journal article·2025-12Open access

Highly Efficient C 3 H 8 /C 2 H 6 /CH 4 Separation Under Humidity Condition by a Metal–Organic Framework

Yan‐Long Zhao, Xiang‐Yu Li, Jia‐Mei Yu, Tang‐Hao Liu, Heng‐Yu Ruan, Xin Zhang, Jian‐Rong Li

Advanced Functional Materials· Volume 35· Issue 49

Abstract

Abstract The efficient purification of CH 4 from multicomponent C 3 H 8 /C 2 H 6 /CH 4 natural gas mixture under humid conditions is critical for optimizing the energy efficiency and safety of CH 4 utilization, however, developing energy‐efficient separation technologies remains an urgent priority. In this work, the efficient separation of high purity CH 4 (≥99.99%) from natural gas mixture is reported via adsorptive separation using a microporous metal–organic frameworks (MOFs) BUT‐315, which features high‐density C 3 H 8 /C 2 H 6 nano‐traps. BUT‐315 demonstrates outstanding separation selectivity for both C 3 H 8 /CH 4 (545.8) and C 2 H 6 /CH 4 (54.9), benefiting from its much higher C 3 H 8 /C 2 H 6 affinity over CH 4 as indicated by the density functional theory (DFT) calculation. Notably, BUT‐315 achieves the highest separation potential (△Q) (26.54 mmol g −1 ) for C 2 H 6 /CH 4 mixture of 10:85 ratio among reported benchmark adsorbents, ascribed to its unprecedented C 2 H 6 uptake at 0.1 bar along with its superior C 2 H 6 /CH 4 selectivity. Besides, BUT‐315 also demonstrates exceptional CH 4 productivity (10.76 mmol g −1 ) during the dynamic breakthrough experiment of ternary (C 3 H 8 /C 2 H 6 /CH 4 = 5/10/85) gas mixture. Furthermore, its excellent separation performance can well maintain at least 10 adsorption–desorption cycles, even under the introduction of humidity (RH = 70%), which is a consequence of BUT‐315′s high C 2 H 6 /H 2 O (28.8) and C 3 H 8 /H 2 O (14.8) kinetic selectivity.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Metal-Organic Frameworks: Synthesis and Applications · Covalent Organic Framework Applications · Membrane Separation and Gas Transport

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Materials Low‐Carbon Recycling Beijing University of Technology Beijing 100124 China

Beijing Key Laboratory for Green Catalysis and Separation Department of Chemical Engineering College of Materials Science and Engineering Beijing University of Technology Beijing 100124 China

College of Materials Science and Engineering Beijing University of Technology Beijing 100124 China

Funding

Natural Science Foundation of Beijing Municipality · National Natural Science Foundation of China

References (46)

Show source-provided references
1. 10.1021/acs.chemrev.6b0050510.1021/acs.chemrev.6b00505 ↗
2. 10.1021/acs.chemrev.5b0074510.1021/acs.chemrev.5b00745 ↗
3. 10.1002/adma.20180644510.1002/adma.201806445 ↗
4. 10.1016/j.cej.2015.02.04110.1016/j.cej.2015.02.041 ↗
5. 10.1038/532435a10.1038/532435a ↗
6. 10.1039/C9CS00756C10.1039/C9CS00756C ↗
7. 10.1039/b802426j10.1039/b802426j ↗
8. 10.1002/adfm.20250461410.1002/adfm.202504614 ↗
9. 10.1016/j.chempr.2019.10.01210.1016/j.chempr.2019.10.012 ↗
10. 10.1126/science.123044410.1126/science.1230444 ↗
11. 10.1126/science.aat058610.1126/science.aat0586 ↗
12. 10.1038/s41586-021-03627-810.1038/s41586-021-03627-8 ↗
13. 10.1038/s41563-018-0206-210.1038/s41563-018-0206-2 ↗
14. 10.1002/anie.20241174410.1002/anie.202411744 ↗
15. 10.1126/science.abi728110.1126/science.abi7281 ↗
16. 10.1021/jacs.4c0507510.1021/jacs.4c05075 ↗
17. 10.1002/anie.20220101710.1002/anie.202201017 ↗
18. 10.1002/adfm.20250021010.1002/adfm.202500210 ↗
19. 10.1038/s41563-022-01237-x10.1038/s41563-022-01237-x ↗
20. 10.1038/s41467-024-51522-310.1038/s41467-024-51522-3 ↗
21. 10.1038/s41557-019-0356-010.1038/s41557-019-0356-0 ↗
22. 10.1002/adfm.20242542910.1002/adfm.202425429 ↗
23. 10.1021/acsami.3c1561210.1021/acsami.3c15612 ↗
24. 10.1021/acsmaterialslett.3c0009610.1021/acsmaterialslett.3c00096 ↗
25. 10.1002/aic.1832010.1002/aic.18320 ↗
26. 10.1002/anie.20190360010.1002/anie.201903600 ↗
27. 10.1016/j.eng.2022.07.01710.1016/j.eng.2022.07.017 ↗
28. 10.1016/j.seppur.2024.12968510.1016/j.seppur.2024.129685 ↗
29. 10.1016/j.ccr.2021.21399810.1016/j.ccr.2021.213998 ↗
30. 10.1039/D5QI00316D10.1039/D5QI00316D ↗
31. 10.1038/ncomms969710.1038/ncomms9697 ↗
32. 10.1126/science.121754410.1126/science.1217544 ↗
33. 10.1016/j.seppur.2024.12982410.1016/j.seppur.2024.129824 ↗
34. 10.1021/acsami.1c1197110.1021/acsami.1c11971 ↗
35. 10.1016/j.seppur.2024.13135910.1016/j.seppur.2024.131359 ↗
36. 10.1016/S0360-5442(01)00034-210.1016/S0360-5442(01)00034-2 ↗
37. 10.1002/anie.20220813410.1002/anie.202208134 ↗
38. 10.1002/ange.20231385510.1002/ange.202313855 ↗
39. 10.1021/jacs.9b0091310.1021/jacs.9b00913 ↗
40. 10.1016/j.gee.2022.03.01510.1016/j.gee.2022.03.015 ↗
41. 10.1038/s41467-023-44424-310.1038/s41467-023-44424-3 ↗
42. 10.1038/s41467-024-47268-710.1038/s41467-024-47268-7 ↗
43. 10.1021/acsami.0c1526710.1021/acsami.0c15267 ↗
44. 10.1021/acsami.6b0070610.1021/acsami.6b00706 ↗
45. 10.1021/acs.chemmater.5b0379210.1021/acs.chemmater.5b03792 ↗
46. 10.1021/jacs.2c0544810.1021/jacs.2c05448 ↗