journal article·2021-03-03

Decimeter-Scale Atomically Thin Graphene Membranes for Gas–Liquid Separation

Dandan Hou, Shengping Zhang, Xiaobo Chen, Ruiyang Song, Dongxu Zhang, Ayan Yao, Jiayue Sun, Wenxuan Wang, Luzhao Sun, Buhang Chen, Zhongfan Liu, Luda Wang

Publisher page

Abstract

Graphene holds great potential for fabricating ultrathin selective membranes possessing high permeability without compromising selectivity and has attracted intensive interest in developing high-performance separation membranes for desalination, natural gas purification, hemodialysis, distillation, and other gas–liquid separation. However, the scalable and cost-effective synthesis of nanoporous graphene membranes, especially designing a method to produce an appropriate porous polymer substrate, remains very challenging. Here, we report a facile route to fabricate decimeter-scale (∼15 × 10 cm2) nanoporous atomically thin membranes (NATMs) via the direct casting of the porous polymer substrate onto graphene, which was produced by chemical vapor deposition (CVD). After the vapor-induced phase-inversion process under proper experimental conditions (60 °C and 60% humidity), the flexible nanoporous polymer substrate was formed. The resultant skin-free polymer substrate, which had the proper pore size and a uniform spongelike structure, provided enough mechanical support without reducing the permeance of the NATMs. It was demonstrated that after creating nanopores by the O2 plasma treatment, the NATMs were salt-resistant and simultaneously showed 3–5 times higher gas (CO2) permeance than the state-of-the-art commercial polymeric membranes. Therefore, our work provides guidance for the technological developments of graphene-based membranes and bridges the gap between the laboratory-scale “proof-of-concept” and the practical applications of NATMs in the industry.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Graphene research and applications · Membrane Separation and Gas Transport · Membrane Separation Technologies

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

Affiliations

Institute of microelectronics, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China

Beijing Graphene Institute, Beijing 100095, China

Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China

Center for Nanochemistry, Beijing Science and Engineering Center for Nanocarbons, Peking University, Beijing 100871, China

Funding

Beijing Municipal Science & Technology Commission · Peking University ?Health Science-Information Science? Cross-Research Seed Foundation

References (54)

Show source-provided references
1. 10.1016/j.seppur.2018.12.05010.1016/j.seppur.2018.12.050 ↗
2. 10.1080/10408398.2018.147879610.1080/10408398.2018.1478796 ↗
3. 10.1146/annurev-chembioeng-111919-09194010.1146/annurev-chembioeng-111919-091940 ↗
4. Liang B. · Adv. Mater. · 2018 · 31 · 180609010.1002/adma.201806090 ↗
5. 10.1016/j.polymer.2013.05.07510.1016/j.polymer.2013.05.075 ↗
6. 10.1016/S2213-2600(20)30121-110.1016/S2213-2600(20)30121-1 ↗
7. 10.1016/j.memsci.2006.08.02910.1016/j.memsci.2006.08.029 ↗
8. Robeson L. M. · J. Membr. Sci. · 2008 · 320 · 39010.1016/j.memsci.2008.04.030 ↗
9. Das T. K. · Polym.-Plast. Technol. Eng. · 2016 · 52 · 31910.1080/03602559.2012.751410 ↗
10. 10.1016/j.chemosphere.2015.11.07510.1016/j.chemosphere.2015.11.075 ↗
11. 10.1016/j.enconman.2016.01.00410.1016/j.enconman.2016.01.004 ↗
12. 10.1016/j.polymer.2010.11.04210.1016/j.polymer.2010.11.042 ↗
13. Seo D. H. · Nat. Commun. · 2018 · 9 · 68310.1038/s41467-018-02871-3 ↗
14. 10.1039/C4CS00423J10.1039/C4CS00423J ↗
15. 10.1021/acsomega.9b0397510.1021/acsomega.9b03975 ↗
16. Noamani S. · npj Clean Water · 2019 · 2 · 2010.1038/s41545-019-0044-z ↗
17. 10.1021/acsanm.9b0176110.1021/acsanm.9b01761 ↗
18. 10.1016/j.jmst.2018.05.00810.1016/j.jmst.2018.05.008 ↗
19. 10.1002/adma.20100106810.1002/adma.201001068 ↗
20. 10.1016/j.jmat.2020.04.00910.1016/j.jmat.2020.04.009 ↗
21. 10.1038/nnano.2015.3710.1038/nnano.2015.37 ↗
22. 10.1038/nnano.2017.7210.1038/nnano.2017.72 ↗
23. Yuan Z. · ACS Nano · 2019 · 13 · 1180910.1021/acsnano.9b05779 ↗
24. 10.1088/2053-1583/ab151910.1088/2053-1583/ab1519 ↗
25. 10.1039/C7NR01921A10.1039/C7NR01921A ↗
26. 10.1021/la403969g10.1021/la403969g ↗
27. 10.1021/acs.jpclett.0c0059110.1021/acs.jpclett.0c00591 ↗
28. 10.1021/acs.jpcc.5b0616510.1021/acs.jpcc.5b06165 ↗
29. 10.1021/acs.nanolett.6b0512110.1021/acs.nanolett.6b05121 ↗
30. 10.1021/am201134910.1021/am2011349 ↗
31. 10.1126/science.aau532110.1126/science.aau5321 ↗
32. 10.1016/j.carbon.2019.07.05210.1016/j.carbon.2019.07.052 ↗
33. 10.1038/s41586-020-2070-x10.1038/s41586-020-2070-x ↗
34. 10.1126/science.aan527510.1126/science.aan5275 ↗
35. Huntington M. D. · Am. Ethnol. · 2014 · 53 · 8117
36. 10.1016/j.mtadv.2019.10005210.1016/j.mtadv.2019.100052 ↗
37. 10.1080/00222348.2011.55760610.1080/00222348.2011.557606 ↗
38. 10.1021/ie302051a10.1021/ie302051a ↗
39. 10.1016/j.memsci.2013.04.00910.1016/j.memsci.2013.04.009 ↗
40. 10.3390/app702018110.3390/app7020181 ↗
41. Sun H. · J. Membr. Sci. · 2007 · 295 · 210.1016/j.memsci.2007.02.019 ↗
42. 10.1016/S0011-9164(00)88244-210.1016/S0011-9164(00)88244-2 ↗
43. 10.1038/nnano.2011.12310.1038/nnano.2011.123 ↗
44. 10.1021/acs.nanolett.7b0044210.1021/acs.nanolett.7b00442 ↗
45. 10.1002/admi.20160106510.1002/admi.201601065 ↗
46. O’Hern S. C. · Nano Lett. · 2014 · 14 · 123410.1021/nl404118f ↗
47. 10.1016/j.diamond.2016.01.00810.1016/j.diamond.2016.01.008 ↗
48. Sun L. · Nano Res. · 2016 · 10 · 35510.1007/s12274-016-1297-1 ↗
49. 10.1002/adma.20160040310.1002/adma.201600403 ↗
50. 10.1039/C6CS00915H10.1039/C6CS00915H ↗
51. 10.1002/jrs.528710.1002/jrs.5287 ↗
52. 10.1039/C5NR04664E10.1039/C5NR04664E ↗
53. Lee G. · J. Vac. Sci. Technol., A · 2015 · 33 · 06060210.1116/1.4926378 ↗
54. 10.1021/nl201432g10.1021/nl201432g ↗