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Gao Z, Sun Y, Bai L, Li T, Guan J, Sun F, Fan F, He G, Ma C. Tuning Fluorination of Carbon Molecular Sieve Membranes with Enhanced Reverse-Selective Hydrogen Separation From Helium. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2025:e2411664. [PMID: 39838787 DOI: 10.1002/smll.202411664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2024] [Revised: 01/10/2025] [Indexed: 01/23/2025]
Abstract
Membrane technology has been explored for separating helium from hydrogen in natural gas reservoirs, a process that remains extremely challenging due to the sub-Ångstrom size difference between H2 and He molecules. Reverse-selective H2/He separation membranes offer multiple advantages over conventional helium-selective membranes, which, however, suffer from low H2/He selectivity. To address this hurdle, a novel approach is proposed to tune the ultra-micropores of carbon molecular sieves (CMS) membranes through fluorination of the polymer precursor. By incorporating -CF3 units into the backbone of Tröger's base polymers, the microporosity of CMS is tailored and reverse-selective H2/He CMS membranes are deployed with remarkable separation performance, surpassing most reported membranes. These CMS membranes exhibit a H2 permeability of 1505.2 Barrer with a notable H2/He selectivity of 3.8. Barometric sorption tests reveal preferential sorption of H2 over He in the fluorinated CMS membranes, which also demonstrate a significantly higher H2/He diffusion selectivity compared to unfluorinated samples. Material studio calculations indicate that the "slim" hydrogen molecule penetrates ultra-micropores more readily than the spherical He molecule, thus achieving reverse H2/He selectivity. This design approach offers a promising pathway for developing molecularly sieving membranes to tackle the challenging helium separation from natural gas.
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Affiliation(s)
- Zeyuan Gao
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Liaoning, Dalian, 116024, China
| | - Yongchao Sun
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Liaoning, Dalian, 116024, China
| | - Lu Bai
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Liaoning, Dalian, 116024, China
| | - Tianyou Li
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Liaoning, Dalian, 116024, China
| | - Jianyu Guan
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Liaoning, Dalian, 116024, China
| | - Fake Sun
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Liaoning, Dalian, 116024, China
| | - Fangxu Fan
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Liaoning, Dalian, 116024, China
| | - Gaohong He
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Liaoning, Dalian, 116024, China
| | - Canghai Ma
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, School of Chemical Engineering, Dalian University of Technology, Liaoning, Dalian, 116024, China
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Medi B, Vesali-Naseh M, Haddad-Hamedani M. A generalized numerical framework for solving cocurrent and counter-current membrane models for gas separation. Heliyon 2022; 8:e09053. [PMID: 35309396 PMCID: PMC8924320 DOI: 10.1016/j.heliyon.2022.e09053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 01/09/2022] [Accepted: 03/01/2022] [Indexed: 11/26/2022] Open
Abstract
Membrane separation has become a panacea for various scientific and engineering problems, including water treatment, gas separation, purification, hemodialysis, and drug delivery. Modeling and simulation of such systems are necessary for the design, analysis, and optimization of membrane separation processes. Despite numerous studies, an efficient numerical solution of such systems is an open problem, especially when speed and reliability matter. In this study, a generalized numerical framework for solving cocurrent and counter-current membrane models is proposed, which hinges on a straightforward and reliable Gauss-Seidel method with successive over-relaxation. The results confirm the speed and reliability of the proposed algorithm, while it is validated by the experimental data for the separation of a mixture of CH4 and CO2, as well as a mixture of He, CO2, N2, and CH4. The permeate outlet pressure estimation error can be reduced to any value as low as ∼10-14%, while the computational time on a personal laptop is not more than 4.5 s. This algorithm can be readily implemented in various programming languages and commercial software applications.
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Affiliation(s)
- Bijan Medi
- Department of Chemical Engineering, Hamedan University of Technology, P.O. Box 65155-579, Hamedan, Iran
| | - Masoud Vesali-Naseh
- Department of Chemical Engineering, Hamedan University of Technology, P.O. Box 65155-579, Hamedan, Iran
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Amusa AA, Ahmad AL, Adewole JK. Mechanism and Compatibility of Pretreated Lignocellulosic Biomass and Polymeric Mixed Matrix Membranes: A Review. MEMBRANES 2020; 10:E370. [PMID: 33255866 PMCID: PMC7760533 DOI: 10.3390/membranes10120370] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/05/2020] [Accepted: 11/05/2020] [Indexed: 11/16/2022]
Abstract
In this paper, a review of the compatibility of polymeric membranes with lignocellulosic biomass is presented. The structure and composition of lignocellulosic biomass which could enhance membrane fabrications are considered. However, strong cell walls and interchain hindrances have limited the commercial-scale applications of raw lignocellulosic biomasses. These shortcomings can be surpassed to improve lignocellulosic biomass applications by using the proposed pretreatment methods, including physical and chemical methods, before incorporation into a single-polymer or copolymer matrix. It is imperative to understand the characteristics of lignocellulosic biomass and polymeric membranes, as well as to investigate membrane materials and how the separation performance of polymeric membranes containing lignocellulosic biomass can be influenced. Hence, lignocellulosic biomass and polymer modification and interfacial morphology improvement become necessary in producing mixed matrix membranes (MMMs). In general, the present study has shown that future membrane generations could attain high performance, e.g., CO2 separation using MMMs containing pretreated lignocellulosic biomasses with reachable hydroxyl group radicals.
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Affiliation(s)
- Abiodun Abdulhameed Amusa
- School of Chemical Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal 14300, Pulau Pinang, Malaysia;
| | - Abdul Latif Ahmad
- School of Chemical Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal 14300, Pulau Pinang, Malaysia;
| | - Jimoh Kayode Adewole
- Process Engineering Department, International Maritime College, Sohar 322, Oman;
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Dehghani M, Asghari M, Mohammadi AH, Mokhtari M. Molecular simulation and Monte Carlo study of structural-transport-properties of PEBA-MFI zeolite mixed matrix membranes for CO 2 , CH 4 and N 2 separation. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2017.03.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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