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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Environmental Toxico...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Environmental Toxicology and Chemistry
Article . 2009 . Peer-reviewed
License: Wiley Online Library User Agreement
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Methods for estimating the bioconcentration factor of ionizable organic chemicals

Authors: Wenjing, Fu; Antonio, Franco; Stefan, Trapp;

Methods for estimating the bioconcentration factor of ionizable organic chemicals

Abstract

Abstract The bioaccumulation potential is an important criterion in risk assessment of chemicals. Several regressions between bioconcentration factor (BCF) in fish and octanol-water partition coefficient (KOW) have been developed for neutral organic compounds, but very few approaches address the BCF of ionizable compounds. A database with BCFs of 73 acids and 65 bases was collected from the literature. The BCF estimation method recommended by the Technical Guidance Document (TGD) for chemical risk assessment in the European Union was tested for ionizing substances using log KOW (corrected for the neutral species, log[fn·KOW]) and log D (sum of log KOW of neutral and ionic molecule, apparent log KOW) as predictors. In addition, the method of Meylan et al. (Environ Toxicol Chem 1999; 18:664–672) for ionizable compounds and a dynamic cell model based on the Fick-Nernst-Planck equation were tested. Moreover, our own regressions for the BCF were established from log KOW and pKa. The bioaccumulation of lipophilic compounds depends mainly on their lipophilicity, and the best predictor is log D. Dissociation, the pH-dependent ion trap, and electrical attraction of cations impact the BCF. Several methods showed acceptable results. The TGD regressions gave good predictions when log(fn·KOW) or log D were used as a predictor instead of log KOW. The new regressions to log KOW and pKa performed similarly, with mean errors of approximately 0.4. The method of Meylan et al. did not perform as well. The cell model showed weak results for acids but was among the best methods for bases.

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Keywords

Environmental Exposure, Hydrogen-Ion Concentration, Models, Biological, Risk Assessment, Electrolytes, Models, Chemical, Animals, Humans, Environmental Pollutants, Organic Chemicals, Environmental Monitoring

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
132
Top 1%
Top 10%
Top 10%
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