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Dispersion of graphene using surfactant mixtures: Experimental and molecular dynamics simulation studies

机译:使用表面活性剂混合物分散石墨烯:实验和分子动力学模拟研究

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The capability of sodium dodecyl sulfate (SDS) and cetyltrimethylammonium bromide (CTAB), cationic-rich and anionic-rich mixtures for dispersion of graphene nanosheets in an aqueous medium was assessed through both experimental and molecular dynamics (MD) simulation methods. The experimental results, especially measurements of zeta-potential showed that the dispersing power of pure SDS and the anionic-rich mixture is more than that of pure CTAB and cationic-rich mixture due to the smaller size of the SDS and more adsorption of it on the surface of graphene compared with CTAB. Nonetheless, stable dispersed graphene nanosheets were obtained at a lower total surfactant mixture concentration compared to when used alone, suggest the synergistic effect of catanionic mixtures. Regarding environmental impacts and costs, using surfactant mixtures for dispersing graphene nanosheets is promising. Moreover, MD simulations were used to examine surfactant mixture assemblies' structure on graphene and explain the experimental results, which showed that the random adsorption model first changes to the monolayer model and then the hemispherical model with an increased surfactant concentration. The zeta-potential about surfactant mixture-graphene assemblies was estimated using the results of MD simulation and Poisson's theory, and the results conformed to the experimental results favorably. Eventually, interactions between two surfactant mixture-graphene assemblies were evaluated through calculating the potential of mean force (PMF), and it was found that increasing surfactant surface coverage would lead to an enhanced repulsive barrier of PMF. Understanding the mechanism of interactions will help the design and selection of appropriate surfactants, the optimization of the process and the improvement of graphene dispersion in aqueous solutions of surfactants.
机译:通过实验和分子动力学(MD)模拟方法评估了十二烷基硫酸钠(SDS)和十六烷基三甲基溴化铵(CTAB),富含阳离子和富含阴离子的混合物在水介质中分散石墨烯纳米片的能力。实验结果,特别是ζ电势的测量结果表明,由于SDS的尺寸更小并且在SDS上的吸附更多,纯SDS和富含阴离子的混合物的分散能力要比纯CTAB和富含阳离子的混合物的分散能力强。与CTAB相比,石墨烯的表面。然而,与单独使用时相比,在较低的表面活性剂混合物总浓度下获得了稳定的分散石墨烯纳米片,表明阳离子混合物的协同作用。关于环境影响和成本,使用表面活性剂混合物分散石墨烯纳米片是有希望的。此外,MD模拟被用来检查表面活性剂混合物在石墨烯上的结构并解释了实验结果,结果表明,随表面活性剂浓度的增加,随机吸附模型首先变为单层模型,然后变为半球形模型。利用MD模拟和泊松理论对表面活性剂混合物-石墨烯组装体的ζ电位进行了估计,结果与实验结果吻合良好。最终,通过计算平均力(PMF)的潜力评估了两个表面活性剂混合物-石墨烯组件之间的相互作用,发现增加表面活性剂的表面覆盖率将导致增强的PMF排斥力。了解相互作用的机理将有助于设计和选择合适的表面活性剂,优化工艺并改善石墨烯在表面活性剂水溶液中的分散性。

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