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Development and evaluation of a mechanistic bioconcentration model for ionogenic organic chemicals in fish
Author(s) -
Armitage James M.,
Arnot Jon A.,
Wania Frank,
Mackay Don
Publication year - 2013
Publication title -
environmental toxicology and chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 171
eISSN - 1552-8618
pISSN - 0730-7268
DOI - 10.1002/etc.2020
Subject(s) - bioconcentration , sorption , chemistry , environmental chemistry , partition coefficient , biotransformation , fish <actinopterygii> , bioaccumulation , chromatography , organic chemistry , biology , adsorption , fishery , enzyme
A mechanistic mass balance bioconcentration model is developed and parameterized for ionogenic organic chemicals (IOCs) in fish and evaluated against a compilation of empirical bioconcentration factors (BCFs). The model is subsequently applied to a set of perfluoroalkyl acids. Key aspects of model development include revised methods to estimate the chemical absorption efficiency of IOCs at the respiratory surface ( E W ) and the use of distribution ratios to characterize the overall sorption capacity of the organism. Membrane–water distribution ratios ( D MW ) are used to characterize sorption to phospholipids instead of only considering the octanol–water distribution ratio ( D OW ). Modeled BCFs are well correlated with the observations (e.g., r 2  = 0.68 and 0.75 for organic acids and bases, respectively) and accurate to within a factor of three on average. Model prediction errors appear to be largely the result of uncertainties in the biotransformation rate constant ( k M ) estimates and the generic approaches for estimating sorption capacity (e.g., D MW ). Model performance for the set of perfluoroalkyl acids considered is highly dependent on the input parameters describing hydrophobicity (i.e., log K OW of the neutral form). The model applications broadly support the hypothesis that phospholipids contribute substantially to the sorption capacity of fish, particularly for compounds that exhibit a high degree of ionization at biologically relevant pH. Additional empirical data on biotransformation and sorption to phospholipids and subsequent incorporation into property estimation approaches (e.g., k M , D MW ) are priorities with respect to improving model performance. Environ. Toxicol. Chem. 2013;32:115–128. © 2012 SETAC

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