New alternatives for estimating the octanol/water partition coefficient and water solubility for volatile organic compounds using GLC data (Kovàts retention indices)

New alternatives for estimating the octanol/water partition coefficient and water solubility for volatile organic compounds using GLC data (Kovàts retention indices)
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使用 GLC 数据(Kovàts 保留指数)估算挥发性有机化合物的辛醇/水分配系数和水溶性的新替代方案

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发表时间:
2009
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通讯作者:
A. Balaban
A. Balaban
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作者:
F. Spafiu;Alice Mischie;P. Ioniță;A. Beteringhe;T. Constantinescu;A. Balaban

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本文研究了用Kovats保留指数(I)估算辛醇/水分配系数(logP)和水溶解度(Sw)的新方法。Kovats保留指数(I)由7种不同化学类别(烃类、醇类、醛类、酮类、羧酸类、酯类和卤素化合物)的132种挥发性有机化合物的GLC保留数据得到。应用多元线性回归方法得到六个方程,所有方程均涉及指数I,如下:(i)logP与I的直接相关性(方程1);(ii)logP与I、摩尔吸附活性和表面张力(方程1)。2);(iii)IogP对I和结构特征(方程2); 3、4和6);(iv)IogP与I/Sw比(等式3)5)。除了EQ。1(显示出相对较弱的相关性),方程。2 - 6可以提供可靠的值的logP和logSw的显着的统计参数证明。通过方程给出了一般模型。2 - 6还可以应用于估计其他生物和/或生态重要性质,这些性质线性依赖于logP或log S w值。通过推广,提出了一种新的计算方法(等式2)。7),以便允许根据键的数目和Kovats保留指数来估计logP或logSw。
New possibilities for estimating octanol/water partition coefficients (logP) and the water solubility (Sw) were investigated using Kovats retention indices (I) obtained from GLC retention data for 132 volatile organic compounds belonging to 7 different chemical classes (hydrocarbons, alcohols, aldehydes, ketones, carboxylic acids, esters and halogen compounds). Application of the multilinear regression method led to six equations, all involving index I, as follows: (i) direct correlation logP vs. I (eq.1); (ii) logP vs. I , molar refractivity, and surface tension (eq. 2); (iii) logP vs. I and structural characteristics (eqs. 3, 4 and 6); (iv) logP vs. the I/Sw ratio (eq. 5). Excepting eq. 1 (which showed relatively weak correlations), eqs. 2 - 6 can provide reliable values for logP and for logSw as proved by the significant statistical parameters. The general models presented through eqs. 2 - 6 may also be applied in estimation of other biological and/or ecological important properties, which are linearly dependent on the logP or log S w values. By generalization, a new calculation method is suggested (eq. 7), in order to allow the estimation of logP or logSw in terms of the number of bonds and the Kovats retention index.