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利用 COSMOmic 进行 SDS 和 CTAB 胶束化的分子动力学模拟及分配平衡预测。

Molecular dynamics simulation of SDS and CTAB micellization and prediction of partition equilibria with COSMOmic.

机构信息

Institute of Thermal Separation Processes, ‡Institute of Chemical Reaction Engineering, Hamburg University of Technology , D-21073 Hamburg, Germany.

出版信息

Langmuir. 2013 Sep 17;29(37):11582-92. doi: 10.1021/la402415b. Epub 2013 Sep 4.

Abstract

Molecular dynamics (MD) simulations of the self-assembly of different ionic surfactants have been performed in order to obtain representative micellar structures. Subsequently, these structures were used to predict the partition behavior of various solutes in these micelles with COSMOmic, an extension of COSMO-RS. This paper includes multiple self-assembled micelles of SDS (sodium dodecyl sulfate, anionic surfactant) and CTAB (cetyltrimethylammoniumbromide, cationic surfactant) at different concentrations. Micellar size, density profiles, and shape (eccentricity) have been investigated. However, the size strongly depends on the functional definition of a micelle. For this reason, we present a method based on the free monomer concentration in aqueous solution as an optimization criterion for the micelle definition. The combination of MD with COSMOmic has the benefit of combining detailed atomistic information from MD with fast calculations of COSMOmic. For the first time the influence of micelle structure on pratition equilibria, predicted with COSMOmic, were investigated. In case of SDS more than 4600 and for CTAB more than 800 single micelles have been studied. The predictions of the partition coefficients with COSMOmic are in good agreement with experimental data. Additionally, the most favorable locations of selected molecules in the micelles as well as probable energy barriers are determined even for complex solutes such as toluene, propanolol, ephedrine, acetone, phenol, lidocaine, syringic acid, coumarin, isovanillin, ferulic acid, and vanillic acid. This method can therefore be applied as a potential screening tool for solutes (e.g., drugs) to find the optimal solute-surfactant combination.

摘要

为了获得具有代表性的胶束结构,对不同离子型表面活性剂的自组装进行了分子动力学(MD)模拟。随后,使用 COSMOmic(COSMO-RS 的扩展)来预测这些胶束中各种溶质的分配行为。本文包括 SDS(阴离子表面活性剂)和 CTAB(阳离子表面活性剂)在不同浓度下的多个自组装胶束。研究了胶束的大小、密度分布和形状(偏心度)。然而,胶束的大小强烈依赖于胶束的功能定义。为此,我们提出了一种基于水溶液中游离单体浓度的方法作为胶束定义的优化标准。将 MD 与 COSMOmic 相结合的优点在于可以将 MD 的详细原子信息与 COSMOmic 的快速计算相结合。首次研究了胶束结构对 COSMOmic 预测的分配平衡的影响。对于 SDS,研究了超过 4600 个单胶束,对于 CTAB,研究了超过 800 个单胶束。用 COSMOmic 预测的分配系数与实验数据吻合较好。此外,即使对于复杂的溶质(如甲苯、丙醇、麻黄碱、丙酮、苯酚、利多卡因、丁香酸、香豆素、异香草醛、阿魏酸和香草酸),也可以确定溶质在胶束中的最有利位置和可能的能量势垒。因此,该方法可作为潜在的筛选工具,用于寻找最佳的溶质-表面活性剂组合。

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