journal article·2023-02-15

Cross-Linked and Doped Graphene Oxide Membranes with Excellent Antifouling Capacity for Rejection of Antibiotics and Salts

Huaiyang Zhou, Jilai Gong, Juan Li, Biao Song, Siyuan Fang, Yuwen Wang, Liangxiu Tang, Ping Peng

Publisher page

Abstract

Graphene oxide (GO) membranes have suffered from the instability of water permeability and low rejection of pollutant separation. In this paper, a reasonable modification protocol for GO nanosheets at the molecular level was proposed. A molecular cross-linking strategy was adopted to regulate the interlayer spacing of GO nanosheets, and nanofiltration membranes with high water stability and excellent antifouling capacity were prepared, which could effectively reject antibiotics and salts. The GO 1 -MPD 0.5 (the mass ratio of GO nanosheets to MPD is 1:0.5) and GO/GO 1 -MPD 0.5 -0.25 (the doping ratio of GO 1 -MPD 0.5 is 25%) membranes had stable water permeability of 4.22 ± 0.06 and 3.65 ± 0.11 L m –2 h –1 bar –1, and the rejection rates for ciprofloxacin (CIP) and ofloxacin (OFX) were 93.35 ± 3.62 and 95.48 ± 2.97 and 85.89 ± 6.52 and 88.21 ± 3.67%, respectively. Molecular dynamics simulations well explained the high water stability of membranes, and the cross-linked hydrophobic benzene ring played a role in the rejection of pollutant molecules. Moreover, the GO 1 -MPD 0.5 membrane showed excellent antifouling capacity and the flux recovery ratio (FRR) was more than 98%. This paper provides a new idea for the design of nanofiltration membranes with high stability and good rejection permeability at the molecular level and provides a prospect for the application of nanofiltration membranes in practical water treatment and water purification.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Membrane Separation Technologies · Graphene and Nanomaterials Applications · Graphene research and applications

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

Affiliations

College of Environmental Science and Engineering, Key Laboratory of Environmental Biology and Pollution Control, Hunan University, Ministry of Education, Changsha410082, P. R. China

Shenzhen Institute, Hunan University, Shenzhen518000, P. R. China

College of Materials Science and Engineering, Hunan University, Changsha410082, P. R. China

Funding

Natural Science Foundation of Hunan Province · Science, Technology and Innovation Commission of Shenzhen Municipality · National Natural Science Foundation of China · Guangdong Basic and Applied Basic Research Foundation

References (55)

Show source-provided references
1. 10.1038/nature0659910.1038/nature06599 ↗
2. 10.1021/acs.est.5b0072910.1021/acs.est.5b00729 ↗
3. 10.1016/j.envpol.2011.12.03410.1016/j.envpol.2011.12.034 ↗
4. 10.1016/j.seppur.2018.09.00310.1016/j.seppur.2018.09.003 ↗
5. 10.1016/j.scitotenv.2013.01.03210.1016/j.scitotenv.2013.01.032 ↗
6. 10.1016/j.watres.2012.11.02710.1016/j.watres.2012.11.027 ↗
7. 10.1111/j.1462-2920.2006.01054.x10.1111/j.1462-2920.2006.01054.x ↗
8. 10.1016/j.jcis.2011.11.01510.1016/j.jcis.2011.11.015 ↗
9. 10.1021/es400708w10.1021/es400708w ↗
10. 10.1016/j.biortech.2016.11.04210.1016/j.biortech.2016.11.042 ↗
11. 10.1016/j.watres.2011.03.00910.1016/j.watres.2011.03.009 ↗
12. 10.1016/j.apcatb.2013.03.03510.1016/j.apcatb.2013.03.035 ↗
13. 10.1016/j.watres.2008.05.02010.1016/j.watres.2008.05.020 ↗
14. 10.1002/adfm.20120260110.1002/adfm.201202601 ↗
15. 10.1016/j.desal.2017.07.02310.1016/j.desal.2017.07.023 ↗
16. 10.1016/j.memsci.2014.11.01910.1016/j.memsci.2014.11.019 ↗
17. 10.1016/j.cej.2019.02.07510.1016/j.cej.2019.02.075 ↗
18. 10.1021/es400571g10.1021/es400571g ↗
19. 10.1016/j.apmt.2015.06.00210.1016/j.apmt.2015.06.002 ↗
20. 10.1021/nn101781v10.1021/nn101781v ↗
21. 10.1021/acs.est.8b0052410.1021/acs.est.8b00524 ↗
22. 10.1038/s41467-018-03919-010.1038/s41467-018-03919-0 ↗
23. 10.1021/acsami.9b1801810.1021/acsami.9b18018 ↗
24. 10.1126/science.aab053010.1126/science.aab0530 ↗
25. 10.1016/j.cej.2017.04.06810.1016/j.cej.2017.04.068 ↗
26. 10.1038/nature2404410.1038/nature24044 ↗
27. 10.1021/acs.est.0c0538710.1021/acs.est.0c05387 ↗
28. 10.1016/j.memsci.2006.12.00710.1016/j.memsci.2006.12.007 ↗
29. 10.1021/acsami.8b1983410.1021/acsami.8b19834 ↗
30. 10.1021/acsami.0c2065210.1021/acsami.0c20652 ↗
31. 10.1016/j.seppur.2019.03.04110.1016/j.seppur.2019.03.041 ↗
32. 10.1016/j.memsci.2015.02.04510.1016/j.memsci.2015.02.045 ↗
33. 10.1016/j.carbon.2018.04.06210.1016/j.carbon.2018.04.062 ↗
34. 10.1021/la901441p10.1021/la901441p ↗
35. 10.1016/j.carbon.2018.10.05810.1016/j.carbon.2018.10.058 ↗
36. 10.1021/cm500787310.1021/cm5007873 ↗
37. 10.1515/pac-2014-120610.1515/pac-2014-1206 ↗
38. 10.1016/j.desal.2020.11435210.1016/j.desal.2020.114352 ↗
39. 10.1016/j.memsci.2021.11956210.1016/j.memsci.2021.119562 ↗
40. 10.1016/j.cej.2019.12340010.1016/j.cej.2019.123400 ↗
41. 10.1016/j.powtec.2017.08.04010.1016/j.powtec.2017.08.040 ↗
42. 10.1021/es200345q10.1021/es200345q ↗
43. 10.1016/j.seppur.2020.11747510.1016/j.seppur.2020.117475 ↗
44. 10.1073/pnas.071043710510.1073/pnas.0710437105 ↗
45. 10.1016/j.memsci.2013.10.07010.1016/j.memsci.2013.10.070 ↗
46. 10.1016/j.memsci.2018.01.03910.1016/j.memsci.2018.01.039 ↗
47. 10.1016/j.memsci.2015.09.06510.1016/j.memsci.2015.09.065 ↗
48. 10.1021/acsami.6b1282610.1021/acsami.6b12826 ↗
49. 10.1016/j.desal.2011.11.00310.1016/j.desal.2011.11.003 ↗
50. 10.1016/j.jhazmat.2020.12312110.1016/j.jhazmat.2020.123121 ↗
51. 10.1016/j.seppur.2020.11677010.1016/j.seppur.2020.116770 ↗
52. 10.1002/adv.2213710.1002/adv.22137 ↗
53. 10.1016/j.memsci.2018.12.04610.1016/j.memsci.2018.12.046 ↗
54. 10.1016/j.apsusc.2017.09.21210.1016/j.apsusc.2017.09.212 ↗
55. 10.1016/j.memsci.2014.01.05010.1016/j.memsci.2014.01.050 ↗