IF 4.6 3区 材料科学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Siddharth Sambamoorthy, Henry C W Chu
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引用次数: 0

摘要

目前关于多孔介质中的扩散电泳的理论仅限于价对称电解质饱和的多孔介质。目前还缺乏一种预测多孔介质在价态不对称电解质或价态对称和不对称电解质一般混合物饱和情况下的扩散泳流的模型。为了填补这一知识空白,我们在本研究中基于正则扰动法和数值积分建立了一个数学模型,用于计算胶体在多孔介质饱和一般电解质混合物中的扩散流动性。我们利用泊松-诺恩斯特-普朗克方程建立了电动力学模型,并利用布林克曼方程和电体力建立了多孔介质中的流体传输模型。我们报告了三项新的重要发现。首先,我们证明了在相同的电解质浓度梯度下,降低多孔介质的渗透性可以显著减弱胶体的扩散运动。其次,我们发现,通过使用价态不对称电解质,在密度较高的多孔介质中胶体的扩散渗透运动会比在饱和对称电解质的密度较低的多孔介质中更强。第三,我们证明了改变电解质混合物的成分不仅会极大地改变胶体扩散渗透运动的强度,还会从本质上改变其方向。这项工作所建立的模型可用于理解和预测细胞内运输等自然现象,以及设计提高石油采收率、纳米颗粒药物输送和胶体物种分离等技术应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diffusiophoresis in porous media saturated with a mixture of electrolytes.

Current theories of diffusiophoresis in porous media are limited to a porous medium saturated with a valence symmetric electrolyte. A predictive model for diffusiophoresis in porous media saturated with a valence asymmetric electrolyte, or a general mixture of valence symmetric and asymmetric electrolytes, is lacking. To close this knowledge gap, in this work we develop a mathematical model, based upon the regular perturbation method and numerical integration, to compute the diffusiophoretic mobility of a colloid in porous media saturated with a general mixture of electrolytes. We model the electrokinetics using the Poisson-Nernst-Planck equations and the fluid transport in porous media using the Brinkman equation with an electric body force. We report three novel key findings. First, we demonstrate that, in the same electrolyte concentration gradient, lowering the permeability of the porous medium can significantly weaken the colloid diffusiophoretic motion. Second, we show that, surprisingly, by using a valence asymmetric electrolyte the colloid diffusiophoretic motion in a denser porous medium can be stronger than that in a less dense porous medium saturated with a symmetric electrolyte. Third, we demonstrate that varying the composition of an electrolyte mixture does not only change the strength of the colloid diffusiophoretic motion drastically, but also qualitatively its direction. The model developed from this work can be used to understand and predict natural phenomena such as intracellular transport, as well as design technological applications such as enhanced oil recovery, nanoparticle drug delivery, and colloidal species separation.

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来源期刊
Nanoscale Advances
Nanoscale Advances Multiple-
CiteScore
8.00
自引率
2.10%
发文量
461
审稿时长
9 weeks
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