journal article·2025-02-11

Volatile Sieving Using Architecturally Designed Nanochannel Lamellar Membranes in Membrane Desalination

Zhigao Zhu, Xiaohui Wang, Yujun Zhou, Junwen Qi, Yue Yang, Wei Wang, Jiansheng Li

ACS Nano· Volume 19· Issue 5
Publisher page

Abstract

Thermally driven membrane desalination processes have garnered significant interest for their potential in the treatment of hypersaline wastewater. However, achieving high rejection rates for volatiles while maintaining a high water flux remains a considerable challenge. Herein, we propose a thermo-osmosis-evaporation (TOE) system that utilizes molecular intercalation-regulated graphene oxide (GO) as the thermo-osmotic selective permeation layer, positioned on a hydrophobic poly(vinylidene fluoride) fibrous membrane serving as the thermo-evaporation layer. By carefully constructing architectural interlaminar nanochannels of GO membranes via simultaneously confining small molecules to enlarge the interlayer spacing and incorporating polymers within the GO interlayers to create a dense network, the resultant demonstrates a rejection rate of 100% for NaCl and 97.41% for volatile phenylamine, with a water permeance of 63.80 L m –2 h –1 at a temperature difference of 40 °C, outperforming previously reported GO-based membranes. Simulation and calculation results reveal that the polymer network between the GO interlayers facilitates the high-efficiency separation of nonvolatile ions and volatile molecules, while the enlarged channels reduce vapor diffusion resistance. This study provides valuable insights for the design of advanced membranes and serves as inspiration for the continued development of the TOE system for complex hypersaline wastewater treatment.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Membrane Separation Technologies · Nanopore and Nanochannel Transport Studies · Membrane-based Ion Separation Techniques

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

Affiliations

Key Laboratory of New Membrane Materials, Ministry of Industry and Information Technology, School of Environmental and Biological Engineering

Nanjing University of Science and Technology

State Key Laboratory of Urban Water Resource and Environment, School of Environment

Harbin Institute of Technology

Funding

National Natural Science Foundation of China

References (64)

