journal article·2025-07-25

Size–Thickness Compatibility: Unlocking the Potential of Nanosheet-Incorporated Membranes

Qing Fang, Qin Liu, Zongli Xie, Matthew R. Hill, Kaisong Zhang

ACS Applied Nano Materials· Volume 8· Issue 29
Publisher page

Abstract

Size-dependent two-dimensional (2D) materials exhibiting permselectivity and structural stability have emerged as promising additives to enhance membrane performance. However, the influence of nanosheet size and its interaction with membrane thickness remain largely unexplored, resulting in a critical gap in the understanding of their contribution to membrane performance. In this study, poly(trimethylsilylpropyne) (PTMSP) membranes incorporating molybdenum sulfide (MoS 2 ) nanosheets of varying sizes (300, 600, and 1000 nm) were fabricated on polysulfone (PSf) substrates and tested for organic solvent nanofiltration (OSN). The smaller nanosheets (300 nm) demonstrated superior specific surface area and dispersibility, leading to hybrid membranes with enhanced free volume, electronegativity, and mechanical strength. The optimal membrane (MoS 2 –PTMSP 300–300 ) with 2.91 wt % MoS 2 loading achieved a methanol permeance of 8.17 L·m –2 ·h –1 ·bar –1 and a rejection of 98.65% for rose bengal (RB). In contrast, larger nanosheets (1000 nm) formed parallel alignments, which negatively impacted membrane permeance. Furthermore, the uniform distribution and strong compatibility of smaller nanosheets with the polymer matrix contributed to the long-term stability of the membranes. These findings highlight the pivotal role of nanosheet size in determining membrane performance, and provide valuable insights for the design of nanocomposite membranes with tunable thickness using size-dependent 2D materials.
Source: openalex_inverted_index · Quality: baseline

Research context

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

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

Affiliations

State Key Laboratory of Bioinspired Interfacial Materials Science, Suzhou Institute for Advanced Research

University of Science and Technology of China

College of Harbour and Coastal Engineering

Jimei University

CSIRO, Private Bag 33, Clayton South MDC, Victoria 3169, Australia

Monash Centre for Membrane Innovation, Monash University, Clayton, Melbourne, Victoria 3169, Australia

College of Environmental Science and Engineering

Ocean University of China

Key Lab of Marine Environment and Ecology, Ministry of Education

Funding

Fujian Provincial Department of Science and Technology · National Key Research and Development Program of China · Ocean University of China · Bureau of International Cooperation, Chinese Academy of Sciences · Suzhou Key Laboratory of Bioinspired Interfacial Science

References (40)

Show source-provided references
1. 10.1126/science.abm768610.1126/science.abm7686 ↗
2. 10.1126/sciadv.ado433210.1126/sciadv.ado4332 ↗
3. 10.1021/cr500006j10.1021/cr500006j ↗
4. 10.1016/j.memsci.2023.12169410.1016/j.memsci.2023.121694 ↗
5. 10.1126/science.114674410.1126/science.1146744 ↗
6. 10.1126/science.aab053010.1126/science.aab0530 ↗
7. 10.1021/acsami.4c1147210.1021/acsami.4c11472 ↗
8. 10.1021/acsami.8b1271410.1021/acsami.8b12714 ↗
9. 10.1021/acsanm.4c0300210.1021/acsanm.4c03002 ↗
10. 10.1016/j.memsci.2023.12157410.1016/j.memsci.2023.121574 ↗
11. 10.1016/j.seppur.2023.12529610.1016/j.seppur.2023.125296 ↗
12. 10.1016/j.memsci.2021.11980810.1016/j.memsci.2021.119808 ↗
13. 10.1016/j.memsci.2024.12265610.1016/j.memsci.2024.122656 ↗
14. 10.1038/s41545-024-00320-x10.1038/s41545-024-00320-x ↗
15. 10.1016/j.desal.2020.11442110.1016/j.desal.2020.114421 ↗
16. 10.1016/j.desal.2007.06.00310.1016/j.desal.2007.06.003 ↗
17. 10.1002/jctb.645610.1002/jctb.6456 ↗
18. 10.1016/j.memsci.2017.02.02910.1016/j.memsci.2017.02.029 ↗
19. 10.1021/acsami.7b0229510.1021/acsami.7b02295 ↗
20. 10.1016/j.memsci.2020.11891110.1016/j.memsci.2020.118911 ↗
21. 10.1016/j.seppur.2022.12093710.1016/j.seppur.2022.120937 ↗
22. 10.1016/j.jcis.2017.09.06210.1016/j.jcis.2017.09.062 ↗
23. 10.1063/1.167706710.1063/1.1677067 ↗
24. 10.1126/science.119497510.1126/science.1194975 ↗
25. 10.1016/j.desal.2018.12.01610.1016/j.desal.2018.12.016 ↗
26. 10.1039/c2cc34192a10.1039/c2cc34192a ↗
27. Harik V. · 2018 · 21310.1016/B978-0-12-811071-3.00009-3 ↗
28. 10.1016/j.chemosphere.2022.13372810.1016/j.chemosphere.2022.133728 ↗
29. 10.1039/c3ta11131h10.1039/c3ta11131h ↗
30. 10.1016/j.memsci.2014.06.05310.1016/j.memsci.2014.06.053 ↗
31. 10.1016/j.desal.2018.03.03110.1016/j.desal.2018.03.031 ↗
32. 10.1016/j.memsci.2023.12171210.1016/j.memsci.2023.121712 ↗
33. 10.1016/j.memsci.2012.06.03610.1016/j.memsci.2012.06.036 ↗
34. 10.1038/natrevmats.2016.7810.1038/natrevmats.2016.78 ↗
35. 10.1016/j.desal.2018.03.03110.1016/j.desal.2018.03.031 ↗
36. 10.1016/j.memsci.2019.11752610.1016/j.memsci.2019.117526 ↗
37. 10.1080/15422119.2016.119646010.1080/15422119.2016.1196460 ↗
38. 10.1016/j.memsci.2009.07.02610.1016/j.memsci.2009.07.026 ↗
39. 10.1016/j.memsci.2008.04.02610.1016/j.memsci.2008.04.026 ↗
40. 10.1016/j.seppur.2022.12093710.1016/j.seppur.2022.120937 ↗