Zentrum für Umweltforschung und nachhaltige Technologien (UFT) (Center for Environmental Research and Technology), University of Bremen, Leobener Strasse, 28359 Bremen, Germany.
J Phys Chem B. 2011 May 19;115(19):6040-50. doi: 10.1021/jp200042f. Epub 2011 Apr 19.
In this article, we present evolutionary models to predict the octanol-water partition coefficients (log P), water solubilities, and critical micelle concentrations (CMCs) of ionic liquids (ILs), as well as the anionic activity coefficients and hydrophobicities in pure water and octanol-water. They are based on a polyparameter linear free energy relationship (LFER) using measured and/or DFT-calculated LFER parameters: hydrogen-bonding acidity (A), hydrogen-bonding basicity (B), polarizability/dipolarity (S), excess molar refraction (E), and McGowan volume (V) of IL ions. With both calculated or experimental LFER descriptors of IL ions, the physicochemical parameters were predicted with an errors of 0.182-0.217 for the octanol-water partition coefficient and 0.131-0.166 logarithmic units for the water solubility. Because experimentally determined solute parameters of anions are not currently available, the CMC, anionic activity coefficient, and hydrophobicity were predicted with quantum-chemical methods with R(2) values of at least 0.99, as well as errors below 0.168 logarithmic units. These new approaches will facilitate the assessment of the technical applicability and environmental fate of ionic compounds even before their synthesis.
本文提出了用于预测离子液体(ILs)的辛醇-水分配系数(log P)、水溶解度、临界胶束浓度(CMC),以及在纯水和辛醇-水中的阴离子活度系数和疏水性的演化模型。这些模型基于使用实测和/或 DFT 计算的 LFER 参数(氢键酸度(A)、氢键碱度(B)、极化率/偶极子性(S)、超额摩尔折射(E)和 IL 离子的 McGowan 体积(V))的多参数线性自由能关系(LFER)。使用 IL 离子的计算或实验 LFER 描述符,可以预测物理化学参数,对于辛醇-水分配系数的预测误差为 0.182-0.217,对于水溶解度的预测误差为 0.131-0.166 对数单位。由于目前无法获得阴离子的实验确定的溶质参数,因此使用量子化学方法预测 CMC、阴离子活度系数和疏水性,R(2) 值至少为 0.99,误差低于 0.168 对数单位。这些新方法将有助于评估离子化合物的技术适用性和环境归宿,甚至在其合成之前。