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
中科院分区:
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作者:
F. Spafiu;Alice Mischie;P. Ioniță;A. Beteringhe;T. Constantinescu;A. Balaban
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.