
John E. Rogers. Shu-mei W. Li, and Lawrence J. Felice are with Battelle, Pacific
  Northwest Laboratories, Rich/and, WA 99352.
William C. Steen is the EPA Project Officer (see below).
The complete report, entitled "Microbial Transformation Kinetics of Xenobiotics in
  Aquatic Environment," (Order No. PB 84-162 866; Cost: $13.00. subject to
  change) will be available only from.
       National Technical Information Service
       5285 Port Royal Road
       Springfield, VA22161
       Telephone: 703-487-4650
The EPA Project Officer can be contacted at:
       Environmental Research Laboratory
       U S. Environmental Protection Agency
       College Station Road
       Athens,  GA 30613
                                   U S GOVERNMENT PRINTING OFFICE. 1984 — 759-015/7695

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