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Low fouling ultrathin nanocomposite membranes for efficient removal of manganese
Department of Chemical Engineering, Babol Noushirvani University of Technology.
Department of Chemical Engineering, Babol Noushirvani University of Technology.
University of Borås, Faculty of Textiles, Engineering and Business.ORCID iD: 0000-0003-4887-2433
2018 (English)In: Journal of Membrane Science, ISSN 0376-7388, E-ISSN 1873-3123, Vol. 549, p. 205-216Article in journal (Refereed) Published
Sustainable development
In my opinion, the content of this publication falls within the area of sustainable development.
Abstract [en]

The key to make an ideal thin film composite membrane is the reduction of active layer thickness as much as possible to improve the water permeability without adverse effect on selectivity. Hence, ultra-thin nanocomposite membranes were prepared via dip coating method composed of chitosan incorporated graphene oxide on the surface of polyethersulfone (PES) substrate, followed by ionic crosslinking with sodium tripolyphosphate (TPP). By incorporation of graphene oxide on the chitosan solution, the thickness of selective layer considerably decreased to around 45 nm and higher surface hydrophilicity was obtained. The chitosan/graphene oxide ultra-thin modified nanocomposite membrane exhibited state-of-art flux (around 55 LMH) and high manganese removal (around 85%) at low pressure of 3 bar. Moreover, these membranes demonstrated up to 98% inhibition in the bacteria proliferation, indicating reasonable antibacterial activity of ultra-thin layer. Besides, the antifouling ability of the nanocomposite membrane increased dramatically, where the flux recovery ratio of 52% and 93% attained for BSA and E. coli, respectively.

Place, publisher, year, edition, pages
Elsevier B.V. , 2018. Vol. 549, p. 205-216
Keywords [en]
Antimicrobial, Manganese removal, Nanocomposite membrane, Nanometer active layer
National Category
Industrial Biotechnology
Research subject
Resource Recovery
Identifiers
URN: urn:nbn:se:hb:diva-14807DOI: 10.1016/j.memsci.2017.12.012ISI: 000424393100022Scopus ID: 2-s2.0-85037992281ISBN: 03767388 (ISSN) OAI: oai:DiVA.org:hb-14807DiVA, id: diva2:1236578
Available from: 2018-08-03 Created: 2018-08-03 Last updated: 2018-08-08Bibliographically approved

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Taherzadeh, Mohammad J

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