On the validity of ion selective membrane simplification in concentration polarization
Name
5.0037961.pdf
Description
Published version
Size
5.15 MB
Format
Adobe PDF
Checksum (MD5)
fe39b450fa50aea4eee0ff2db9bda05b
Author(s)
Jiang, Jiafei
Tang, Jing
Al-Anzi, Bader
Han, Jongyoon
Li, Zirui
Date Issued
2021
Journal
AIP Advances
Publisher
AIP Publishing
Citation
Jiang, Jiafei, Tang, Jing, Al-Anzi, Bader, Han, Jongyoon and Li, Zirui. 2021. "On the validity of ion selective membrane simplification in concentration polarization." AIP Advances, 11 (3).
Version
Final published version
Abstract
Ion selective membrane (ISM) is widely used in electrochemical engineering and micro-fluidic processes, yet accurate modeling of the ISM is still challenging due to many scientific issues. So far, assumptions on the "ideal ISM"have been used in most simulation studies involving ion transport and electrokinetic flow in ion concentration polarization systems, but the validity or accuracy of those assumptions has never been investigated. In this paper, using a two-dimensional nanochannel system with practical significance, we verify the validity of the ideal ISM model by making comparisons between the idealized ISM system and a more realistic permselective nanochannel system in terms of simplifications over the electrical potential, counter-ion concentration, and zero co-ion flux. Our results show that the simplifications of fixed voltage and fixed counter-ion concentration in the ideal ISM model are largely accurate in most situations, especially under high applied voltage and/or with high charge density inside the ISM. However, zero co-ion flux simplification is not exactly accurate in most occasions. Significant errors may be incurred by the zero co-ion flux assumption when steady state solutions are sought using the ISM model. Some discussions over the influences of structures of the nanochannel system are also added. The obtained results will help in obtaining detailed understanding of the transport features inside the nanoporous ISM, especially when the comparison between simulation and experimental data is necessary.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1063/5.0037961
