Deciphering the Maze of Monomer Concentrations for Customizing Ion‐sieving Performance of Polyamide Membranes

Abstract Devising polyamide membranes with favorable pore size and surface charge is highly promising for boosting their ion‐sieving performance. Despite tremendous achievements, existing polyamide membranes suffer from limited pore size tunability and highly negative charges due to a haphazard or nonoptimized choice of monomer concentrations, significantly locking their ion‐sieving potential, especially for different ion species. Here, a straightforward strategy is proposed to synthesize a series of highly selective polyamide membranes with customized ion‐sieving performance through deciphering the maze of monomer concentrations and ratios to engineer pore size and charge density and systematically elucidating the impact of structure on performance. Beyond conventional concentration ranges, individual increases of either acyl chloride or amine monomer concentration can be harnessed to produce carboxy‐rich or amino‐rich polyamide membranes with enhanced charge group density, demonstrating improved selectivity for mono/divalent anions or cations, respectively. Notably, the simultaneous elevation of both monomer concentrations yields polyamide membranes with the highest amide bond density and smallest pore size, achieving ultrahigh selectivity above 100 for both ion types. Moreover, the optimal polyamide membranes demonstrate superior and durable Li + /Mg 2+ selectivity ranging from 79 to 366 toward simulated salt‐lake brines across varying salinities, Li + /Mg 2+ ratios, and operating pressures.

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Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-06-24
DOI
https://doi.org/10.1002/adfm.202509846
Citations
7
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
5.72

Funders

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article

Deciphering the Maze of Monomer Concentrations for Customizing Ion‐sieving Performance of Polyamide Membranes

Hao‐Cheng Yang, Jia‐Hui Xin, Chao Zhang, Hong‐Qing Liang et al.
7 citations
Advanced Functional Materials
Membrane Separation Technologies
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article

Deciphering the Maze of Monomer Concentrations for Customizing Ion‐sieving Performance of Polyamide Membranes

Hao‐Cheng Yang, Jia‐Hui Xin, Chao Zhang, Hong‐Qing Liang, Zhikang Xu, Jinbo Li, Hui Fan, Cheng‐Ye Zhu, Yu Fang
article en
7 citations

Abstract

Abstract Devising polyamide membranes with favorable pore size and surface charge is highly promising for boosting their ion‐sieving performance. Despite tremendous achievements, existing polyamide membranes suffer from limited pore size tunability and highly negative charges due to a haphazard or nonoptimized choice of monomer concentrations, significantly locking their ion‐sieving potential, especially for different ion species. Here, a straightforward strategy is proposed to synthesize a series of highly selective polyamide membranes with customized ion‐sieving performance through deciphering the maze of monomer concentrations and ratios to engineer pore size and charge density and systematically elucidating the impact of structure on performance. Beyond conventional concentration ranges, individual increases of either acyl chloride or amine monomer concentration can be harnessed to produce carboxy‐rich or amino‐rich polyamide membranes with enhanced charge group density, demonstrating improved selectivity for mono/divalent anions or cations, respectively. Notably, the simultaneous elevation of both monomer concentrations yields polyamide membranes with the highest amide bond density and smallest pore size, achieving ultrahigh selectivity above 100 for both ion types. Moreover, the optimal polyamide membranes demonstrate superior and durable Li + /Mg 2+ selectivity ranging from 79 to 366 toward simulated salt‐lake brines across varying salinities, Li + /Mg 2+ ratios, and operating pressures.

Advanced Functional MaterialsVol. 35(50)
Westlake University (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Zhejiang University, State Key Laboratory of Chemical Engineering, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 4%
Membrane Separation Technologies
5.72
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