Liu Xin-hui, Yang Zhi-feng, Wang Lian-sheng
State Key Laboratory of Environmental Simulation and Pollution Control, Institute of Environmental Sciences, Beijing Normal University, Beijing 100875, China.
J Environ Sci (China). 2003 Nov;15(6):721-7.
Based on quantum chemical calculations, TLSER model (theoretical linear solvation energy relationships) and atomic charge approach were applied to model the partition properties(water solubility and octanol/water partition coefficient) of 96 aromatic sulfur-containing carboxylates, including phenylthio, phenylsulfinyl and phenylsulfonyl carboxylates. In comparison with TLSER models, the atomic charge models are more accurate and reliable to predict the partition properties of the kind of compounds. For the atomic charge models, the molecular descriptors are molecular surface area (S), molecular shape (O), weight( MW), net charges on carboxyl group (QOC), net charges of nitrogen atoms (QN), and the most negative atomic charge (q-) of the solute molecule. For water solubility (log SW) and octanol/water partition coefficient (log KOW), the correction coefficients r2adj (adjusted for degrees of freedom) are 0.936 and 0.938, and the standard deviations are 0.364 and 0.223, respectively.
基于量子化学计算,应用TLSER模型(理论线性溶剂化能关系)和原子电荷方法对96种含芳基硫的羧酸盐(包括苯硫基、苯亚砜基和苯磺酰基羧酸盐)的分配性质(水溶性和正辛醇/水分配系数)进行建模。与TLSER模型相比,原子电荷模型在预测这类化合物的分配性质方面更准确、可靠。对于原子电荷模型,分子描述符为分子表面积(S)、分子形状(O)、分子量(MW)、羧基上的净电荷(QOC)、氮原子的净电荷(QN)以及溶质分子的最负原子电荷(q-)。对于水溶性(log SW)和正辛醇/水分配系数(log KOW),校正系数r2adj(根据自由度调整)分别为0.936和0.938,标准偏差分别为0.364和0.223。