Optimization of Operating Parameters Using Response Surface Methodology for CO2/CH4 Separation Using Polysulfone/NH2-MIL-125(Ti) Mixed Matrix Membrane

IF 4.3 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
ACS Omega Pub Date : 2025-09-25 DOI:10.1021/acsomega.5c03815
Mustafa Alsaady*, 
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引用次数: 0

Abstract

The natural world and human civilization face serious threats from global warming caused by increasing anthropogenic carbon dioxide (CO2) emissions. In this study, we examine the optimization of operating parameters within mixed matrix membranes (MMMs) using NH2-MIL-125(Ti), a metal–organic framework (MOF) dispersed within a polysulfone (PSf) polymer matrix to achieve efficient CO2/CH4 separation. Sustainable CO2 capture is the motivation behind this study, which aims to improve the membrane technology using the response surface methodology (RSM). RSM was applied (a statistical and mathematical technique) to explore the relationships among the operating parameters (temperature, feed pressure, and CO2 feed composition) that influence membrane performance and to develop an optimal model. The optimal combination of variables is determined when they are predicted individually in the optimized model, creating optimal conditions for high CO2 efficiency. The results of this study will enable the development of efficient and sustainable CO2 capture technology, promoting environmental sustainability.

响应面法优化聚砜/NH2-MIL-125(Ti)混合基质膜分离CO2/CH4的操作参数
由于人为二氧化碳排放量的增加,全球变暖对自然界和人类文明构成了严重威胁。在这项研究中,我们研究了使用分散在聚砜(PSf)聚合物基质中的金属有机骨架(MOF) NH2-MIL-125(Ti)优化混合基质膜(MMMs)内的操作参数,以实现有效的CO2/CH4分离。可持续的二氧化碳捕获是本研究背后的动机,该研究旨在利用响应面方法(RSM)改进膜技术。应用RSM(一种统计和数学技术)来探索影响膜性能的操作参数(温度、进料压力和CO2进料成分)之间的关系,并建立最佳模型。当在优化模型中单独预测变量时,确定了变量的最佳组合,从而为高CO2效率创造了最佳条件。本研究成果将促进高效、可持续的CO2捕集技术的发展,促进环境的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Omega
ACS Omega Chemical Engineering-General Chemical Engineering
CiteScore
6.60
自引率
4.90%
发文量
3945
审稿时长
2.4 months
期刊介绍: ACS Omega is an open-access global publication for scientific articles that describe new findings in chemistry and interfacing areas of science, without any perceived evaluation of immediate impact.
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