Diffusioosmotic flow reversals due to ion-ion electrostatic correlations

• Published in: Nanoscale 2024-05, Vol.16 (19), p.9367-9381
• Main Authors: Zhang, Shengji, Chu, Henry C. W
• Format: Article
• Language: English
• Subjects: Correlation; Dilution; Electrodialysis; Electrolytes; Electroosmosis; Enhanced oil recovery; Ion charge; Mathematical models; Poisson equation; Surface charge
• ISSN: 2040-3364; 2040-3372
• DOI: 10.1039/d3nr06152c

Existing theories of diffusioosmosis have neglected ion-ion electrostatic correlations, which are important in concentrated electrolytes. Here, we develop a mathematical model to numerically compute the diffusioosmotic mobilities of binary symmetric electrolytes across low to high concentrations in a charged parallel-plate channel. We use the modified Poisson equation to model the ion-ion electrostatic correlations and the Bikerman model to account for the finite size of ions. We report two key findings. First, ion-ion electrostatic correlations can cause a unique reversal in the direction of diffusioosmosis. Such a reversal is not captured by existing theories, occurs at  0.4 M for a monovalent electrolyte, and at a much lower concentration of  0.003 M for a divalent electrolyte in a channel with the same surface charge. This highlights that diffusioosmosis of a concentrated electrolyte can be qualitatively different from that of a dilute electrolyte, not just in its magnitude but also its direction. Second, we predict a separate diffusioosmotic flow reversal, which is not due to electrostatic correlations but the competition between the underlying chemiosmosis and electroosmosis. This reversal can be achieved by varying the magnitude of the channel surface charge without changing its sign. However, electrostatic correlations can radically change how this flow reversal depends on the channel surface charge and ion diffusivity between a concentrated and a dilute electrolyte. The mathematical model developed here can be used to design diffusioosmosis of dilute and concentrated electrolytes, which is central to applications such as species mixing and separation, enhanced oil recovery, and reverse electrodialysis. We develop a mathematical model that predicts a unique diffusioosmotic flow reversal due to ion-ion electrostatic correlations.