Literature DB >> 12691908

Use of partition coefficients to predict mixture toxicity.

Zhifen Lin1, Ping Shi, Shixiang Gao, Liansheng Wang, Hongxia Yu.   

Abstract

By using the C(18)-Empore disks/water partition coefficient (K(MD)) to describe the toxicity of 50 mixed halogenated benzenes to Photobacterium phosphoreum, an approach is proposed in this study. Application of the approach to the 15 other related mixtures prove the predictive capability of this K(MD)-based approach, due to the consistency between the predicted toxicity and the observed ones with r(2)=0.929, SE=0.104, F=169.513 at P<0.001. Further analysis of this approach finds that, for the mixtures, although the toxicity is highly correlated with their hydrophobicity, this correlation is free from the range difference of the hydrophobicity, the ratio or the number of the individual chemicals. These analysis results suggest that this K(MD)-based approach is able to predict the toxicity of mixture pollutants in wastewater.

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Year:  2003        PMID: 12691908     DOI: 10.1016/S0043-1354(02)00619-X

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  2 in total

1.  A docking-based receptor library of antibiotics and its novel application in predicting chronic mixture toxicity for environmental risk assessment.

Authors:  Xiaoming Zou; Xianghong Zhou; Zhifen Lin; Ziqing Deng; Daqiang Yin
Journal:  Environ Monit Assess       Date:  2012-11-11       Impact factor: 2.513

2.  Acute toxicity of binary mixtures: alternative methods, QSAR and mechanisms.

Authors:  Miloň Tichý; Iveta Hanzlíková; Marián Rucki; Adéla Pokorná; Rút Uzlová; Jana Tumová
Journal:  Interdiscip Toxicol       Date:  2008-06
  2 in total

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