Bioconcentration potential predictions based on molecular attributes - an early warning approach for chemicals found in humans, birds, fish and wildlife

被引:50
作者
Dimitrov, SD [1 ]
Dimitrova, NC
Walker, JD
Veith, GD
Mekenyan, OG
机构
[1] Bourgas Univ As Zlatarov, Lab Math Chem, Burgas 8010, Bulgaria
[2] US EPA, TSCA Interagency Testing Comm, Washington, DC 20460 USA
[3] US EPA, Mid Continent Ecol Div, Duluth, MN 55804 USA
来源
QSAR & COMBINATORIAL SCIENCE | 2003年 / 22卷 / 01期
关键词
POPS; PBT; BCF; bioconcentration factor; QSAR;
D O I
10.1002/qsar.200390005
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The bioaccumulation potential of chemicals is used to indicate when chemicals are likely to contaminate fish, birds and other wildlife, and humans. Together with knowledge of the persistence of chemicals, the bioaccumulation potential is useful in setting priorities for hazard identification as well as environmental monitoring. Because the measurement of the bioaccumulation potential is costly, developing reliable estimates of this important indicator directly from chemical structure has long been a goal of Quantitative Structure Activity Relationship (QSAR) practitioners. Many previous models for predicting bioconcentration factors (BCF) for organic chemicals have been based on linear and bilinear relationships between log(BCF) and octanol-water partition coefficient (log(K-ow)), some of which also included other structural parameters such as structural correction factors or molecular connectivity indices, Fujita's characters, etc. Most of these BCF models have been derived for predicting passive diffusion of chemicals with log. octanol-water partition coefficients log(K-ow) <7. Most previous models showed large discrepancy for large number of chemicals (predominantly highly lipophilic) found in humans and fish. The effect of steric molecular attributes on predicting BCF was studied using 694 chemicals with available experimental BCF and K-ow values. It was found that maximum cross sectional diameters and conformational flexibility of chemicals affect significantly bioconcentration and could be used to explain identification of certain highly hydrophobic chemicals in humans and fish.
引用
收藏
页码:58 / 68
页数:11
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