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Micelles, Rods, Liposomes, and Other Supramolecular Surfactant Aggregates: Computational Approaches

机译:胶束,棒,脂质体和其他超分子表面活性剂聚集体:计算方法

摘要

Surfactants are an interesting class of compounds characterized by the segregation of polar and apolar domains in the same molecule. This peculiarity makes possible a whole series of microscopic and macroscopic effects. Among their features, their ability to segregate particles (fluids or entire domains) and to reduce the surface/interfacial tension is the utmost important. The interest in the chemistry of surfactants never weakened; instead, waves of increasing interest have occurred every time a new field of application of these molecules has been discovered. All these special characteristics depend largely on the ability of surfactants to self-assemble and constitute supramolecular structures where their chemical properties are amplified. The possibility to obtain structural and energy information and, above all, the possibility of forecast the self-organizing mechanisms of surfactants have had a significant boost via computational chemistry. The molecular dynamics models, initially coarse-grained and subsequently (with the increasing computer power) using more accurate models, allowed, over the years, to better understand different aspects of the processes of dispersion, self-assembly, segregation of surfactant. Moreover, several other aspects have been investigated as the effect of the counterions of many ionic surfactants in defining the final supramolecular structures, the mobility of side chains, and the capacity of some surfactant to envelope entire proteins. This review constitutes a perspective/prospective view of these results. On the other hand, some comparison of in silico results with experimental information recently acquired through innovative analytical techniques such as ion mobility mass spectrometry which have been introduced.
机译:表面活性剂是一类有趣的化合物,其特征在于同一分子中极性和非极性结构域的分离。这种独特性使一系列的微观和宏观效果成为可能。在它们的特征中,它们分离颗粒(流体或整个域)并降低表面/界面张力的能力是最重要的。表面活性剂化学的兴趣从未减弱。取而代之的是,每当发现这些分子的新应用领域时,就会出现人们越来越感兴趣的浪潮。所有这些特殊特性在很大程度上取决于表面活性剂自组装并构成超分子结构的能力,这些表面活性剂的化学性能得到了增强。通过计算化学,获得结构和能量信息的可能性,最重要的是,预测表面活性剂的自组织机理的可能性有了极大的提高。分子动力学模型最初是粗粒度的,后来(随着计算机功能的增强)使用更精确的模型,这些年来,人们可以更好地了解表面活性剂的分散,自组装和离析过程的各个方面。此外,已经研究了许多其他方面,如许多离子表面活性剂的抗衡离子在定义最终的超分子结构,侧链的迁移性以及某些表面活性剂包覆整个蛋白质的能力方面的作用。这次审查构成了对这些结果的观点/前瞻性看法。另一方面,计算机模拟结果与最近通过创新分析技术(如离子迁移质谱)获得的实验信息进行了一些比较。

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