journal article·2024-09-25

Diffusion-Regulated Interfacial Polymerization of Hierarchically Microporous Polyamide Membranes for Permselective Gas Separations

Ying Sun, Mingzhu Yan, Zhenyuan Li, Ling Wang, Xiaobo Chen, Shuangjiang Luo

ACS Applied Materials & Interfaces· Volume 16· Issue 38
Publisher page

Abstract

Interfacial polymerization has emerged as a robust method for fabricating task-specific polyamide (PA) membranes. However, the limited microporosity of highly cross-linked PA membranes constrains their effectiveness in gas separation applications. Herein, we introduce an ionic liquid (IL)-regulated interfacial polymerization process to fabricate polyamide nanofilms incorporating kinked tetrakis (4-aminophenyl) methane monomers. In situ ultraviolet–visible spectroscopy demonstrates that the diffusion of 1,3,5-benzenetricarbonyl trichloride (TMC) toward the interface increases with the IL/H 2 O ratio, leading to the formation of a more compact membrane with a higher cross-linking degree. The PA-TAM7/3–60 min membrane exhibits a CO 2 permeance of 29.8 GPU and a CO 2 /CH 4 selectivity of 109, exceeding the 2008 Robeson upper bond. Additionally, the highly cross-linked structure imparts the membranes with notable plasticization resistance. Mixed-gas tests (CO 2 /CH 4 = 50/50, v/v) reveal that the PA-TAM7/3–60 min membrane experiences only a 2% reduction in CO 2 permeance and a 10% decrease in CO 2 /CH 4 selectivity at a CO 2 partial pressure of 300 PSIG, compared to its performance at 30 PSIG. The ease of tuning membrane structure and gas separation performance, along with its excellent plasticization resistance, underscores the potential of these PA membranes for task-specific gas separations.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Membrane Separation and Gas Transport · Membrane Separation Technologies · Membrane-based Ion Separation Techniques

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

Affiliations

CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Mesoscience and Engineering, Beijing Key Laboratory of Ionic Liquids Clean Process, Institute of Process Engineering, Chinese Academy of Sciences (CAS), Beijing 100190, PR China

University of Chinese Academy of Sciences, Beijing 101408, PR China

Funding

National Natural Science Foundation of China · Chinese Academy of Sciences

References (58)

