Highly porous metal-organic framework glass design and application for gas separation membranes

气体分离 金属有机骨架 多孔性 材料科学 化学工程 多孔介质 分离(统计) 化学 复合材料 计算机科学 吸附 工程类 有机化学 生物化学 机器学习
作者
Shichun Li,Chao Ma,Jingwei Hou,Shuwen Yu,Aibing Chen,Juan Du,Philip A. Chater,Dean S. Keeble,Zhihua Qiao,Chongli Zhong,David A. Keen,Yu Liu,Thomas D. Bennett
出处
期刊:Nature Communications [Nature Portfolio]
卷期号:16 (1): 1622-1622 被引量:35
标识
DOI:10.1038/s41467-025-56295-x
摘要

Crystalline metal-organic frameworks (MOFs) exhibit enormous potential application in gas separation, thanks to their highly porous structures and precise pore size distributions. Nevertheless, the inherent limitations in mechanical stability of crystalline MOFs cause challenges in processing MOF powders into bulky structures, particularly for membrane filtrations. Melt-quenched MOF glasses boast excellent processability due to liquid-like properties. However, the melting process diminishes the inherent porosity, leading to reduced gas adsorption capacities and lower gas diffusion coefficients. In this work, we demonstrated that enhancing the porosity of MOF glasses is achievable through topological engineering on the crystalline precursors. Crystalline zeolitic imidazolate frameworks (ZIFs) with large 12-membered rings pores, including AFI and CAN topology, were synthesized by using both structure-directing agents and mixed organic ligands. The large pores are partially preserved in the melt-quenched glass as evidenced by high-pressure CO2 absorption at 3000 kPa. The agAFI-[Zn(Im)1.68(bIm)0.32] glass was then fabricated into self-supported membranes, which shows high gas separation performance, for example, CO2 permeance of 3.7 × 104 GPU with a CO2/N2 selectivity of 14.8. Here authors demonstrate a strategy of enhancing the porosity of MOF glasses through topological engineering. Unlike the production of inorganic porous glasses by leaching, the pore structures in MOF glasses were controlled by using a highly porous topology of the crystalline precursor.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
葳蕤苍生发布了新的文献求助10
刚刚
刚刚
刚刚
xiaozhejia完成签到,获得积分10
刚刚
兴奋傲安完成签到,获得积分20
刚刚
那你也完成签到,获得积分10
刚刚
逍遥完成签到,获得积分10
刚刚
天天快乐应助高兴寒梦采纳,获得10
1秒前
文静的摩托完成签到,获得积分10
1秒前
2秒前
liuyao完成签到,获得积分10
2秒前
2秒前
2秒前
正直从凝完成签到,获得积分10
2秒前
bwbxlb完成签到,获得积分10
3秒前
3秒前
3秒前
民族风发布了新的文献求助10
4秒前
4秒前
4秒前
科研通AI6.2应助songlina1采纳,获得10
4秒前
科研通AI6.4应助夙念采纳,获得10
4秒前
兴奋傲安发布了新的文献求助10
5秒前
5秒前
6秒前
诺与控发布了新的文献求助10
6秒前
6秒前
henyuan发布了新的文献求助10
6秒前
打工人完成签到,获得积分10
7秒前
7秒前
科研通AI6.3应助祥瑞采纳,获得10
7秒前
kamola0807发布了新的文献求助30
7秒前
无边落木发布了新的文献求助10
7秒前
8秒前
小蘑菇应助甜美的尔云采纳,获得10
8秒前
8秒前
Jasper应助贝肯尼采纳,获得10
8秒前
Kao应助xiaozimiao采纳,获得10
9秒前
xiaonini关注了科研通微信公众号
9秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7388628
求助须知:如何正确求助?哪些是违规求助? 8995058
关于积分的说明 19141432
捐赠科研通 7025450
什么是DOI,文献DOI怎么找? 3228410
关于科研通互助平台的介绍 2390817
邀请新用户注册赠送积分活动 2209510