Li A, Yalkowsky S H
Department of Pharmaceutical Practice, University of Arizona, Tucson 85721.
J Pharm Sci. 1994 Dec;83(12):1735-40. doi: 10.1002/jps.2600831217.
The log-linear solubilization model was applied to the experimental solubility data of 109 organic compounds in ethanol/water mixtures. It is found that the extent of solubilization strongly depends on the solute hydrophobicity and the ethanol concentration in the solvent mixture. Patterns of deviation from the log-linear model are related to the structure and hydrophobicity of the solutes. Predictive equations were obtained by regression of the experimental data with solute octanol/water partition coefficient (log Kow). The logarithms of the solubilization and the solute log Kow range over 11 orders of magnitude. The solubilities of chrysene, perylene, benzo[a]pyrene, pentachlorobenzene, and hexachlorobenzene in ethanol/water mixtures were experimentally determined, and the results fit well into the model.
将对数线性增溶模型应用于109种有机化合物在乙醇/水混合物中的实验溶解度数据。结果发现,增溶程度强烈依赖于溶质的疏水性以及溶剂混合物中乙醇的浓度。与对数线性模型的偏差模式与溶质的结构和疏水性有关。通过将实验数据与溶质正辛醇/水分配系数(log Kow)进行回归分析,得到了预测方程。增溶量的对数和溶质log Kow范围跨越11个数量级。通过实验测定了芘、苝、苯并[a]芘、五氯苯和六氯苯在乙醇/水混合物中的溶解度,结果与模型拟合良好。