journal article·2019-07-31

Ultrafast-Selective Nanofiltration of an Hybrid Membrane Comprising Laminated Reduced Graphene Oxide/Graphene Oxide Nanoribbons

Kyeong Min Cho, Hyeong-Jin Lee, Yoon Tae Nam, Yong-Jae Kim, Chansol Kim, Kyoung Min Kang, Claudio Adrian Ruiz Torres, Dae Woo Kim, Hee-Tae Jung

ACS Applied Materials & Interfaces· Volume 11· Issue 30
Publisher page

Abstract

In this study, reduced graphene oxide (rGO) and graphene oxide nanoribbons (GONRs) are used to fabricate a composite membrane that exhibits ultrafast water permeance (312.8 L m-2 h-1 bar-1) and precise molecular separation (molecular weight cutoff: 269 Da), which surpass the upper bound of previously reported polymer and graphene-based nanofiltration membranes. As two-dimensional GONR exhibits a width on the scale of nanometers, its nanochannels can be enlarged without hindering the stacking of rGO. Moreover, abundant oxygen-containing groups on the edge and surface of GONR enhance the electrostatic interactions between the filtered molecules and the membrane nanochannel. By the synergistic effect, rejection and water flux are considerably increased. Owing to the chemically stable nature of rGO, the composite membrane is highly stable in aqueous media (from acidic to alkaline) and is recyclable during repeated filtration tests.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

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

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

Affiliations

Department of Chemical and Biomolecular Engineering & KAIST Institute of Nanocentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea

Funding

National Research Foundation of Korea

References (40)

Show source-provided references
1. 10.1126/science.124571110.1126/science.1245711 ↗
2. 10.1002/anie.20140106110.1002/anie.201401061 ↗
3. 10.1007/s10853-018-2828-910.1007/s10853-018-2828-9 ↗
4. 10.1002/adfm.20120260110.1002/adfm.201202601 ↗
5. 10.1021/acsnano.7b0512410.1021/acsnano.7b05124 ↗
6. 10.1039/c3cc46136j10.1039/c3cc46136j ↗
7. 10.1021/acsami.7b1093210.1021/acsami.7b10932 ↗
8. 10.1021/acs.jpclett.5b0189510.1021/acs.jpclett.5b01895 ↗
9. 10.1002/adma.20150097510.1002/adma.201500975 ↗
10. 10.1126/science.123609810.1126/science.1236098 ↗
11. 10.1126/science.121169410.1126/science.1211694 ↗
12. 10.1021/acsami.7b0050410.1021/acsami.7b00504 ↗
13. 10.1038/nnano.2017.16010.1038/nnano.2017.160 ↗
14. 10.1038/nchem.214510.1038/nchem.2145 ↗
15. 10.1021/acsami.6b0991210.1021/acsami.6b09912 ↗
16. 10.1038/s41467-018-03919-010.1038/s41467-018-03919-0 ↗
17. 10.1002/adfm.20150295510.1002/adfm.201502955 ↗
18. 10.1002/admi.20170020910.1002/admi.201700209 ↗
19. 10.1016/j.memsci.2017.07.05510.1016/j.memsci.2017.07.055 ↗
20. 10.1039/c5nr08697c10.1039/c5nr08697c ↗
21. 10.1021/acsami.5b0098610.1021/acsami.5b00986 ↗
22. 10.1038/ncomms397910.1038/ncomms3979 ↗
23. 10.1080/01496395.2018.152540010.1080/01496395.2018.1525400 ↗
24. 10.1021/cm500787310.1021/cm5007873 ↗
25. 10.1039/c7nr05737g10.1039/c7nr05737g ↗
26. 10.1021/acsami.8b1668810.1021/acsami.8b16688 ↗
27. 10.1021/acs.jpcc.8b0331810.1021/acs.jpcc.8b03318 ↗
28. 10.1038/nnano.2007.45110.1038/nnano.2007.451 ↗
29. 10.1166/sam.2014.220010.1166/sam.2014.2200 ↗
30. 10.1038/ncomms1089110.1038/ncomms10891 ↗
31. 10.1039/c4ra01495b10.1039/c4ra01495b ↗
32. 10.1002/adma.20160160610.1002/adma.201601606 ↗
33. 10.1021/es400571g10.1021/es400571g ↗
34. 10.1021/acs.est.6b0283410.1021/acs.est.6b02834 ↗
35. 10.1039/c5ta00366k10.1039/c5ta00366k ↗
36. 10.1021/acsami.6b1282610.1021/acsami.6b12826 ↗
37. 10.1039/c4cc05295a10.1039/c4cc05295a ↗
38. 10.1038/s41598-018-19795-z10.1038/s41598-018-19795-z ↗
39. 10.1016/j.memsci.2017.09.04310.1016/j.memsci.2017.09.043 ↗
40. 10.1039/c6ta06381k10.1039/c6ta06381k ↗