IBM Research Ireland, Dublin, Ireland.
STFC Hartree Centre, SciTech Daresbury, Warrington, Cheshire WA4 4AD, U.K.
J Phys Chem B. 2020 Oct 29;124(43):9701-9721. doi: 10.1021/acs.jpcb.0c06132. Epub 2020 Oct 14.
Using a comprehensive set of recently published experimental results for training and validation, we have developed computational models appropriate for simulations of aqueous solutions of poly(ethylene oxide) alkyl ethers, an important class of micelle-forming nonionic surfactants, usually denoted CE. These models are suitable for use in simulations that employ a moderate amount of coarse graining and especially for dissipative particle dynamics (DPD), which we adopt in this work. The experimental data used for training and validation were reported earlier and produced in our laboratory using dynamic light scattering (DLS) measurements performed on 12 members of the CE compound family yielding micelle size distribution functions and mass-weighted mean aggregation numbers at each of several surfactant concentrations. The range of compounds and quality of the experimental results were designed to support the development of computational models. An essential feature of this work is that all simulation results were analyzed in a way that is consistent with the experimental data. Proper account is taken of the fact that a broad distribution of micelle sizes exists, so mass-weighted averages (rather than number-weighted averages) over this distribution are required for the proper comparison of simulation and experimental results. The resulting DPD force field reproduces several important trends seen in the experimental critical micelle concentrations and mass-averaged mean aggregation numbers with respect to surfactant characteristics and concentration. We feel it can be used to investigate a number of open questions regarding micelle sizes and shapes and their dependence on surfactant concentration for this important class of nonionic surfactants.
使用最近发表的一整套实验结果进行训练和验证,我们开发了适用于聚(氧化乙烯)烷基醚水溶液模拟的计算模型,这是一类重要的胶束形成非离子表面活性剂,通常表示为 CE。这些模型适用于使用适度粗粒化的模拟,特别是适用于耗散粒子动力学(DPD),我们在这项工作中采用了这种方法。用于训练和验证的实验数据早些时候已经报道过,并在我们的实验室中使用动态光散射(DLS)测量生成,该测量针对 CE 化合物家族的 12 个成员进行,得出胶束大小分布函数和在每个表面活性剂浓度下的质量加权平均聚集数。化合物的范围和实验结果的质量旨在支持计算模型的开发。这项工作的一个重要特点是,所有模拟结果都以与实验数据一致的方式进行分析。正确考虑到存在广泛的胶束大小分布,因此需要对该分布进行质量加权平均(而不是数量加权平均),以便正确比较模拟和实验结果。所得的 DPD 力场再现了实验临界胶束浓度和质量平均聚集数与表面活性剂特性和浓度有关的几个重要趋势。我们认为,它可以用于研究有关该重要类非离子表面活性剂的胶束大小和形状及其对表面活性剂浓度的依赖性的许多悬而未决的问题。