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Bioconcentration model for non‐ionic, polar, and ionizable organic compounds in amphipod
Author(s) -
Chen Ciara Chun,
Kuo Dave Ta Fu
Publication year - 2018
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.4081
Subject(s) - bioconcentration , chemistry , partition coefficient , environmental chemistry , reaction rate constant , ceriodaphnia dubia , bioaccumulation , kinetics , chromatography , toxicity , organic chemistry , acute toxicity , physics , quantum mechanics
The present study presents a bioconcentration model for non‐ionic, polar, and ionizable organic compounds in amphipod based on first‐order kinetics. Uptake rate constant k 1 is modeled as log k 1 = 10.81 log K OW + 0.15(root mean square error [RMSE] = 0.52). Biotransformation rate constant k M is estimated using an existing polyparameter linear free energy relationship model. Respiratory elimination k 2 is calculated as modeled k 1 over theoretical biota–water partition coefficient K biow considering the contributions of lipid, protein, carbohydrate, and water. With negligible contributions of growth and egestion over a typical amphipod bioconcentration experiment, the bioconcentration factor (BCF) is modeled as k 1 /( k M + k 2 ) (RMSE = 0.68). The proposed model performs well for non‐ionic organic compounds (log K OW range = 3.3–7.62) within 1 log‐unit error margin. Approximately 12% of the BCFs are underpredicted for polar and ionizable compounds. However, >50% of the estimated k 2 values are found to exceed the total depuration rate constants. Analyses suggest that these excessive k 2 values and underpredicted BCFs reflect underestimation in K biow , which may be improved by incorporating exoskeleton as a relevant partitioning component and refining the membrane–water partitioning model. The immediate needs to build up high‐quality experimental k M values, explore the sorptive role of exoskeleton, and investigate the prevalence of k 2 overestimation in other bioconcentration models are also identified. The resulting BCF model can support, within its limitations, the ecotoxicological and risk assessment of emerging polar and ionizable organic contaminants in aquatic environments and advance the science of invertebrate bioaccumulation. Environ Toxicol Chem 2018;37:1378–1386. © 2018 SETAC