膜
解耦(概率)
渗透
材料科学
偶氮苯
位阻效应
化学工程
纳米技术
表面改性
蒸馏
分馏
配体(生物化学)
生物系统
化学物理
功能群
分散性
理论(学习稳定性)
分子动力学
密度泛函理论
化学
工作(物理)
空间构型
碳氢化合物
气体分离
碳氢化合物混合物
调制(音乐)
金属有机骨架
色谱法
作者
Weijian Sun,Kaicheng Yang,Yifan Zhao,Liping Sun,Qingchi Xu,Jian Weng,Jun Xu
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2026-02-20
卷期号:12 (8): eadz7972-eadz7972
被引量:2
标识
DOI:10.1126/sciadv.adz7972
摘要
Traditional petroleum distillation faces high energy demands, necessitating innovative alternatives like membrane separation. This study presents a breakthrough in dual-range and precise pore size modulation of metal-organic frameworks (MOFs) through a ligand functionalization strategy. By tailoring steric configurations and spatial orientations of light-responsive azobenzene groups, we achieved broad-range pore tuning (0.41 to 0.68 nanometers) via functional group length variation, coupled with subnanometer precision through reversible trans-to-cis photoisomerization. Four representative branched alkanes were selected to validate the MOF’s high selectivity. Results showed its capacity to generate a constant carbon-atom-count–dependent permeation gradient, realizing a four-step sequential separation that increased C 6 H 14 purity from 25 to 92.2%. This synergistic approach uniquely combines large-scale pore adjustment with dynamic fine-tuning, decoupling separation efficiency from energy-intensive processes. The membranes’ structural stability and reversible light responsiveness further highlight their potential for sustainable hydrocarbon processing. By integrating molecular design with stimuli-responsive control, this work advances MOF-based membranes as a transformative solution for energy-efficient petroleum fractionation and precise molecular sieving.
科研通智能强力驱动
Strongly Powered by AbleSci AI