Ji Anping, Zhou Lang, Xiao Qiming, Liu Jigang, Huang Wenqian, Yu Yun, Zhang Zhengwei, Pi Junhao, Yang Chenxi, Chen Haoxuan
School of Mechanical Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
Chongqing Engineering Technology Research Center for Light Alloy and Processing, Chongqing 404100, China.
Molecules. 2025 Jan 6;30(1):191. doi: 10.3390/molecules30010191.
The ionic conductance in a charged nanopore exhibits a power-law behavior in low salinity-as has been verified in many experiments (G0∝c0α)-which is governed by surface charges. The surface charge inside a nanopore determines the zeta potential and ion distributions, which have a significant impact on ion transport, especially in a single-digit nanopore with potential leakage. However, precisely measuring surface charge density in a single-digit nanopore remains a challenge. Here, we propose a methodology for exploring the power-law variation of ionic conductance, with potential leakage taken into account. We conducted experiments to measure the ionic current using silicon nitride nanopores and employed a continuous theory to explore the relationship between pore-bound concentration and surface charges. Considering that the influence of potential leakage on concentration follows a power-law relationship, we established a coefficient (α) to examine the controlling factors of potential leakage and modified the conductance model to obtain the ion mobility inside a nanopore.
在低盐度下，带电纳米孔中的离子电导呈现幂律行为——这已在许多实验中得到验证（G0∝c0α）——其受表面电荷支配。纳米孔内部的表面电荷决定了zeta电位和离子分布，这对离子传输有重大影响，尤其是在存在潜在泄漏的单纳米孔中。然而，精确测量单纳米孔中的表面电荷密度仍然是一项挑战。在此，我们提出一种方法来探索考虑潜在泄漏情况下离子电导的幂律变化。我们进行了实验，使用氮化硅纳米孔测量离子电流，并采用连续理论来探索孔束缚浓度与表面电荷之间的关系。考虑到潜在泄漏对浓度的影响遵循幂律关系，我们建立了一个系数（α）来研究潜在泄漏的控制因素，并修改了电导模型以获得纳米孔内的离子迁移率。
