Stable Graphene Membranes for Selective Ion Transport and Emerging Contaminants Removal in Water
Abstract: Carbon‐based materials, such as graphene oxide and reduced graphene oxide membranes have been recently used to fabricate ultrathin, high‐flux, and energy‐efficient membranes for ionic and molecular sieving in aqueous solution. However, these membranes appeared rather unstable during long‐term operation in water with a tendency to swell over time. Membranes produced from pristine, stable, layered graphene materials may overcome these limitations while providing high‐level performance. In this paper, an efficient and “green” strategy is proposed to fabricate µm‐thick, graphene‐based laminates by liquid phase exfoliation in Cyrene and vacuum filtration on a PVDF support. The membranes appear structurally robust and mechanically stable, even after 90 days of operation in water. In ion transport studies, the membranes show size selection (>3.3 Å) and anion‐selectivity via the positively charged nanochannels forming the graphene laminate. In antibiotic (tetracycline) diffusion studies under dynamic conditions, the membrane achieve rejection rates higher than 95%. Sizable antibacterial properties are demonstrated in contact method tests with Staphylococcus aureus and Escherichia coli bacteria. Overall, these “green” graphene‐based membranes represent a viable option for future water management applications.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Stable Graphene Membranes for Selective Ion Transport and Emerging Contaminants Removal in Water ; day:09 ; month:03 ; year:2023 ; extent:13
Advanced functional materials ; (09.03.2023) (gesamt 13)
- Urheber
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Sankar, Siva Nemala
Fernandes, João
dos Santos, Marília Barreiros
Espiña, Begoña
Alpuim, Pedro
Díez, Ander García
Lanceros‐Mendez, Senentxu
Saini, Lalita
Kaushik, Suvigya
Kalon, Gopinadhan
Capasso, Andrea
- DOI
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10.1002/adfm.202214889
- URN
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urn:nbn:de:101:1-2023031014042710885578
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 11:01 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Sankar, Siva Nemala
- Fernandes, João
- dos Santos, Marília Barreiros
- Espiña, Begoña
- Alpuim, Pedro
- Díez, Ander García
- Lanceros‐Mendez, Senentxu
- Saini, Lalita
- Kaushik, Suvigya
- Kalon, Gopinadhan
- Capasso, Andrea