Supercritical Ethane Processing of ZIF‐8 Membranes towards Pressure‐Resistant C3H6/C3H8 Separation.
Published In: Angewandte Chemie International Edition, 2025, v. 64, n. 12. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Yu, Kunpeng; Ji, Taotao; Wu, Mingming; Chen, Sixing; Gao, Yunlei; Yan, Jiahui; Meng, Shengyan; Hu, Wenjing; Fan, Xiao; Dong, Wenwen; Yin, Jianzhong; Liu, Yi 3 of 3
Abstract
ZIF‐8 membranes have shown great promise in industrial‐scale C3H6/C3H8 separation. Nonetheless, sustainable preparation of pressure‐resistant ZIF‐8 membranes remains a grand challenge. In this study, we pioneered the use of supercritical ethane (scC2H6) as reaction medium for preparing pressure‐resistant ZIF‐8 membranes. Membrane growth in neutral organic environment was proven to have less disturbance to structure integrity compared with supercritical CO2 (scCO2). Gas permeation results indicated that obtained ZIF‐8 membrane exhibited an ideal C3H6/C3H8 selectivity of 172.1 with C3H6 permeance of 5.9×10−9 mol ⋅ m−2 ⋅ s−1 ⋅ Pa−1. Of particular note, the membrane maintained stable C3H6/C3H8 selectivity of ~150 with C3H6 flux of ~1.6×10−3 mol ⋅ m−2 ⋅ s−1 at operation pressure of 6 bar, which was significantly different from ZIF‐8 membranes obtained from scCO2 reaction medium. Through combining with advantages of zero pollutant discharge and full ligand recovery, our protocol holds great promise in sustainable preparation of pressure‐resistant ZIF‐8 membranes towards practical application in high‐purity C3H6 production. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Angewandte Chemie International Edition. 2025/03, Vol. 64, Issue 12, p1
- Document Type:Article
- Subject Area:Mining and Mineral Resources
- Publication Date:2025
- ISSN:1433-7851
- DOI:10.1002/anie.202422709
- Accession Number:183820060
- Copyright Statement:Copyright of Angewandte Chemie International Edition is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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