Issue 10, 2022

A promising scalable route to construct GO-based laminate membranes for antifouling ultrafiltration

Abstract

Graphene oxide (GO) laminate membranes have been deemed as promising membrane materials for a variety of applications, but they suffer from poor stability in solvents and difficulty in large-scale preparation. Herein, a scalable method was used to fabricate GO-based laminate membranes in a large area by dip-coating a GO/polyvinyl alcohol (PVA) mixed dispersion on a commercial filter paper, followed by borate crosslinking for enhancing the stability. Micromorphological investigation demonstrated that an even and continuous GO/PVA layer was constructed on a filter paper, which exhibited obviously laminated assembly architecture. Membrane testing confirmed that the water flux and molecular weight cut-off (MWCO) of the obtained GO/PVA composite membrane could be facilely tuned by changing the content of GO or PVA in the mixed dispersion. Moreover, multiple recycling tests demonstrated that about 86% of the water flux of the GO/PVA composite membrane was recovered by water cleaning even after 4 cycles, exhibiting good anti-protein-fouling performance. Additionally, the composite membrane also showed good tolerance to acidic and alkaline solutions, organic dye separation capability and excellent antibacterial property. This research affirmed that dip-coating a GO/PVA mixed dispersion is a potential way for the large-scale preparation of GO-based laminate membranes and broadening the prospects of GO-based laminate membranes in various separation fields.

Graphical abstract: A promising scalable route to construct GO-based laminate membranes for antifouling ultrafiltration

Supplementary files

Article information

Article type
Paper
Submitted
24 Nov 2021
Accepted
13 Apr 2022
First published
14 Apr 2022
This article is Open Access
Creative Commons BY-NC license

Mater. Adv., 2022,3, 4369-4380

A promising scalable route to construct GO-based laminate membranes for antifouling ultrafiltration

Y. Meng, Y. Qiao, H. Zhou, J. Li and B. Zhang, Mater. Adv., 2022, 3, 4369 DOI: 10.1039/D1MA01111A

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements