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Lamellar crosslinking reinforced strategy to prepare 2D metal-organic framework membranes for ultra-fast and robust molecules/ions separation.

Authors :
He, Zhaoyi
Li, Guiliang
Liu, Yang
Shi, Ke
Wang, Xiao
Tang, Chuyang Y.
Liu, Fu
Source :
Journal of Membrane Science. Feb2024, Vol. 693, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Two-dimensional (2D) metal-organic framework (MOF) membranes have garnered significant attention for high throughput and precise molecular/ionic sieving. However, the delamination of lamellar nanosheet structure challenges the continuous separation under the intense fluid shear in real hydraulic pressure and cross-flow operation. Here we present a highly durable nickel-derived metal-organic framework (Ni-MOF) lamellar membrane stabilized by a polymer network of gallic acid (GA) and polyethyleneimine (PEI) for efficient ions/molecules separation. The crosslinked network construction reinforced the nanosheets interaction and contributed to the interlayer structure integrity, thus maintaining the Ni-MOF membrane a stable water permeance and nano/sub-nanometer selectivity (permeance >80 L m−2 h−1 bar−1, S dye/NaCl >100) for 170 h under cross-flow, superior to most lamellar membranes under dead-end filtration. Moreover, the Ni-MOF membrane could withstand multiple bending and violent ultrasonic treatment (190 W). The lamellar crosslinking reinforced strategy is applicable to other lamellar MOF membranes, which offers a forward-looking strategy to tackle 2D membrane stability and facilitate practical applications for robust separation. [Display omitted] • Lamellar crosslinking reinforces 2D MOF membranes. • The membrane shows high molecules/ions sieving properties. • The membrane is stable against shearing, bending and ultrasonication. • The membrane achieves robust permeance/selectivity for 170h. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03767388
Volume :
693
Database :
Academic Search Index
Journal :
Journal of Membrane Science
Publication Type :
Academic Journal
Accession number :
174796293
Full Text :
https://doi.org/10.1016/j.memsci.2023.122352