journal article·2024-03-20

CO2-Philic Nanocomposite Polymer Matrix Incorporated with MXene Nanosheets for Ultraefficient CO2 Capture

Chen Wang, Ji Wu, Yinglin Wang, Pengfei Cheng, Shanfu Sun, Tianliang Wang, Zhaohui Lei, Xialu Niu, Luping Xu

ACS Applied Materials & Interfaces· Volume 16· Issue 11
Publisher page

Abstract

The incorporation of two-dimensional (2D) functional nanosheets in polymeric membranes is a promising material strategy to overcome their inherent performance trade-off behavior. Herein, we report a novel nanocomposite membrane design by incorporating MXene, a 2D sheet-like nanoarchitecture known for its advantageous lamellar morphology and surface functionalities, into a cross-linked polyether block amide (Pebax)/poly(ethylene glycol) methyl ether acrylate (PEGMEA) blend matrix, which delivered exceptional CO 2 /N 2 and CO 2 /H 2 separation performances that are critical to industrial CO 2 capture applications. The finely dispersed Ti 3 C 2 T x nanosheets in the blend polymer matrix led to an expansion of the free volume within the resultant mixed matrix membrane (MMM), giving rise to a substantially enhanced CO 2 permeability of up to 1264.6 barrer, which is 102% higher than that of the pristine polymer. Moreover, these MXene-incorporated MMMs exhibited preferential sorption for CO 2 over light gases, which contributed to an exceptional CO 2 /N 2 and CO 2 /H 2 selectivity (64.3 and 19.2, respectively) even at a small loading of only 1 wt %, allowing the overall performance to not only surpass the latest upper bounds but also exceed many previously reported high-performance nanosheet-based nanocomposite membranes. Long-term performance tests have also demonstrated the good stability of these membranes. This composite membrane design strategy reveals the remarkable potential of combining a blend copolymer matrix with ultrathin MXene nanosheets to achieve superior gas separation performance for environmentally important gas separations.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Membrane Separation and Gas Transport · Covalent Organic Framework Applications · MXene and MAX Phase Materials

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

Affiliations

School of Aerospace Science and Technology, Xidian University, 266 Xifeng Road, Xi’an 710126, China

Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117585, Singapore

Funding

National Key Research and Development Program of China · Natural Science Foundation of Shanxi Province · China Postdoctoral Science Foundation · Ministry of Public Security of the People's Republic of China · Natural Science Basic Research Program of Shaanxi Province · Xidian University · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China · Inner Mongolia Autonomous Region Science and Technology Plan Project · Shaanxi Provincial University Science Association Young Talent Support Program Project

References (71)

