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A physiological model to predict xenobiotic concentrations in fishes Yang, Rong
Abstract
A physiological model was developed to estimate fish body toxicant load based on
information regarding the chemical exposure regime, fish body weight, lipid content and
oxygen uptake. Three organic compounds of different hydrophobicity, 1,2,4,5-
tetrachlorobenzene (TeCB), 3,4,5,6-tetrachloroguaiacol (TeCG) and 4,6-dichlorobenzenediol
(DBD), were chosen as the test chemicals to carry out a series of investigations before an
overall model was assembled. The primary focus of the model was to incorporate
physiological components into traditional compartmental models in order to avoid the
difficulties associated with complex conventional physiological models. The approach taken
was to predict rate constants based on fish oxygen consumption, a parameter speculated, and
subsequently shown, to be closely correlated to toxicant transfer in fish.
A significant correlation was found between the toxicant uptake process, as
characterized by the uptake rate constant (k1), and fish oxygen consumption, regardless of fish
size and species. Moreover, the correlation was improved when fish toxicant body load was
expressed on a percent body lipid basis. Similarly, fish toxicant depuration tests showed that
there also existed a significant relationship between the toxicant depuration rate constant (k2)
and fish oxygen uptake regardless of the differences in the chemical octanol/water partition
coefficients (Kow ) .
The finding that the chosen test compounds did not interfere with fish oxygen
consumption after prolonged sublethal exposure justified the use of oxygen uptake as an
indicator for fish toxicant transfer and, as equally important, the utilization of a large fish
oxygen consumption database (OXYREF) in the proposed chemical modeling. A series of
feeding experiments were also carried out and it was concluded that fish toxicant transfer
across the gills plays a dominant role in the toxicant accumulation and depuration of non-metabolized
chemicals in fish. Uptake of these toxicants in the food was negligible in
determining body burden.
In view of the above findings a general model was tested in which OXYREF was used
to predict fish toxicant body burden. Based on the quantitative analysis, it was shown that the
model was reliable and accurate in estimating fish body burden of a number of non-metabolized
aquatic toxicants. Values calculated using this model agreed with most
determinations reported in the literature. Despite the restrictions and preconditions associated
with this physiological model, its main advantage over other compartmental or physiological
models lies in the fact that the prediction is based on the actual physiological processes, and
fish oxygen consumption rate is far easier and accurate to measure than other physiological
parameters even in the absence of the OXYREF. This modified model possesses some
functional reality which enables more realistic predictions, making it useful for aquatic
environmental risk assessment.
Item Metadata
| Title |
A physiological model to predict xenobiotic concentrations in fishes
|
| Creator | |
| Publisher |
University of British Columbia
|
| Date Issued |
1997
|
| Description |
A physiological model was developed to estimate fish body toxicant load based on
information regarding the chemical exposure regime, fish body weight, lipid content and
oxygen uptake. Three organic compounds of different hydrophobicity, 1,2,4,5-
tetrachlorobenzene (TeCB), 3,4,5,6-tetrachloroguaiacol (TeCG) and 4,6-dichlorobenzenediol
(DBD), were chosen as the test chemicals to carry out a series of investigations before an
overall model was assembled. The primary focus of the model was to incorporate
physiological components into traditional compartmental models in order to avoid the
difficulties associated with complex conventional physiological models. The approach taken
was to predict rate constants based on fish oxygen consumption, a parameter speculated, and
subsequently shown, to be closely correlated to toxicant transfer in fish.
A significant correlation was found between the toxicant uptake process, as
characterized by the uptake rate constant (k1), and fish oxygen consumption, regardless of fish
size and species. Moreover, the correlation was improved when fish toxicant body load was
expressed on a percent body lipid basis. Similarly, fish toxicant depuration tests showed that
there also existed a significant relationship between the toxicant depuration rate constant (k2)
and fish oxygen uptake regardless of the differences in the chemical octanol/water partition
coefficients (Kow ) .
The finding that the chosen test compounds did not interfere with fish oxygen
consumption after prolonged sublethal exposure justified the use of oxygen uptake as an
indicator for fish toxicant transfer and, as equally important, the utilization of a large fish
oxygen consumption database (OXYREF) in the proposed chemical modeling. A series of
feeding experiments were also carried out and it was concluded that fish toxicant transfer
across the gills plays a dominant role in the toxicant accumulation and depuration of non-metabolized
chemicals in fish. Uptake of these toxicants in the food was negligible in
determining body burden.
In view of the above findings a general model was tested in which OXYREF was used
to predict fish toxicant body burden. Based on the quantitative analysis, it was shown that the
model was reliable and accurate in estimating fish body burden of a number of non-metabolized
aquatic toxicants. Values calculated using this model agreed with most
determinations reported in the literature. Despite the restrictions and preconditions associated
with this physiological model, its main advantage over other compartmental or physiological
models lies in the fact that the prediction is based on the actual physiological processes, and
fish oxygen consumption rate is far easier and accurate to measure than other physiological
parameters even in the absence of the OXYREF. This modified model possesses some
functional reality which enables more realistic predictions, making it useful for aquatic
environmental risk assessment.
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| Extent |
5088595 bytes
|
| Genre | |
| Type | |
| File Format |
application/pdf
|
| Language |
eng
|
| Date Available |
2009-03-27
|
| Provider |
Vancouver : University of British Columbia Library
|
| Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
|
| DOI |
10.14288/1.0088004
|
| URI | |
| Degree (Theses) | |
| Program (Theses) | |
| Affiliation | |
| Degree Grantor |
University of British Columbia
|
| Graduation Date |
1997-05
|
| Campus | |
| Scholarly Level |
Graduate
|
| Aggregated Source Repository |
DSpace
|
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Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.