journal article·2020

Self-assembly of graphene oxide sheets: the key step toward highly efficient desalination

Lei Zhang, Wen Li, Mutian Zhang, Shougang Chen

Nanoscale· Volume 12· Issue 40
Publisher page

Abstract

Lamellar graphene oxide (GO) membranes are new membrane materials for seawater desalination due to their selective sub-nanometer interlayer two-dimensional channels. In general, the reliable and precise desalination of GO membranes is still heavily dependent on thick membranes that usually have a low water flux. The trade-off between the water flux and ion rejection is a long-lasting problem that restricts the development of highly efficient desalination membranes. In this work, we theoretically predicted that this trade-off can be broken by the self-assembly of GO sheets during the membrane preparation. Our molecular dynamics (MD) simulations indicate that the high-water permeability of the GO membrane is due to the frictionless flow of water in the 2D nanochannels enclosed by the non-oxidized regions of neighboring GO sheets, while the oxidized regions are responsible for the high ion rejection rate. Meanwhile, the MD simulations of the self-assembly processes of GO sheets in aqueous solutions just demonstrate that the oxidized regions of neighboring GO sheets are prone to stacking with each other, while the non-oxidized regions of neighboring GO sheets are inclined to matching with each other. Therefore, more interlayer nanochannels for fast water flow and ion rejection will be formed, respectively, after the full assembly of GO sheets during membrane preparation. Finally, based on our results, a new but simple method has been proposed to prepare GO membranes with superior desalination performance via deposition rate control.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Membrane Separation Technologies · Solar-Powered Water Purification Methods · Graphene research and applications

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

Affiliations

School of Materials Science & Engineering

Ocean University of China

Qingdao 266100

PR China

Funding

Fundamental Research Funds for the Central Universities · China Postdoctoral Science Foundation · Natural Science Foundation of Shandong Province · National Natural Science Foundation of China

References (52)

