journal article·2020-08-26Open access

Plasma-Made Graphene Nanostructures with Molecularly Dispersed F and Na Sites for Solar Desalination of Oil-Contaminated Seawater with Complete In-Water and In-Air Oil Rejection

Shenghao Wu, Biyao Gong, Huachao Yang, Yikuan Tian, Chenxuan Xu, Xinzheng Guo, Guoping Xiong, Tengfei Luo, Jianhua Yan, Kefa Cen, Zheng Bo, Kostya Ken Ostrikov, Timothy S. Fisher

ACS Applied Materials & Interfaces· Volume 12· Issue 34

Abstract

Solar desalination that exploits interfacial evaporation represents a promising solution to global water scarcity. Real-world feedstocks (e.g., natural seawater and contaminated water) include oil contamination issues, raising a compelling need for desalination systems that offer anti-oil-fouling capability; however, it is still challenging to prepare oil-repellent and meanwhile water-attracting surfaces. This work demonstrates a concept of molecularly dispersing functional F and Na sites on plasma-made vertically oriented graphene nanosheets to achieve an in-air and in-water oleophobic, hydrophilic surface. The graphene architecture presents high in-air (138°) and in-water (145°) oil contact angles, with simultaneously high water affinity (0°). Such surface wettability is enabled by oleophobic, hydrophobic −CFx, and hydrophilic −COONa groups of the molecules that disperse on graphene surfaces; low-dispersion (0.439 mJ m–2) and high-polarity (95.199 mJ m–2) components of the solid surface tension; and increased surface roughness produced by graphene edges. The graphene nanostructures pump water upward by capillary action but repel oil from the surface, leading to complete in-water and in-air oil rejection and universal anti-oil-fouling capability for solar desalination. Consequently, stable solar–vapor energy efficiency of more than 85% is achieved regardless of whether the feedstock is pure or oil-contaminated water (e.g., a mixture of oil floating on water, an oil-in-water emulsion), resulting in the efficient production of clean water over several days. This outstanding performance is attributed to the universal (both in-water and in-air) oleophobic wettability, together with high light absorptance contributed by nanotraps, fast interfacial heat transfer enhanced by finlike nanostructures, and accelerated evaporation enabled by sharp graphene edges.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Solar-Powered Water Purification Methods · Electrohydrodynamics and Fluid Dynamics · Membrane Separation Technologies

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

Affiliations

State Key Laboratory of Clean Energy Utilization, College of Energy Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China

Department of Mechanical & Aerospace Engineering and California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States

Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, Zhejiang 311215, China

Department of Mechanical Engineering, University of Nevada, Reno, Nevada 89557, United States

Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States

School of Chemistry and Physics, Queensland University of Technology, Brisbane, Queensland 4000, Australia

Joint CSIRO-QUT Sustainable Processes and Devices Laboratory, P. O. Box 218, Lindfield, NSW 2070, Australia

Funding

Zhejiang University · University of California, Los Angeles · China Postdoctoral Science Foundation · State Key Laboratory of Clean Energy Utilization · University of Nevada, Reno · Australian Research Council · China Scholarship Council · National Natural Science Foundation of China · National Science Foundation · Natural Science Foundation of Zhejiang Province · Chinese Communist Party Central Committe

References (60)

