Manning condensation in ion exchange membranes: A review on ion partitioning and diffusion models

被引:54
作者
Kitto, David [1 ]
Kamcev, Jovan [1 ,2 ]
机构
[1] Univ Michigan, Dept Chem Engn, North Campus Res Complex B28, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Macromol Sci & Engn, North Campus Res Complex B28, Ann Arbor, MI 48109 USA
基金
美国国家科学基金会;
关键词
counter-ion condensation; ion activity; ion diffusion; ion exchange membranes; ion partitioning; AQUEOUS SALT-SOLUTIONS; COUNTERION CONDENSATION; POLYELECTROLYTE SOLUTIONS; LIMITING LAWS; BORN MODEL; DONNAN EQUILIBRIUM; POLYMER MEMBRANES; WATER; COEFFICIENTS; SORPTION;
D O I
10.1002/pol.20210810
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
The rational design of ion exchange membranes (IEMs) is becoming more pertinent as their usage becomes broader and as their staple applications (i.e., electrodialysis, flow batteries, and fuel cells) improve in commercial viability. Such efforts would be catalyzed by an improved fundamental understanding of ion transport in IEMs. This review discusses recent progress in modeling ion partitioning and diffusion in IEMs in an effort to relate IEM performance metrics to fundamental membrane properties over which researchers and membrane manufacturers possess direct and sometimes precise control. Central focus is given to the Donnan-Manning model for ion partitioning and the Manning-Meares model for ion diffusion in IEMs. These two frameworks, which are derived from Manning's counter-ion condensation theory for polyelectrolyte solutions, have been widely used within the IEM literature since their recent introduction. To explore this topic, the mathematical derivation of both models is revisited, followed by a survey of experimental and computational discussions of counter-ion condensation in IEMs. Alternative models which fulfill similar roles in predicting IEM transport properties are compared. This review concludes by highlighting the uniquely favorable positions of the Donnan-Manning and Manning-Meares models and discussing their prospects as leading predictors of IEM partitioning and diffusive properties.
引用
收藏
页码:2929 / 2973
页数:45
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