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Received April 21, 2020
Accepted July 31, 2020
- This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Mixed matrix composite membranes based on amination of reduced graphene oxide for CO2 separation: Effects of heating time and nanofiller loading
Gishedaraankumar Krishnan1
Safia Syazana Mohtar2
Farhana Aziz1 2†
Juhana Jaafar1 2
Norhaniza Yusof1 2
Wan Norharyati Wan Salleh1 2
Ahmad Fauzi Ismail1 2
1School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia 2Advanced Membrane Technology Research Centre (AMTEC), Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
Korean Journal of Chemical Engineering, December 2020, 37(12), 2287-2294(8), 10.1007/s11814-020-0649-4
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Abstract
The CO2 gas separation performance of aminated reduced graphene oxide (A-rGO) incorporated PEBAX mixed matrix composite membranes, by means of amination heating time and A-rGO loading, is reported. The 5 h of heating time resulted in an essential molecular sieving property for CO2 separation, thus used in membrane fabrication. The selective PEBAX/A-rGO5 layers were fabricated on top of the polysulfone supporting layer by a dip-coating method. The A-rGO was well-dispersed, the selective and support layers were seamlessly attached. The CO2 permeability and CO2/N2 selectivity of the PEBAX/A-rGO5 was greater than that of pristine PEBAX. 3wt% of A-rGO5 loading resulted as the optimum since the gas selectivity decreased at higher loading. The PEBAX/A-rGO5 performance, which was slightly above the Robeson 2008 upper bound of permeability-selectivity relation for CO2/N2 gas separation, shows a promising application for industrial CO2 gas separation process.
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References
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Alqaheem Y, Alomair A, Vinoba M, Perez A, Int. J. Polym. Sci., 2017 (2017)
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