Highly porous nanofiber-supported monolayer graphene membranes for ultrafast organic solvent nanofiltration.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
10 Sep 2021
Historique:
entrez: 13 9 2021
pubmed: 14 9 2021
medline: 14 9 2021
Statut: ppublish

Résumé

Scalable fabrication of monolayer graphene membrane on porous supports is key to realizing practical applications of atomically thin membranes, but it is technologically challenging. Here, we demonstrate a facile and versatile electrospinning approach to realize nanoporous graphene membranes on different polymeric supports with high porosity for efficient diffusion- and pressure-driven separations. The conductive graphene works as an excellent receptor for deposition of highly porous nanofibers during electrospinning, thereby enabling direct attachment of graphene to the support. A universal “binder” additive is shown to enhance adhesion between the graphene layer and polymeric supports, resulting in high graphene coverage on nanofibers made from different polymers. After defect sealing and oxygen plasma treatment, the resulting nanoporous membranes demonstrate record-high performances in dialysis and organic solvent nanofiltration, with a pure ethanol permeance of 156.8 liters m

Identifiants

pubmed: 34516873
doi: 10.1126/sciadv.abg6263
pmc: PMC8442935
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eabg6263

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Auteurs

Liang Shen (L)

Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117576, Singapore.

Qi Shi (Q)

Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117576, Singapore.

Shengping Zhang (S)

School of Electronics Engineering and Computer Science, Institute of Microelectronics, Peking University, Beijing 100871, P.R. China.

Jie Gao (J)

Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117576, Singapore.

David Chi Cheng (DC)

Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.

Ming Yi (M)

Key Laboratory of Material Chemistry for Energy Conversion and Storage (Huazhong University of Science and Technology), Ministry of Education, Wuhan 430074, P.R. China.

Ruiyang Song (R)

School of Electronics Engineering and Computer Science, Institute of Microelectronics, Peking University, Beijing 100871, P.R. China.

Luda Wang (L)

School of Electronics Engineering and Computer Science, Institute of Microelectronics, Peking University, Beijing 100871, P.R. China.

Jianwen Jiang (J)

Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117576, Singapore.

Rohit Karnik (R)

Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.

Sui Zhang (S)

Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117576, Singapore.

Classifications MeSH