Show source-provided references
1. 10.1016/j.memsci.2022.12092810.1016/j.memsci.2022.120928 ↗
2. 10.1038/s41467-021-23121-z10.1038/s41467-021-23121-z ↗
3. 10.1002/adma.20060114710.1002/adma.200601147 ↗
4. 10.1002/adma.20180685310.1002/adma.201806853 ↗
5. 10.1155/2014/82813110.1155/2014/828131 ↗
6. 10.1126/science.abe019210.1126/science.abe0192 ↗
7. 10.1038/s41428-022-00635-x10.1038/s41428-022-00635-x ↗
8. 10.1038/s41598-017-00433-z10.1038/s41598-017-00433-z ↗
9. 10.1016/j.pmatsci.2018.11.00210.1016/j.pmatsci.2018.11.002 ↗
10. 10.1038/ncomms581310.1038/ncomms5813 ↗
11. 10.1016/j.memsci.2008.04.03010.1016/j.memsci.2008.04.030 ↗
12. 10.1016/j.memsci.2017.12.00210.1016/j.memsci.2017.12.002 ↗
13. 10.1039/C8CS00268A10.1039/C8CS00268A ↗
14. 10.1039/C1EE02668B10.1039/C1EE02668B ↗
15. 10.1002/app.4871510.1002/app.48715 ↗
16. 10.1016/j.memsci.2021.11952710.1016/j.memsci.2021.119527 ↗
17. 10.1016/j.memsci.2019.04.02510.1016/j.memsci.2019.04.025 ↗
18. 10.1038/nmat411310.1038/nmat4113 ↗
19. 10.1016/j.jcou.2022.10209410.1016/j.jcou.2022.102094 ↗
20. 10.1021/acssuschemeng.0c0285410.1021/acssuschemeng.0c02854 ↗
21. 10.1016/j.memsci.2021.11961210.1016/j.memsci.2021.119612 ↗
22. 10.1021/acs.jpclett.5b0189510.1021/acs.jpclett.5b01895 ↗
23. 10.1002/cben.20200002610.1002/cben.202000026 ↗
24. 10.1039/C9EN01478K10.1039/C9EN01478K ↗
25. 10.1038/s41467-017-02529-610.1038/s41467-017-02529-6 ↗
26. 10.1002/adfm.20180151110.1002/adfm.201801511 ↗
27. 10.1016/j.memsci.2018.10.01710.1016/j.memsci.2018.10.017 ↗
28. 10.1039/D0TA08806D10.1039/D0TA08806D ↗
29. 10.1016/j.micromeso.2014.07.00110.1016/j.micromeso.2014.07.001 ↗
30. 10.1002/app.4989510.1002/app.49895 ↗
31. 10.1016/j.memsci.2020.11885010.1016/j.memsci.2020.118850 ↗
32. 10.1016/j.memsci.2009.10.04110.1016/j.memsci.2009.10.041 ↗
33. 10.1016/J.ENG.2017.04.00410.1016/J.ENG.2017.04.004 ↗
34. 10.1016/j.memsci.2017.08.01710.1016/j.memsci.2017.08.017 ↗
35. 10.1016/j.memsci.2018.03.07410.1016/j.memsci.2018.03.074 ↗
36. 10.1016/j.memsci.2017.01.01410.1016/j.memsci.2017.01.014 ↗
37. 10.1016/j.seppur.2008.01.00110.1016/j.seppur.2008.01.001 ↗
38. 10.1016/j.memsci.2009.12.01910.1016/j.memsci.2009.12.019 ↗
39. 10.1016/j.eng.2022.03.01610.1016/j.eng.2022.03.016 ↗
40. 10.1016/j.memsci.2022.12091710.1016/j.memsci.2022.120917 ↗
41. 10.1002/aelm.20160025510.1002/aelm.201600255 ↗
42. 10.1039/C9TA12028A10.1039/C9TA12028A ↗
43. Fontananova E. · 2016 · 188410.1007/978-3-662-44324-8_1801 ↗
44. 10.1007/s40820-021-00705-410.1007/s40820-021-00705-4 ↗
45. 10.1021/acs.chemmater.7b0284710.1021/acs.chemmater.7b02847 ↗
46. 10.1039/C7RA03402D10.1039/C7RA03402D ↗
47. 10.1002/adma.20160484710.1002/adma.201604847 ↗
48. 10.1021/acsaelm.2c0012810.1021/acsaelm.2c00128 ↗
49. 10.1016/S0376-7388(01)00514-210.1016/S0376-7388(01)00514-2 ↗
50. 10.1016/j.memsci.2021.11991210.1016/j.memsci.2021.119912 ↗
51. 10.1016/j.memsci.2018.11.02510.1016/j.memsci.2018.11.025 ↗
52. 10.1016/j.memsci.2023.12153710.1016/j.memsci.2023.121537 ↗
53. 10.1016/j.memsci.2015.11.01710.1016/j.memsci.2015.11.017 ↗
54. 10.1016/j.seppur.2019.01.04210.1016/j.seppur.2019.01.042 ↗
55. 10.1016/j.memsci.2014.02.03610.1016/j.memsci.2014.02.036 ↗
56. 10.1002/marc.20140063310.1002/marc.201400633 ↗
57. 10.1021/acsami.9b0781510.1021/acsami.9b07815 ↗
58. 10.1016/j.memsci.2016.03.05010.1016/j.memsci.2016.03.050 ↗
59. 10.1016/0376-7388(95)00102-i10.1016/0376-7388(95)00102-i ↗
60. 10.1016/S0079-6700(01)00009-010.1016/S0079-6700(01)00009-0 ↗
61. 10.1016/j.seppur.2020.11810710.1016/j.seppur.2020.118107 ↗
62. 10.1002/asia.20190143310.1002/asia.201901433 ↗
63. 10.1016/j.memsci.2021.11999110.1016/j.memsci.2021.119991 ↗
64. 10.1002/adma.20180547210.1002/adma.201805472 ↗
65. 10.1007/s40145-018-0275-310.1007/s40145-018-0275-3 ↗
66. 10.1016/j.memsci.2020.11904610.1016/j.memsci.2020.119046 ↗
67. 10.1016/j.memsci.2003.07.01010.1016/j.memsci.2003.07.010 ↗
68. 10.1016/0032-3861(95)97880-O10.1016/0032-3861(95)97880-O ↗
69. 10.1016/j.polymer.2004.12.00210.1016/j.polymer.2004.12.002 ↗
70. 10.1039/C9TA03416A10.1039/C9TA03416A ↗
71. 10.1039/C9EE01384A10.1039/C9EE01384A ↗