journal article·2026-02

Exceptional SF 6 /N 2 Separation of Metal–Organic Frameworks by Overcoming the Capacity‐Selectivity Trade‐Off via Ligand Engineering

Hong‐Xiang Nie, Hong‐Wei Chen, Hong‐Liang Huang, Li‐Bo Li, Jian‐Dong Pang, Ze Chang, Xian‐He Bu

Advanced Functional Materials· Volume 36· Issue 11
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Abstract

Abstract The effective capture of sulfur hexafluoride (SF 6 ) is crucial from both economic and environmental viewpoints. However, the investigation of low‐energy and sustainable methods for separating SF 6 from the SF 6 /N 2 mixture remains challenging. Herein, a ligand engineering strategy is employed to optimize the metal–organic framework (MOF) adsorbent for effective separation of SF 6 and N 2 . By utilizing the isoreticular chemistry with structurally similar tetracarboxylic acid ligands, a series of Al‐MOFs is constructed, enabling systematic and precise pore size optimization and surface functionalization to enhance SF 6 binding affinity. Remarkably, the compound 4 , based on 2,3,5,6‐tetrakis(4‐carboxyphenyl)pyrazine ligand, is screened to exhibit both high SF 6 uptake at low pressure (55 cm 3 g −1 at 10 kPa and 84 cm 3 g −1 at 100 kPa, 298 K) and high SF 6 /N 2 selectivity of (512 for 10/90 mixture), which surpasses most reported MOFs. Furthermore, breakthrough experiments demonstrate that these Al‐MOFs can recover high‐purity SF 6 from low‐concentration (10%) SF 6 /N 2 mixture under high‐humidity conditions, with exceptional stability over multiple cycles. Theoretical calculations reveal the supramolecular interactions between SF 6 and the framework, elucidating the mechanism behind the superior performance of these materials. This work highlights the potential of pore engineering in MOFs to overcome the selectivity‐uptake trade‐off, offering a sustainable solution for SF 6 management.
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Research context

OpenAlex topics: Metal-Organic Frameworks: Synthesis and Applications · Inorganic Fluorides and Related Compounds · Membrane Separation and Gas Transport

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

Affiliations

School of Materials Science and Engineering National Institute for Advanced Materials TKL of Metal and Molecule Based Material Chemistry Nankai University Tianjin 300350 P. R. China

Shanxi Key Laboratory of Gas Energy Efficient and Clean Utilization College of Chemical Engineering and Technology Taiyuan University of Technology Taiyuan Shanxi 030024 P. R. China

State Key Laboratory of Separation Membranes and Membrane Processes Tiangong University Tianjin 300387 P. R. China

Funding

National Natural Science Foundation of China

References (56)

Show source-provided references
1. 10.1021/es304348x10.1021/es304348x ↗
2. 10.1021/jacs.5b1179710.1021/jacs.5b11797 ↗
3. 10.1038/nature1032210.1038/nature10322 ↗
4. 10.1126/science.259.5092.19410.1126/science.259.5092.194 ↗
5. 10.1021/acs.est.6b0375810.1021/acs.est.6b03758 ↗
6. 10.5194/acp-20-7271-202010.5194/acp-20-7271-2020 ↗
7. 10.1039/D3TA05297D10.1039/D3TA05297D ↗
8. Lee S.‐J. · Sci. Technol. · 2017 · 7 · 589
9. 10.1016/j.cej.2020.12657710.1016/j.cej.2020.126577 ↗
10. 10.1016/j.energy.2005.04.00110.1016/j.energy.2005.04.001 ↗
11. 10.1093/nsr/nwac06410.1093/nsr/nwac064 ↗
12. 10.1021/acsanm.8b0200510.1021/acsanm.8b02005 ↗
13. 10.1002/anie.20030061010.1002/anie.200300610 ↗
14. 10.1039/D4TA06241H10.1039/D4TA06241H ↗
15. 10.1016/j.carbon.2019.08.03410.1016/j.carbon.2019.08.034 ↗
16. 10.1023/A:101127701816210.1023/A:1011277018162 ↗
17. 10.1126/science.aay844710.1126/science.aay8447 ↗
18. 10.1038/532435a10.1038/532435a ↗
19. 10.1039/C9CS00756C10.1039/C9CS00756C ↗
20. 10.1002/adma.20200260310.1002/adma.202002603 ↗
21. 10.1126/science.123044410.1126/science.1230444 ↗
22. 10.1038/s41586-021-03627-810.1038/s41586-021-03627-8 ↗
23. 10.1002/adfm.20241493310.1002/adfm.202414933 ↗
24. 10.1039/C8CS00688A10.1039/C8CS00688A ↗
25. Xie X.‐J. · Acc. Chem. Res. · 2025 · 6 · 195
26. 10.1038/s41467-021-27929-710.1038/s41467-021-27929-7 ↗
27. 10.1039/D2CS00442A10.1039/D2CS00442A ↗
28. 10.1016/j.chempr.2019.10.01210.1016/j.chempr.2019.10.012 ↗
29. 10.1002/anie.20210431810.1002/anie.202104318 ↗
30. 10.1039/C6EE01886F10.1039/C6EE01886F ↗
31. 10.1002/anie.20201586110.1002/anie.202015861 ↗
32. 10.1002/anie.20230288210.1002/anie.202302882 ↗
33. 10.1016/j.ccr.2022.21471410.1016/j.ccr.2022.214714 ↗
34. 10.1021/jacs.3c1203210.1021/jacs.3c12032 ↗
35. 10.1002/adma.20221041510.1002/adma.202210415 ↗
36. 10.1016/j.cej.2025.16271710.1016/j.cej.2025.162717 ↗
37. 10.1002/adfm.20250301310.1002/adfm.202503013 ↗
38. 10.1002/anie.20221301510.1002/anie.202213015 ↗
39. 10.1021/jacs.3c1049510.1021/jacs.3c10495 ↗
40. 10.1021/jacs.0c1124710.1021/jacs.0c11247 ↗
41. 10.1002/anie.20220706610.1002/anie.202207066 ↗
42. 10.1021/jacs.4c0507510.1021/jacs.4c05075 ↗
43. 10.1021/acs.chemmater.2c0200410.1021/acs.chemmater.2c02004 ↗
44. 10.1016/j.micromeso.2014.02.02810.1016/j.micromeso.2014.02.028 ↗
45. 10.1016/j.seppur.2023.12395710.1016/j.seppur.2023.123957 ↗
46. 10.1002/anie.20241930210.1002/anie.202419302 ↗
47. 10.1021/acs.jpcc.7b0029110.1021/acs.jpcc.7b00291 ↗
48. 10.1016/j.cej.2023.14485110.1016/j.cej.2023.144851 ↗
49. 10.1016/j.cej.2018.01.12910.1016/j.cej.2018.01.129 ↗
50. 10.1016/j.cej.2024.15402610.1016/j.cej.2024.154026 ↗
51. 10.1016/j.ces.2024.12087110.1016/j.ces.2024.120871 ↗
52. 10.1002/ejic.20180032110.1002/ejic.201800321 ↗
53. 10.1021/acs.chemmater.1c0113910.1021/acs.chemmater.1c01139 ↗
54. 10.1016/j.cej.2023.14514510.1016/j.cej.2023.145145 ↗
55. 10.1016/j.seppur.2022.12073910.1016/j.seppur.2022.120739 ↗
56. 10.1016/j.seppur.2022.12134010.1016/j.seppur.2022.121340 ↗