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Harmonic amide bond density as a game-changer for deciphering the crosslinking puzzle of polyamide

Yu-Ren Xue, Chang Liu, Zhao-Yu Ma, Cheng-Ye Zhu, Jian Wu, Hong-Qing Liang (), Hao-Cheng Yang, Chao Zhang and Zhi-Kang Xu ()
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Yu-Ren Xue: Zhejiang University
Chang Liu: Zhejiang University
Zhao-Yu Ma: Zhejiang University
Cheng-Ye Zhu: Zhejiang University
Jian Wu: Zhejiang University
Hong-Qing Liang: Zhejiang University
Hao-Cheng Yang: Zhejiang University
Chao Zhang: Zhejiang University
Zhi-Kang Xu: Zhejiang University

Nature Communications, 2024, vol. 15, issue 1, 1-10

Abstract: Abstract It is particularly essential to analyze the complex crosslinked networks within polyamide membranes and their correlation with separation efficiency for the insightful tailoring of desalination membranes. However, using the degree of network crosslinking as a descriptor yields abnormal analytical outcomes and limited correlation with desalination performance due to imperfections in segmentation and calculation methods. Herein, we introduce a more rational parameter, denoted as harmonic amide bond density (HABD), to unravel the relationship between the crosslinked networks of polyamide membranes and their desalination performance. HABD quantifies the number of distinct amide bonds per unit mass of polyamide, based on a comprehensive segmentation of polyamide structure and consistent computational protocols derived from X-ray photoelectron spectroscopy data. Compared to its counterpart, HABD overcomes the limitations and offers a more accurate depiction of the crosslinked networks. Empirical data validate that HABD exhibits the expected correlation with the salt rejection and water permeance of reverse osmosis and nanofiltration polyamide membranes. Notably, HABD is applicable for analyzing complex crosslinked polyamide networks formed by highly functional monomers. By offering a powerful toolbox for systematic analysis of crosslinked polyamide networks, HABD facilitates the development of permselective membranes with enhanced performance in desalination applications.

Date: 2024
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DOI: 10.1038/s41467-024-45918-4

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