Literature DB >> 17727915

A new twist on an old regression: transfer of chemicals to beef and milk in human and ecological risk assessment.

A Jan Hendriks1, Hana Smítková, Mark A J Huijbregts.   

Abstract

Exposure of humans to chemicals in beef or milk is part of almost all risk evaluation procedures carried out to reduce emissions or to remediate sites. Concentrations of substances in these livestock products are often estimated using log-log regressions that relate the biotransfer factor BTF to the octanol-water partition ratio K(ow). However, the correctness of these empirical correlations has been questioned. Here, we compare them to the mechanistic model OMEGA that describes the distribution of substances in organisms by integrating theory on chemical fugacity and biological allometry. OMEGA has been calibrated and validated on thousands of laboratory and field data, reflecting many chemical substances and biological species. Overall fluxes of water, food, tissue (growth), milk and stable substances calculated by OMEGA are within a factor of two from independent data obtained in experiments. Rate constants measured for elimination of individual compounds of a recalcitrant nature vary around the level expected from the model for output to faeces and milk. Both data and model suggest that biotransfer BTF of stable substances to beef and milk is independent of the octanol-water partition ratio K(ow) in the range of 10(3)-10(6). This contradicts empirical regressions including stable and labile compounds. As expected, levels of labile substances vary widely around a tentative indication derived from the model. Transformation and accumulation of labile substances remains highly specific for the chemical and organism concerned but depends weakly on the octanol-water partition ratio K(ow). Several possibilities for additional refinement are identified.

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Year:  2007        PMID: 17727915     DOI: 10.1016/j.chemosphere.2007.07.030

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  2 in total

1.  Performance of the CalTOX fate and exposure model in a case study for a dioxin-contaminated site.

Authors:  Annika Åberg; Matthew MacLeod; Karin Wiberg
Journal:  Environ Sci Pollut Res Int       Date:  2015-01-10       Impact factor: 4.223

2.  Modelling the bioaccumulation of persistent organic pollutants in agricultural food chains for regulatory exposure assessment.

Authors:  Koki Takaki; Andrew J Wade; Chris D Collins
Journal:  Environ Sci Pollut Res Int       Date:  2015-09-04       Impact factor: 4.223

  2 in total

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