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Unraveling the Atomistic Mechanisms Underlying Effective Reverse Osmosis Filtration by Graphene Oxide Membranes

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

The graphene oxide (GO) membrane displays promising potential in efficiently filtering ions from water. However, the precise mechanism behind its effectiveness remains elusive, particularly due to the lack of direct experimental evidence at the atomic scale. To shed light on this matter, state-of-the-art techniques are employed such as integrated differential phase contrast-scanning transmission electron microscopy and electron energy loss spectroscopy, combined with reverse osmosis (RO) filtration experiments using GO membranes. The atomic-scale observations after the RO experiments directly reveal the binding of various ions including Na+, K+, Ca2+, and Fe3+ to the defects, edges, and functional groups of GO. The remarkable ion-sieving capabilities of GO membranes are confirmed, which can be attributed to a synergistic interplay of size exclusion, electrostatic interactions, cation–π, and other non-covalent interactions. Moreover, GO membranes modified by external pressure and cation also demonstrated further enhanced filtration performance for filtration. This study significantly contributes by uncovering the atomic-scale mechanism responsible for ion sieving in GO membranes. These findings not only enhance the fundamental understanding but also hold substantial potential for the advancement of GO membranes in reverse osmosis (RO) filtration.

© 2024 The Author(s). Small Methods published by Wiley-VCH Gmb.
Original languageEnglish
Article number2400323
JournalSmall Methods
Volume9
Issue number1
Online published28 Jun 2024
DOIs
Publication statusPublished - 20 Jan 2025

Funding

This work was supported by Shenzhen Science, Technology and Innovation Commission (project nos. JCYJ20200109110213442), National Science Foundation of China (project nos. 52222218, 52272045, 52173230), The Hong Kong Research Grant Council General Research Fund 2841 (project nos. 11312022, 15302522, 11300820), The Environment and Conservation Fund (project nos. 69/2021, 34/2022), City University of Hong Kong (project nos. 7006005, 9680241, 9678303), The State Key Laboratory of Marine Pollution (SKLMP) Seed Collaborative Research Fund SKLMP/SCRF/0037, The Hong Kong Polytechnic University (project nos. ZVH0 and SAC9), The Research Institute for Advanced Manufacturing of The Hong Kong Polytechnic University.

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/

RGC Funding Information

  • RGC-funded

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