Show source-provided references
1. 10.1039/C8EE01146J10.1039/C8EE01146J ↗
2. 10.1038/s41565-018-0238-410.1038/s41565-018-0238-4 ↗
3. 10.1016/j.ensm.2018.10.00610.1016/j.ensm.2018.10.006 ↗
4. 10.1038/nphoton.2016.7510.1038/nphoton.2016.75 ↗
5. 10.1038/s41560-018-0260-710.1038/s41560-018-0260-7 ↗
6. 10.1038/ncomms544910.1038/ncomms5449 ↗
7. 10.1002/smll.20140107110.1002/smll.201401071 ↗
8. 10.1002/adma.20160181910.1002/adma.201601819 ↗
9. 10.1039/C8EE00567B10.1039/C8EE00567B ↗
10. 10.1073/pnas.161303111310.1073/pnas.1613031113 ↗
11. 10.1021/acsnano.7b0196510.1021/acsnano.7b01965 ↗
12. 10.1002/adma.20170259010.1002/adma.201702590 ↗
13. 10.1002/adma.20170098110.1002/adma.201700981 ↗
14. 10.1002/adma.20160373010.1002/adma.201603730 ↗
15. 10.1002/adma.20160676210.1002/adma.201606762 ↗
16. 10.1039/C7EE01804E10.1039/C7EE01804E ↗
17. 10.1002/gch2.20160000310.1002/gch2.201600003 ↗
18. 10.1016/j.nanoen.2017.09.03410.1016/j.nanoen.2017.09.034 ↗
19. 10.1016/j.nanoen.2017.09.04210.1016/j.nanoen.2017.09.042 ↗
20. 10.1021/acsnano.7b0819610.1021/acsnano.7b08196 ↗
21. 10.1021/acsenergylett.9b0261110.1021/acsenergylett.9b02611 ↗
22. 10.1039/C8EE00220G10.1039/C8EE00220G ↗
23. 10.1002/adma.20180824910.1002/adma.201808249 ↗
24. 10.1039/C9EE00692C10.1039/C9EE00692C ↗
25. 10.1002/aenm.20190128610.1002/aenm.201901286 ↗
26. 10.1021/acsami.9b1280610.1021/acsami.9b12806 ↗
27. 10.1016/j.nanoen.2018.02.01810.1016/j.nanoen.2018.02.018 ↗
28. 10.1002/smll.20150368510.1002/smll.201503685 ↗
29. 10.1038/srep4637910.1038/srep46379 ↗
30. 10.1016/j.apenergy.2018.02.03610.1016/j.apenergy.2018.02.036 ↗
31. 10.1021/acsnano.9b0570310.1021/acsnano.9b05703 ↗
32. 10.1016/j.desal.2005.02.07310.1016/j.desal.2005.02.073 ↗
33. 10.1007/s40820-019-0281-110.1007/s40820-019-0281-1 ↗
34. 10.1016/j.jcis.2019.04.03110.1016/j.jcis.2019.04.031 ↗
35. 10.1038/ncomms202710.1038/ncomms2027 ↗
36. 10.1002/adma.20120136410.1002/adma.201201364 ↗
37. 10.1002/anie.20141128310.1002/anie.201411283 ↗
38. 10.1039/c2jm32580b10.1039/c2jm32580b ↗
39. 10.1021/acs.langmuir.6b0080210.1021/acs.langmuir.6b00802 ↗
40. 10.1002/adfm.20170686710.1002/adfm.201706867 ↗
41. 10.1039/C8RA04645J10.1039/C8RA04645J ↗
42. 10.1103/PhysRevB.82.08110110.1103/PhysRevB.82.081101 ↗
43. 10.1063/1.353068510.1063/1.3530685 ↗
44. 10.1021/ie50660a00810.1021/ie50660a008 ↗
45. 10.1002/app.1969.07013081510.1002/app.1969.070130815 ↗
46. 10.1146/annurev.matsci.38.060407.13243410.1146/annurev.matsci.38.060407.132434 ↗
47. 10.1016/j.matt.2019.06.01010.1016/j.matt.2019.06.010 ↗
48. 10.1186/1556-276X-6-20210.1186/1556-276X-6-202 ↗
49. 10.1016/j.jqsrt.2014.12.01610.1016/j.jqsrt.2014.12.016 ↗
50. 10.1021/acsami.7b0716910.1021/acsami.7b07169 ↗
51. 10.1021/acsnano.7b0036710.1021/acsnano.7b00367 ↗
52. Solar Energy Analysis for Los Angeles, Ca. Solar Energy Local. 2020. https://www.solarenergylocal.com/states/california/los-angeles/.
53. 2009
54. 2011
55. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
56. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
57. 10.1103/PhysRevB.46.667110.1103/PhysRevB.46.6671 ↗
58. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
59. 10.1002/jcc.2049510.1002/jcc.20495 ↗
60. 10.1016/S1093-3263(99)00028-510.1016/S1093-3263(99)00028-5 ↗