Show source-provided references
1. 10.1038/s41565-024-01669-310.1038/s41565-024-01669-3 ↗
2. Zhu Z. · Desalination · 2025 · 599 · 11844110.1016/j.desal.2024.118441 ↗
3. 10.1016/j.memsci.2024.12264510.1016/j.memsci.2024.122645 ↗
4. 10.1002/adma.20230795010.1002/adma.202307950 ↗
5. 10.1038/s41467-023-42204-710.1038/s41467-023-42204-7 ↗
6. 10.1021/jacs.3c1005110.1021/jacs.3c10051 ↗
7. 10.1007/s42765-022-00193-010.1007/s42765-022-00193-0 ↗
8. 10.1039/D0TA09193F10.1039/D0TA09193F ↗
9. 10.1021/acsestengg.1c0043210.1021/acsestengg.1c00432 ↗
10. 10.1021/acsestwater.1c0049610.1021/acsestwater.1c00496 ↗
11. 10.1016/j.memsci.2013.12.00210.1016/j.memsci.2013.12.002 ↗
12. 10.1021/acs.est.3c0009310.1021/acs.est.3c00093 ↗
13. 10.1038/s44221-023-00123-310.1038/s44221-023-00123-3 ↗
14. 10.1016/j.matt.2024.07.00610.1016/j.matt.2024.07.006 ↗
15. 10.1016/j.memsci.2024.12270010.1016/j.memsci.2024.122700 ↗
16. 10.1021/acsnano.1c0098710.1021/acsnano.1c00987 ↗
17. 10.1038/s41545-022-00209-710.1038/s41545-022-00209-7 ↗
18. 10.1016/j.desal.2024.11789010.1016/j.desal.2024.117890 ↗
19. 10.1021/acsnano.0c0155010.1021/acsnano.0c01550 ↗
20. 10.1021/acsnano.7b0299910.1021/acsnano.7b02999 ↗
21. 10.1021/acs.est.3c0932010.1021/acs.est.3c09320 ↗
22. 10.1021/acs.est.3c0454010.1021/acs.est.3c04540 ↗
23. 10.1016/j.matt.2023.01.02010.1016/j.matt.2023.01.020 ↗
24. 10.1016/j.memsci.2020.11783810.1016/j.memsci.2020.117838 ↗
25. 10.1039/D0TA08881A10.1039/D0TA08881A ↗
26. 10.1038/s41467-022-31807-110.1038/s41467-022-31807-1 ↗
27. 10.1002/anie.20210708510.1002/anie.202107085 ↗
28. 10.1016/j.memsci.2024.12249410.1016/j.memsci.2024.122494 ↗
29. 10.1038/s41467-017-00990-x10.1038/s41467-017-00990-x ↗
30. 10.1002/adfm.20120260110.1002/adfm.201202601 ↗
31. 10.1016/j.desal.2023.11701910.1016/j.desal.2023.117019 ↗
32. 10.1126/science.123609810.1126/science.1236098 ↗
33. 10.1016/j.memsci.2021.11946410.1016/j.memsci.2021.119464 ↗
34. 10.1021/acs.est.3c0845210.1021/acs.est.3c08452 ↗
35. 10.1016/j.seppur.2022.12097510.1016/j.seppur.2022.120975 ↗
36. 10.1038/s41467-018-03919-010.1038/s41467-018-03919-0 ↗
37. 10.1002/cmtd.20210000710.1002/cmtd.202100007 ↗
38. 10.1016/j.cej.2023.14800910.1016/j.cej.2023.148009 ↗
39. 10.1002/adma.20170577510.1002/adma.201705775 ↗
40. 10.1021/acs.est.1c0126910.1021/acs.est.1c01269 ↗
41. 10.1016/j.memsci.2020.11876810.1016/j.memsci.2020.118768 ↗
42. 10.1016/j.cej.2022.13609710.1016/j.cej.2022.136097 ↗
43. 10.1016/j.memsci.2024.12304410.1016/j.memsci.2024.123044 ↗
44. 10.1126/sciadv.ade041310.1126/sciadv.ade0413 ↗
45. 10.1016/j.memsci.2021.11976310.1016/j.memsci.2021.119763 ↗
46. 10.1021/acs.est.9b0436210.1021/acs.est.9b04362 ↗
47. 10.1038/s41467-020-15038-w10.1038/s41467-020-15038-w ↗
48. 10.1016/j.memsci.2024.12304310.1016/j.memsci.2024.123043 ↗
49. 10.1016/j.watres.2023.11998410.1016/j.watres.2023.119984 ↗
50. 10.1021/acsnano.1c0657310.1021/acsnano.1c06573 ↗
51. 10.1016/j.seppur.2017.11.05810.1016/j.seppur.2017.11.058 ↗
52. 10.1021/acs.est.7b0622710.1021/acs.est.7b06227 ↗
53. 10.1016/j.seppur.2022.12138010.1016/j.seppur.2022.121380 ↗
54. 10.1016/j.seppur.2022.12106810.1016/j.seppur.2022.121068 ↗
55. 10.1021/acs.est.0c0424210.1021/acs.est.0c04242 ↗
56. 10.1021/acs.est.1c0444310.1021/acs.est.1c04443 ↗
57. 10.1016/j.cej.2022.13916710.1016/j.cej.2022.139167 ↗
58. 10.1103/PhysRevLett.119.03800210.1103/PhysRevLett.119.038002 ↗
59. 10.1039/D0CP06556K10.1039/D0CP06556K ↗
60. 10.1515/jnet-2016-008810.1515/jnet-2016-0088 ↗
61. 10.1063/1.169361210.1063/1.1693612 ↗
62. 10.1016/j.desal.2022.11594610.1016/j.desal.2022.115946 ↗
63. 10.1038/s41565-018-0067-510.1038/s41565-018-0067-5 ↗
64. 10.1038/s41578-020-00268-710.1038/s41578-020-00268-7 ↗