journal article·2025-08Open access

Microporous Polymer Membranes: Molecular Stents Enhanced Solvent‐Accessibility for Organic Solvent Transport

Shuang Guo, Chuanjie Fang, Jiaqi Li, Xiaohe Wang, Weilin Feng, Hukang Guo, Ming Xie, Yongbing Zhuang, Young Moo Lee, Liping Zhu

Advanced Science· Volume 12· Issue 30

Abstract

Abstract Microporous polymer membranes with high solvent permeability are pivotal for upgrading molecular separations in organic solvents, but this remains challenging due to numerous sub‐0.4 nm ultra‐micropores resulting from local tight packing, which limit solvent‐accessibility. Herein, a microporous polyimide with high intrinsic free volume [PI‐TB‐NDI, naphthalenediimide (NDI) and Tröger's base (TB)] is synthesized for organic solvent nanofiltration. The resulting polymer showed high free volume because of fused aromatic rings and a twisted structure. Aromatic rings enhanced solvent resistance due to strong molecular interaction, but increased detrimental local tight packing as well. To suppress local tight packing without compromising the molecular interactions vital for stability, an ortho ‐methyl group is deliberately introduced onto the TB unit to increase both intra‐ and inter‐molecular steric hindrance, imparting an H‐shaped TB‐NDI‐TB molecular stent. On the introduction of ortho ‐methyl groups, the sub‐0.4 nm ultra‐micropores are enlarged to ultra‐micropores (0.6–0.7 nm) to give the membrane with rich solvent‐accessible sub‐nanochannels. This resulted in an unprecedented enhancement of solvent permeability, with ethanol permeability 2‐8 times greater than that of state‐of‐the‐art polymer membranes with similar selectivity. These findings advance the design strategy of microporous membranes with well‐tailored free volume without post‐treatments, enabling upscaling and efficient separation of precious species in organic solvents.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Membrane Separation and Gas Transport · Membrane Separation Technologies · Covalent Organic Framework Applications

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

Affiliations

MOE Key Laboratory of Macromolecular Synthesis and Functionalization MOE Engineering Research Center of Membrane and Water Treatment Technology Department of Polymer Science and Engineering Zhejiang University Hangzhou 310027 China

Department of Polymer Science and Engineering Department of Chemical Engineering University of Bath Bath BA2 7AY UK

State Key Laboratory of Biochemical Engineering Institute of Process Engineering University of Chinese Academy of Sciences Chinese Academy of Sciences Beijing 100190 China

Department of Energy Engineering College of Engineering Hanyang University Seoul 04763 South Korea

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · Fundamental Research Funds for the Central Universities

References (47)

Show source-provided references
1. 10.1038/532435a10.1038/532435a ↗
2. 10.1039/B610848M10.1039/B610848M ↗
3. 10.1002/aic.1388810.1002/aic.13888 ↗
4. 10.1002/ange.20180954810.1002/ange.201809548 ↗
5. 10.1038/2031348a010.1038/2031348a0 ↗
6. 10.1016/j.memsci.2011.02.01010.1016/j.memsci.2011.02.010 ↗
7. 10.1016/j.reactfunctpolym.2014.06.01010.1016/j.reactfunctpolym.2014.06.010 ↗
8. 10.1126/science.aab053010.1126/science.aab0530 ↗
9. 10.1039/b600349d10.1039/b600349d ↗
10. 10.1126/science.123271410.1126/science.1232714 ↗
11. 10.1002/anie.20150493410.1002/anie.201504934 ↗
12. 10.1002/ange.20221525010.1002/ange.202215250 ↗
13. 10.1002/anie.20240932210.1002/anie.202409322 ↗
14. 10.1016/j.memsci.2012.02.00810.1016/j.memsci.2012.02.008 ↗
15. 10.1002/adfm.20140040010.1002/adfm.201400400 ↗
16. 10.1126/science.aba980610.1126/science.aba9806 ↗
17. 10.1016/j.memlet.2023.10006410.1016/j.memlet.2023.100064 ↗
18. 10.1016/j.memsci.2008.02.03810.1016/j.memsci.2008.02.038 ↗
19. 10.1016/j.eurpolymj.2010.01.01610.1016/j.eurpolymj.2010.01.016 ↗
20. Ar‐nold J. C. · React. Funct. Polym. · 2015 · 86 · 2269
21. 10.1002/aic.1856410.1002/aic.18564 ↗
22. 10.1016/j.seppur.2023.12443110.1016/j.seppur.2023.124431 ↗
23. 10.1016/j.cej.2018.07.15610.1016/j.cej.2018.07.156 ↗
24. 10.1016/j.memsci.2021.12017210.1016/j.memsci.2021.120172 ↗
25. 10.1016/j.memsci.2021.11937510.1016/j.memsci.2021.119375 ↗
26. 10.1038/srep0281010.1038/srep02810 ↗
27. 10.1021/acsapm.0c0058610.1021/acsapm.0c00586 ↗
28. 10.1016/j.memsci.2022.12026810.1016/j.memsci.2022.120268 ↗
29. 10.1016/j.memsci.2022.12113110.1016/j.memsci.2022.121131 ↗
30. 10.1021/acs.est.3c0477310.1021/acs.est.3c04773 ↗
31. 10.1126/sciadv.abn954510.1126/sciadv.abn9545 ↗
32. 10.1023/A:101093340432410.1023/A:1010933404324 ↗
33. Lundberg S. M. · Adv. Neural Inform. Process. Syst. · 2017 · 30 · 4678
34. 10.1002/ange.20240974410.1002/ange.202409744 ↗
35. 10.1002/admi.20230062510.1002/admi.202300625 ↗
36. 10.1126/science.122803210.1126/science.1228032 ↗
37. 10.1107/S056774088000912010.1107/S0567740880009120 ↗
38. 10.1016/j.memsci.2020.11795110.1016/j.memsci.2020.117951 ↗
39. 10.1021/acsnano.7b0030410.1021/acsnano.7b00304 ↗
40. 10.1021/acs.jpcb.6b0680710.1021/acs.jpcb.6b06807 ↗
41. 10.1016/j.reactfunctpolym.2014.06.01010.1016/j.reactfunctpolym.2014.06.010 ↗
42. 10.1016/j.memsci.2012.07.02610.1016/j.memsci.2012.07.026 ↗
43. 10.1016/0376-7388(95)00102-I10.1016/0376-7388(95)00102-I ↗
44. 10.1002/wcms.1410.1002/wcms.14 ↗
45. 10.1021/jacs.8b0878810.1021/jacs.8b08788 ↗
46. 10.1016/S0376-7388(01)00376-310.1016/S0376-7388(01)00376-3 ↗
47. 10.1126/science.aaa505810.1126/science.aaa5058 ↗