journal article·2019-02-27Open access

Effects of Edge Functional Groups on Water Transport in Graphene Oxide Membranes

Ruosang Qiu, Shi Yuan, Jie Xiao, Xiao Dong Chen, Cordelia Selomulya, Xiwang Zhang, Meng Wai Woo

Abstract

Graphene oxide (GO) membranes assembled by GO nanosheets exhibit high water flux because of the unique water channels formed by their functionalized layer-by-layer structure. Although water transport in the GO membrane is in principle influenced by the functional groups at the edges of GO nanosheets, this is yet to be fully understood. To fill this knowledge gap, molecular dynamics simulation was employed in this work to gain insights into the influences of three typical edge functional groups of GO nanosheets: carboxyl (COOH), hydroxyl (OH), and hydrogen (H). A well-controlled numerical analysis with complete isolation of the functional groups at the edges was undertaken. The results reveal that the COOH group has a negative impact on water transport because of its relatively large steric geometric structure, which resists water flow. By contrast, the OH group promotes water transport by uniquely "pulling" water molecules across the nanosheet layer because of its relatively stronger interaction with water. The H atom promotes water transport as well, mainly because of its low-resistance steric structure. Moreover, the size of the inter-edge hub has an apparent impact on the influence of these functional groups on water transport. The results suggest that in the design of high water flux GO membranes, it would be strategic to remove COOH edge functional groups while maintaining a mixture of OH and H edge functional groups.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Membrane Separation Technologies · Graphene research and applications · Nanopore and Nanochannel Transport Studies

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

Affiliations

Department of Chemical Engineering, Monash University, Clayton, Victoria 3800, Australia

China-Australia Joint Research Center in Future Dairy Manufacturing, School of Chemical and Environmental Engineering, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, Jiangsu Province 215123, PR China

Funding

Ministry of Science and Technology of the People's Republic of China · Department of Industry and Science, Australian Government

References (40)

Show source-provided references
1. 10.1126/science.120048810.1126/science.1200488 ↗
2. 10.1016/j.desal.2006.12.00910.1016/j.desal.2006.12.009 ↗
3. 10.1039/c6ta07350f10.1039/c6ta07350f ↗
4. 10.1126/science.121169410.1126/science.1211694 ↗
5. 10.1016/j.memsci.2014.12.03910.1016/j.memsci.2014.12.039 ↗
6. 10.1021/acs.est.6b0571110.1021/acs.est.6b05711 ↗
7. Yang E. · J. Membr. Sci. · 2017 · 547 · 7310.1016/j.memsci.2017.10.039 ↗
8. 10.1038/ncomms397910.1038/ncomms3979 ↗
9. 10.1021/acsnano.7b0299910.1021/acsnano.7b02999 ↗
10. 10.1038/srep0230910.1038/srep02309 ↗
11. 10.1021/acs.jpcc.5b0734510.1021/acs.jpcc.5b07345 ↗
12. 10.1039/c8cp00813b10.1039/c8cp00813b ↗
13. 10.1021/acsnano.7b0541910.1021/acsnano.7b05419 ↗
14. 10.1002/pssb.20177025410.1002/pssb.201770254 ↗
15. 10.1038/srep2948410.1038/srep29484 ↗
16. 10.1016/j.desal.2017.08.01310.1016/j.desal.2017.08.013 ↗
17. 10.1021/acsami.7b0530710.1021/acsami.7b05307 ↗
18. 10.1021/acs.jpcc.6b0975310.1021/acs.jpcc.6b09753 ↗
19. 10.1039/c7cp08281a10.1039/c7cp08281a ↗
20. 10.1021/acsnano.6b0853810.1021/acsnano.6b08538 ↗
21. 10.1021/acs.jpcc.7b0606310.1021/acs.jpcc.7b06063 ↗
22. 10.1038/nnano.2017.2110.1038/nnano.2017.21 ↗
23. 10.1021/acs.jpcc.6b0533710.1021/acs.jpcc.6b05337 ↗
24. 10.1063/1.495368510.1063/1.4953685 ↗
25. 10.1021/am500777b10.1021/am500777b ↗
26. 10.1021/nl402029210.1021/nl4020292 ↗
27. 10.1038/nature1429510.1038/nature14295 ↗
28. 10.1021/jp973182110.1021/jp9731821 ↗
29. 10.1039/b917103g10.1039/b917103g ↗
30. Marsili M. · Croat. Chem. Acta · 1981 · 53 · 601
31. 10.1016/0040-4020(80)80168-210.1016/0040-4020(80)80168-2 ↗
32. 10.1016/j.cplett.2010.02.06310.1016/j.cplett.2010.02.063 ↗
33. 10.1063/1.490687710.1063/1.4906877 ↗
34. 10.1063/1.44586910.1063/1.445869 ↗
35. Giorgino T. · Comput. Phys. Commun. · 2013 · 185 · 31710.1016/j.cpc.2013.08.022 ↗
36. Frenkel, D.; Smit, B. Understanding Molecular Simulation: From Algorithms to Applications; Academic Press, Inc., 1996; p 66.10.1063/1.881812 ↗
37. 10.1103/physreve.60.675710.1103/physreve.60.6757 ↗
38. 10.1039/b811126j10.1039/b811126j ↗
39. 10.1021/jp037589j10.1021/jp037589j ↗
40. 10.1016/s0927-7757(02)00491-010.1016/s0927-7757(02)00491-0 ↗