Modifying polysulfone dual-layer hollow fiber membrane with amine-functionalized bimetallic MOF (PEI@HKUST-1(Cu, Mg)) for improved mechanical stability and CO2/CH4 separation performance

IF 7.2 2区 工程技术 Q1 ENGINEERING, CHEMICAL Journal of Environmental Chemical Engineering Pub Date : 2025-02-01 DOI:10.1016/j.jece.2024.114913
Asmat Ullah Khan , Ojo Samuel , Mohd Hafiz Dzarfan Othman , Mohammad Younas , Roziana Kamaludin , Zahid Iqbal Khan , Mohammed Faleh Abd Al-Ogaili , Naoko Yoshida , Tonni Agustiono Kurniawan , Mohd Hafiz Puteh , Farahdila Kadirkhan , Muhammad Omer Aijaz , Mohammad Rezaul Karim
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Abstract

As the demand for cleaner energy sources and carbon dioxide (CO2) capture technologies increases, membrane-based separation is increasingly seen as a viable, scalable, and eco-friendly option. However, fabricating mechanically stable membranes with high permeance and selectivity remains a significant challenge, owing to the limited CO2 affinity sites and transport channels inside the membrane. This study investigates integrating the unique properties of metal-organic frameworks (MOFs) with the structural benefits of dual-layer hollow fiber (DLHF) membranes. Herein, a polyethyleneimine (PEI) functionalized bimetallic MOF (PEI@HKUST-1(Cu, Mg)) as filler was blended to polysulfone(PSf) matrix to fabricate MOF/PSf mixed matrix membrane (MMM) through co-extrusion and dry-jet wetting spinning process. The open metal sites (Cu2+ and Mg2+), high porosity, and the CO2-philicity of the amine groups of the PEI-functionalized MOF could create additional CO2 binding sites and transport channels, thus promoting the rapid permeation of CO2 molecules through the membrane. The improved affinity among the organic linker, amines group, and polymer chains facilitated the formation of defect-free hollow fibers. Notably, the tensile strength increases from 4.51 MPa to 8.78 MPa for pure membranes to 10 wt% MOF-loaded membranes, showing a direct correlation between fiber strength and MOF loadings. The optimized membrane containing 5 wt% PEI@HKUST-1(Cu, Mg) exhibited a CO2 permeance of 28 GPU and a CO2/CH4 selectivity of 51, displaying an increase of 75 % and 85.45 %, respectively, over the pure PSf membrane. These findings suggest that incorporating amine-functionalized MOFs can enhance the CO2 separation performance and mechanical stability of hollow fiber membranes used in natural gas purification.
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用胺功能化双金属 MOF(PEI@HKUST-1(Cu, Mg))改性聚砜双层中空纤维膜,提高机械稳定性和 CO2/CH4 分离性能
随着对清洁能源和二氧化碳捕获技术需求的增加,膜分离越来越被视为一种可行的、可扩展的、环保的选择。然而,由于膜内的CO2亲和位点和运输通道有限,制造具有高透性和选择性的机械稳定膜仍然是一个重大挑战。本研究探讨了将金属有机骨架(mof)的独特性能与双层中空纤维(DLHF)膜的结构优势相结合。本文以聚乙烯亚胺(PEI)功能化的双金属MOF (PEI@HKUST-1(Cu, Mg))为填料,与聚砜(PSf)基体共挤出和干喷湿纺丝法制备MOF/PSf混合基膜(MMM)。pei功能化MOF的开放金属位(Cu2+和Mg2+)、高孔隙度和胺基的亲CO2性可以创造额外的CO2结合位点和运输通道,从而促进CO2分子通过膜的快速渗透。有机连接剂、胺基和聚合物链之间亲和性的提高促进了无缺陷中空纤维的形成。值得注意的是,纯膜的拉伸强度从4.51 MPa增加到8.78 MPa,而MOF负载的膜则增加到10 wt%,这表明纤维强度和MOF负载之间存在直接相关性。优化后的膜含有5 wt% PEI@HKUST-1(Cu, Mg),其CO2透过率为28 GPU, CO2/CH4选择性为51,分别比纯PSf膜提高了75 %和85.45 %。综上所述,添加胺功能化mof可以提高天然气净化中空纤维膜的CO2分离性能和机械稳定性。
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来源期刊
Journal of Environmental Chemical Engineering
Journal of Environmental Chemical Engineering Environmental Science-Pollution
CiteScore
11.40
自引率
6.50%
发文量
2017
审稿时长
27 days
期刊介绍: The Journal of Environmental Chemical Engineering (JECE) serves as a platform for the dissemination of original and innovative research focusing on the advancement of environmentally-friendly, sustainable technologies. JECE emphasizes the transition towards a carbon-neutral circular economy and a self-sufficient bio-based economy. Topics covered include soil, water, wastewater, and air decontamination; pollution monitoring, prevention, and control; advanced analytics, sensors, impact and risk assessment methodologies in environmental chemical engineering; resource recovery (water, nutrients, materials, energy); industrial ecology; valorization of waste streams; waste management (including e-waste); climate-water-energy-food nexus; novel materials for environmental, chemical, and energy applications; sustainability and environmental safety; water digitalization, water data science, and machine learning; process integration and intensification; recent developments in green chemistry for synthesis, catalysis, and energy; and original research on contaminants of emerging concern, persistent chemicals, and priority substances, including microplastics, nanoplastics, nanomaterials, micropollutants, antimicrobial resistance genes, and emerging pathogens (viruses, bacteria, parasites) of environmental significance.
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