Modelling the Performance of Electrically Conductive Nanofiltration Membranes

Kapitonov Alexey A.; Ryzhkov Ilya I.

Дополнительные ссылки: eLibrary

База данных: Каталог библиотеки СФУ

Библиографическое описание: Modelling the Performance of Electrically Conductive Nanofiltration Membranes : научное издание / Alexey A. Kapitonov, Ilya I. Ryzhkov. - Текст : непосредственный // Membranes. - 2023. - Т. 13, № 6. - P. 596. - ISSN 2077-0375, DOI 10.3390/membranes13060596.

Аннотация: Electrically conductive membranes are a class of stimuli-responsive materials, which allow the adjustment of selectivity for and the rejection of charged species by varying the surface potential. The electrical assistance provides a powerful tool for overcoming the selectivity–permeability trade-off due to its interaction with charged solutes, allowing the passage of neutral solvent molecules. In this work, a mathematical model for the nanofiltration of binary aqueous electrolytes by an electrically conductive membrane is proposed. The model takes into account the steric as well as Donnan exclusion of charged species due to the simultaneous presence of chemical and electronic surface charges. It is shown that the rejection reaches its minimum at the potential of zero charge (PZC), where the electronic and chemical charges compensate for each other. The rejection increases when the surface potential varies in positive and negative directions with respect to the PZC. The proposed model is successfully applied to a description of experimental data on the rejection of salts and anionic dyes by PANi–PSS/CNT and MXene/CNT nanofiltration membranes. The results provide new insights into the selectivity mechanisms of conductive membranes and can be employed to describe electrically enhanced nanofiltration processes.

Год издания: 2023

Авторы: Kapitonov Alexey A. , Ryzhkov Ilya I.

Источник: Membranes

Выпуск: Т. 13, № 6

Номера страниц: 596

Держатель оригинала документа: Institute of Computational Modelling SB RAS, Akademgorodok 50-44, 660036 Krasnoyarsk, Russia, School of Space and Information Technology, Siberian Federal University, Svobodny 79, 660041 Krasnoyarsk, Russia

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