期刊
BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY
卷 92, 期 2, 页码 143-147出版社
SPRINGER
DOI: 10.1007/s00128-013-1184-3
关键词
Environmental risk; Herbicides; QSPR modeling; Soil sorption
资金
- FAPEMIG
- CNPq
Herbicides have widely variable toxicity and many of them are persistent soil contaminants. Acetanilide and triazine family of herbicides have widespread use, but increasing interest for the development of new herbicides has been rising to increase their effectiveness and to diminish environmental hazard. The environmental risk of new herbicides can be accessed by estimating their soil sorption (logK(oc)), which is usually correlated to the octanol/water partition coefficient (logK(ow)). However, earlier findings have shown that this correlation is not valid for some acetanilide and triazine herbicides. Thus, easily accessible quantitative structure-property relationship models are required to predict logK(oc) of analogues of the these compounds. Octanol/water partition coefficient, molecular weight and volume were calculated and then regressed against logK(oc) for two series of acetanilide and triazine herbicides using multiple linear regression, resulting in predictive and validated models.
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