Ionic current driven by a viscosity gradient
Ionic current driven by a viscosity gradient
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由粘度梯度驱动的离子电流
DOI：
10.1039/d3fd00053b
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发表时间：
2023
影响因子：
3.4
通讯作者：
Stein, Derek
中科院分区：
文献类型：
--
作者：
Wiener, Benjamin;Stein, Derek
电压、压力、温度和盐度的变化可以通过众所周知的机制在微流体和纳米流体系统中传输物体。本文探讨了粘性梯度中颗粒的动力学与数值模拟。不同的随机规则用于整合布朗粒子的随机运动影响的扩散率梯度中的粒子的稳态分布。重要的是，模拟阐明了边界条件发挥的重要作用，当边界条件模仿封闭容器的边界条件时不允许稳态通量，但当它们模仿电极时允许通量。这些结果提供了一个解释，用于测量由具有液体粘度梯度的纳米流体通道分隔的电极之间流动的稳定离子电流。
Gradients of voltage, pressure, temperature, and salinity can transport objects in micro- and nanofluidic systems by well-known mechanisms. This paper explores the dynamics of particles in a viscosity gradient with numerical simulations. The different stochastic rules used to integrate the random motion of Brownian particles affect the steady-state distribution of particles in a diffusivity gradient. Importantly, the simulations illuminate the important role that the boundary conditions play, disallowing a steady-state flux when the boundary conditions mimic those of a closed container, but allowing flux when they mimic electrodes. These results provide an interpretation for measurements of a steady ionic current flowing between electrodes separated by a nanofluidic channel with a liquid viscosity gradient.