Show source-provided references
1. 10.1016/j.apenergy.2015.10.01110.1016/j.apenergy.2015.10.011 ↗
2. 10.1016/j.gee.2022.04.00110.1016/j.gee.2022.04.001 ↗
3. 10.1016/j.seppur.2022.12200410.1016/j.seppur.2022.122004 ↗
4. 10.1016/j.gee.2023.06.00310.1016/j.gee.2023.06.003 ↗
5. 10.1002/polb.2409610.1002/polb.24096 ↗
6. 10.1016/0376-7388(91)80060-J10.1016/0376-7388(91)80060-J ↗
7. 10.1016/j.memsci.2008.04.03010.1016/j.memsci.2008.04.030 ↗
8. 10.1016/j.memsci.2021.12011510.1016/j.memsci.2021.120115 ↗
9. 10.1126/science.aab053010.1126/science.aab0530 ↗
10. 10.1016/j.gee.2022.01.01610.1016/j.gee.2022.01.016 ↗
11. 10.1039/D3CS00235G10.1039/D3CS00235G ↗
12. 10.3390/polym1212281710.3390/polym12122817 ↗
13. 10.1016/j.cej.2023.14197610.1016/j.cej.2023.141976 ↗
14. 10.1002/adfm.20200705410.1002/adfm.202007054 ↗
15. 10.1016/j.memsci.2023.12185410.1016/j.memsci.2023.121854 ↗
16. 10.1038/natrevmats.2016.1810.1038/natrevmats.2016.18 ↗
17. 10.1016/j.energy.2018.05.13610.1016/j.energy.2018.05.136 ↗
18. 10.1016/j.memsci.2022.12045910.1016/j.memsci.2022.120459 ↗
19. 10.1002/adma.20200113210.1002/adma.202001132 ↗
20. 10.1016/j.cej.2023.14441410.1016/j.cej.2023.144414 ↗
21. 10.1038/nmat463810.1038/nmat4638 ↗
22. 10.1038/s41467-024-45007-610.1038/s41467-024-45007-6 ↗
23. 10.1016/j.memsci.2010.06.02210.1016/j.memsci.2010.06.022 ↗
24. 10.1016/j.memsci.2019.04.03810.1016/j.memsci.2019.04.038 ↗
25. 10.1016/j.memsci.2021.11914210.1016/j.memsci.2021.119142 ↗
26. 10.1016/j.memsci.2017.04.05210.1016/j.memsci.2017.04.052 ↗
27. 10.1016/j.reactfunctpolym.2014.09.01310.1016/j.reactfunctpolym.2014.09.013 ↗
28. 10.1016/j.memsci.2013.10.00510.1016/j.memsci.2013.10.005 ↗
29. 10.1016/j.memsci.2013.05.03710.1016/j.memsci.2013.05.037 ↗
30. 10.1016/j.seppur.2012.11.01510.1016/j.seppur.2012.11.015 ↗
31. 10.1016/j.memsci.2008.12.05510.1016/j.memsci.2008.12.055 ↗
32. 10.1016/j.desal.2011.07.04810.1016/j.desal.2011.07.048 ↗
33. 10.1038/srep2206910.1038/srep22069 ↗
34. 10.1016/j.memsci.2020.11857210.1016/j.memsci.2020.118572 ↗
35. 10.1016/j.memsci.2018.12.07810.1016/j.memsci.2018.12.078 ↗
36. 10.1002/anie.20191336010.1002/anie.201913360 ↗
37. 10.1016/j.memsci.2022.12117910.1016/j.memsci.2022.121179 ↗
38. 10.1016/j.seppur.2021.12009110.1016/j.seppur.2021.120091 ↗
39. 10.1016/j.memsci.2014.03.07210.1016/j.memsci.2014.03.072 ↗
40. 10.1021/ie901837k10.1021/ie901837k ↗
41. 10.1038/s41467-020-15771-210.1038/s41467-020-15771-2 ↗
42. 10.1002/anie.20210355510.1002/anie.202103555 ↗
43. 10.1016/j.seppur.2020.11740110.1016/j.seppur.2020.117401 ↗
44. 10.1039/C7TA07819F10.1039/C7TA07819F ↗
45. 10.1016/j.memsci.2023.12191710.1016/j.memsci.2023.121917 ↗
46. 10.1016/j.seppur.2023.12369110.1016/j.seppur.2023.123691 ↗
47. 10.1039/D2IM00049K10.1039/D2IM00049K ↗
48. 10.1002/anie.20231560710.1002/anie.202315607 ↗
49. 10.1021/acs.chemmater.6b0194910.1021/acs.chemmater.6b01949 ↗
50. 10.1016/j.micromeso.2021.11151910.1016/j.micromeso.2021.111519 ↗
51. 10.1016/j.polymertesting.2019.10628510.1016/j.polymertesting.2019.106285 ↗
52. 10.1016/j.memsci.2022.12076910.1016/j.memsci.2022.120769 ↗
53. 10.1021/ma801586f10.1021/ma801586f ↗
54. 10.1016/j.memsci.2020.11800910.1016/j.memsci.2020.118009 ↗
55. 10.1021/ma201033j10.1021/ma201033j ↗
56. 10.1007/s10853-007-1813-510.1007/s10853-007-1813-5 ↗
57. 10.1002/app.1992.07044061810.1002/app.1992.070440618 ↗
58. 10.1039/C5RA00039D10.1039/C5RA00039D ↗