首页> 外文期刊>International Journal of Tropical Agriculture >Quantitative Structure Property Relationship (QSPR) Studies of N-octanol / Water Partion Coeffcient for Polychlorinated Biphenyls (PCBS) Using Physiochemical and Topological Indices
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Quantitative Structure Property Relationship (QSPR) Studies of N-octanol / Water Partion Coeffcient for Polychlorinated Biphenyls (PCBS) Using Physiochemical and Topological Indices

机译:使用物理化学和拓扑指标的多氯联苯(PCBS)正辛醇/水分配系数的定量结构性质关系(QSPR)研究

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摘要

The logarithmic n-octanol /water partition coefficient (log K_(ow) is a very important property which is concerned with the water-solubility, bio concentration factor, toxicity and soil absorption coefficient of organic compounds. Quantitative structure-property relationship (QSPR) models for log K_(ow) of 133 polychlorinated biphenyls (PCBs) was examined using multiple linear regression analysis (MLR) followed by their statistical evaluation in the present study. In order to indicate the influence of different molecular descriptors on log K_(ow) values and understand the importance of structural features, affecting the experimental values, a set of physiochemical and topological parameters (especially Balaban and related index)were taken into consideration. After series of regression using mono, bi, tri tetra and penta parametric models, a penta parametric model was with R~2 0.9401 was chosen to be the best to model the log K_(ow) The obtained model was also judged through the cross validated parameters.
机译:对数N-辛醇/水分配系数(Log K_(OW)是一种非常重要的性质,涉及有机化合物的水溶性,生物浓度因子,毒性和土壤吸收系数。定量结构 - 财产关系(QSPR)使用多元线性回归分析(MLR)检查133个多氯联苯(PCB)的Log K_(OW)的模型,然后在本研究中进行统计评估。为了表明不同分子描述符对日志K_(OW)的影响价值观和了解结构特征的重要性,影响实验值,一组生理化学和拓扑参数(特别是Balaban及相关指数)。经过单声道,BI,TRI TETRA和PENTA参数模型的回归序列之后,a Penta参数模型与R〜2 0.9401被选择是最好的模拟Log K_(OW)所获得的模型也通过十字架v判断旁边参数。

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