Show source-provided references
1. Mu · Environ. Sci. Technol. · 2016 · 50 · 853010.1021/acs.est.6b02494 ↗
2. Jang · Environ. Sci. Technol. · 2016 · 50 · 1002410.1021/acs.est.6b02834 ↗
3. Zhao · Environ. Sci. Technol. · 2014 · 48 · 999510.1021/es5022679 ↗
4. Hegab · J. Membr. Sci. · 2015 · 484 · 9510.1016/j.memsci.2015.03.011 ↗
5. Qian · Desalination · 2019 · 460 · 5610.1016/j.desal.2019.03.009 ↗
6. Joshi · Science · 2014 · 343 · 75210.1126/science.1245711 ↗
7. Li · Carbon · 2019 · 146 · 32010.1016/j.carbon.2019.02.007 ↗
8. Abraham · Nat. Nanotechnol. · 2017 · 12 · 54610.1038/nnano.2017.21 ↗
9. Giri · Desalination · 2019 · 460 · 110.1016/j.desal.2019.02.014 ↗
10. Rajasekaran · J. Phys. Chem. B · 2019 · 123 · 297810.1021/acs.jpcb.8b12341 ↗
11. Padmavathy · ACS Appl. Mater. Interfaces · 2019 · 11 · 756610.1021/acsami.8b20598 ↗
12. Yang · Phys. Chem. Chem. Phys. · 2019 · 21 · 762310.1039/C8CP07837H ↗
13. Chen · Nature · 2017 · 550 · 38010.1038/nature24044 ↗
14. Shen · J. Alloys Compd. · 2018 · 735 · 151410.1016/j.jallcom.2017.11.217 ↗
15. Gao · J. Membr. Sci. · 2019 · 574 · 5510.1016/j.memsci.2018.12.052 ↗
16. Liu · Ind. Eng. Chem. Res. · 2014 · 53 · 25310.1021/ie403088t ↗
17. Medhekar · ACS Nano · 2014 · 4 · 230010.1021/nn901934u ↗
18. Dreyer · Chem. Soc. Rev. · 2010 · 39 · 22810.1039/B917103G ↗
19. Zhu · Adv. Mater. · 2010 · 22 · 390610.1002/adma.201001068 ↗
20. Mkhoyan · Nano Lett. · 2009 · 9 · 105810.1021/nl8034256 ↗
21. Loh · Nat. Chem. · 2010 · 2 · 101510.1038/nchem.907 ↗
22. Bagri · Nat. Chem. · 2010 · 2 · 58110.1038/nchem.686 ↗
23. Gao · Nat. Chem. · 2009 · 1 · 40310.1038/nchem.281 ↗
24. Yan · Phys. Rev. B: Condens. Matter Mater. Phys. · 2010 · 82 · 12540310.1103/PhysRevB.82.125403 ↗
25. Hou · Cem. Concr. Res. · 2020 · 136 · 10616610.1016/j.cemconres.2020.106166 ↗
26. Hou · J. Nucl. Mater. · 2020 · 528 · 15184110.1016/j.jnucmat.2019.151841 ↗
27. Hou · Composites, Part B · 2019 · 162 · 43310.1016/j.compositesb.2018.12.142 ↗
28. Hou · Carbon · 2017 · 115 · 18810.1016/j.carbon.2017.01.013 ↗
29. Zhang · Phys. Chem. Chem. Phys. · 2020 · 22 · 1697810.1039/D0CP01792B ↗
30. Gong · J. Mol. Liq. · 2020 · 317 · 1402510.1016/j.molliq.2020.114025 ↗
31. Wang · Constr. Build. Mater. · 2020 · 257 · 11955710.1016/j.conbuildmat.2020.119557 ↗
32. Li · J. Membr. Sci. · 2020 · 596 · 11774410.1016/j.memsci.2019.117744 ↗
33. Szabo · Carbon · 2020 · 160 · 14510.1016/j.carbon.2020.01.022 ↗
34. Bayati · J. Environ. Eng. · 2019 · 145 · 0401905010.1061/(ASCE)EE.1943-7870.0001561 ↗
35. Lerf · J. Phys. Chem. B · 1998 · 102 · 447710.1021/jp9731821 ↗
36. Jin · J. Phys. Chem. C · 2018 · 122 · 406310.1021/acs.jpcc.7b12017 ↗
37. Gong · Nat. Nanotechnol. · 2007 · 2 · 70910.1038/nnano.2007.320 ↗
38. Jorgensen · J. Am. Chem. Soc. · 1996 · 118 · 1122510.1021/ja9621760 ↗
39. Eastwood · Comput. Phys. Commun. · 1980 · 19 · 21510.1016/0010-4655(80)90052-1 ↗
40. Williams · ACS Nano · 2019 · 13 · 299510.1021/acsnano.8b07573 ↗
41. Li · J. Phys. Chem. C · 2016 · 120 · 2606110.1021/acs.jpcc.6b06940 ↗
42. Nair · Science · 2012 · 335 · 44210.1126/science.1211694 ↗
43. Wei · ACS Appl. Mater. Interfaces · 2014 · 6 · 587710.1021/am500777b ↗
44. Willcox · ACS Nano · 2017 · 11 · 218710.1021/acsnano.6b08538 ↗
45. Nightingale · J. Phys. Chem. · 1959 · 63 · 138110.1021/j150579a011 ↗
46. Zhong · Energy · 2013 · 59 · 29510.1016/j.energy.2013.07.016 ↗
47. Fang · Ind. Eng. Chem. Res. · 2018 · 57 · 107110.1021/acs.iecr.7b03700 ↗
48. Li · Appl. Surf. Sci. · 2020 · 502 · 14415110.1016/j.apsusc.2019.144151 ↗
49. Wei · Langmuir · 2014 · 30 · 357210.1021/la500513x ↗
50. Li · Environ. Sci. Technol. · 2015 · 49 · 140910.1021/es504019u ↗
51. Główka · J. Mol. Struct. · 1999 · 474 · 8110.1016/S0022-2860(98)00562-6 ↗
52. Feenstra · J. Comput. Chem. · 1999 · 20 · 78610.1002/(SICI)1096-987X(199906)20:8<786::AID-JCC5>3.0.CO;2-B ↗