Construction of MOFs-based nanocomposite membranes for emerging organic contaminants abatement in water

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Frontiers of Environmental Science & Engineering ›› 2023, Vol. 17 ›› Issue (7) : 89. DOI: 10.1007/s11783-023-1689-x

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Construction of MOFs-based nanocomposite membranes for emerging organic contaminants abatement in water

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● Application of the MOF-composite membranes in adsorption was discussed.

● Recent application of MOFs-membranes for separation was summarized.

● Separation and degradation for emerging organic contaminants were described.

Abstract

Presence of emerging organic contaminants (EOCs) in water is one of the major threats to water safety. In recent decades, an increasing number of studies have investigated new approaches for their effective removal. Among them, metal-organic frameworks (MOFs) have attracted increasing attention since their first development thanks to their tunable metal nodes and versatile, functional linkers. However, whether or not MOFs have a promising future for practical application in emerging contaminants-containing wastewater is debatable. This review summarizes recent studies about the removal of EOCs using MOFs-related material. The synthesis strategies of both MOF particles and composites, including thin-film nanocomposite and mixed matrix membranes, are critically reviewed, as well as various characterization technologies. The application of the MOF-based composite membranes in adsorption, separation (nanofiltration and ultrafiltration), and catalytic degradation are discussed. Overall, literature survey shows that MOFs-based composite could play a crucial role in eliminating EOCs in the future. In particular, modified membranes that realize separation and degradation might be the most promising materials for such application.

Keywords

Emerging organic contaminants / Metal organic frameworks / Synthesis / Adsorption / Catalysis

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. . Frontiers of Environmental Science & Engineering. 2023, 17(7): 89 https://doi.org/10.1007/s11783-023-1689-x

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Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (Nos. 21625102, 21971017, and 21906007), the National Key Research and Development Program of China (No. 2020YFB1506300), and the Beijing Institute of Technology Research Fund Program. We gratefully acknowledge the Analysis and Testing Center of the Beijing Institute of Technology.

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