journal article·2024-05-10

Simulation Analysis of Enhanced Ion Selectivity in a Single Graphene Nanopore

Yaning Li, Jianmin Song, Yuxia Gao, Ruonan Zhai

ACS Applied Nano Materials· Volume 7· Issue 9
Publisher page

Abstract

In recent years, asymmetric graphene nanochannels have become one of the trustworthy options for many applications. However, further research on the mechanisms of graphene nanochannels is still needed. In this work, we systematically investigated the ion selectivity of single graphene nanopore models using finite element simulation techniques. Results from the simulations reveal that graphene can substantially improve the ion selectivity of asymmetric nanochannels, and the ion selectivity ratio of the single graphene nanopore supported by the conical nanochannel is about 2 orders of magnitude higher than the ion selectivity ratio of the model without graphene. Moreover, we provided reasonable insight into the mechanism of ion selectivity: the ion selectivity of the graphene nanopore supported by the conical nanochannel can be attributed to the concentration differences between cations and anions at the tip.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nanopore and Nanochannel Transport Studies · Graphene research and applications · Ion-surface interactions and analysis

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

Affiliations

School of Mathematics and Science, Hebei Key Laboratory of Optoelectronic Information and Geo-detection Technology, Hebei GEO University, Shijiazhuang 050031, China

Key Laboratory for Microstructural Material Physics of Hebei Province School of Science, Yanshan University, Qinhuangdao 066004, China

Science College, Shijiazhuang University, Shijiazhuang 050035, China

Funding

Hebei GEO University · Shijiazhuang Science and Technology Project

References (31)

Show source-provided references
1. 10.1002/smll.20210049510.1002/smll.202100495 ↗
2. 10.1021/acsami.1c0197510.1021/acsami.1c01975 ↗
3. 10.1002/elps.20200035610.1002/elps.202000356 ↗
4. 10.1021/acsnano.0c0321510.1021/acsnano.0c03215 ↗
5. 10.1038/s41467-020-14674-610.1038/s41467-020-14674-6 ↗
6. 10.1002/smll.20190555710.1002/smll.201905557 ↗
7. 10.1002/adma.20190395410.1002/adma.201903954 ↗
8. 10.1021/acsnano.5b0525010.1021/acsnano.5b05250 ↗
9. 10.1021/acs.langmuir.1c0315910.1021/acs.langmuir.1c03159 ↗
10. 10.1039/D0CS00924E10.1039/D0CS00924E ↗
11. 10.1038/s41467-022-32590-910.1038/s41467-022-32590-9 ↗
12. 10.1063/1.512413210.1063/1.5124132 ↗
13. 10.1021/acsami.9b0107110.1021/acsami.9b01071 ↗
14. 10.1002/cphc.20160037010.1002/cphc.201600370 ↗
15. 10.1016/j.jcis.2018.11.04610.1016/j.jcis.2018.11.046 ↗
16. 10.1021/acsami.9b1308810.1021/acsami.9b13088 ↗
17. 10.1002/adem.20220184610.1002/adem.202201846 ↗
18. 10.1002/elps.20220008910.1002/elps.202200089 ↗
19. 10.1007/s00249-019-01412-010.1007/s00249-019-01412-0 ↗
20. 10.3390/mi1106054210.3390/mi11060542 ↗
21. 10.1016/j.cma.2020.11313210.1016/j.cma.2020.113132 ↗
22. 10.1016/j.cma.2019.11279010.1016/j.cma.2019.112790 ↗
23. 10.1038/s41467-019-10147-710.1038/s41467-019-10147-7 ↗
24. 10.1021/acsami.6b1673610.1021/acsami.6b16736 ↗
25. 10.1016/S1872-5805(21)60079-310.1016/S1872-5805(21)60079-3 ↗
26. 10.3389/fchem.2019.0035510.3389/fchem.2019.00355 ↗
27. 10.1021/acsnano.3c1106810.1021/acsnano.3c11068 ↗
28. 10.1002/smll.20170075810.1002/smll.201700758 ↗
29. 10.1002/cnma.20200019910.1002/cnma.202000199 ↗
30. 10.1039/C7QM00620A10.1039/C7QM00620A ↗
31. 10.1021/acsami.8b1771910.1021/acsami.8b17719 ↗