journal article·2022-11

Ultrahigh Performance Self‐Supported Cl‐Cu2O@Cu Foam Electrode Fabricated by Sonochemical Surface Reconstruction Approach

Yu Chang, Bo Shao, Jianyuan Wang, Fang Chen, Wei Zhai

Advanced Materials Technologies· Volume 7· Issue 11
Publisher page

Abstract

Abstract Unlike powdery transition metal oxide (TMO) coated electrodes, self‐supported TMO electrodes have attracted considerable interests for optimizing the electrocatalytic performances of electrodes due to sufficient exposure of active sites and improved TMO‐substrate interfaces. However, conventional manufacture methods for self‐supported electrodes are faced with inefficiency and high complexity. Herein, a facile sonochemical surface reconstruction approach is proposed to fabricate Cl‐doped Cu2O@Cu foam (Cl‐Cu2O@Cu) electrode with ultrahigh sensitivity for glucose sensing. The intensive collapse of cavitation bubbles near Cu foam under sonication within NH4Cl solution, for this reason, massive Cu complex ions and highly active Cu surfaces are simultaneously generated. Then the nanosized Cu2O particles with large active surfaces are in situ formed and tightly anchored on the Cu surface, which undergoes Cl doping in Cu2O, resulting in ascending electrical conductivity. The Cl‐Cu2O@Cu electrode shows excellent catalytic performance to glucose, presenting ultrahigh sensitivity of 28 mA cm−2 × 10−3 m and ultralow limit of detection of 0.35 × 10−6 m (S/N = 3). This work promotes a novel approach for the rational design of self‐supported electrochemical electrodes by sonochemistry.
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Research context

OpenAlex topics: Copper-based nanomaterials and applications · Electrochemical Analysis and Applications · Advanced Photocatalysis Techniques

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

Affiliations

MOE Key Laboratory of Materials Physics and Chemistry under Extraordinary Conditions Northwestern Polytechnical University Xi'an 710072 China

Funding

National Natural Science Foundation of China

References (35)

Show source-provided references
1. 10.1016/j.pmatsci.2018.03.00610.1016/j.pmatsci.2018.03.006 ↗
2. 10.1002/aenm.20190337610.1002/aenm.201903376 ↗
3. 10.1016/j.nanoen.2018.12.01110.1016/j.nanoen.2018.12.011 ↗
4. 10.1021/jacs.0c0025710.1021/jacs.0c00257 ↗
5. 10.1039/C8EE02779J10.1039/C8EE02779J ↗
6. 10.1038/s41467-019-08805-x10.1038/s41467-019-08805-x ↗
7. 10.1002/aenm.20200311110.1002/aenm.202003111 ↗
8. 10.1021/acsami.1c0816110.1021/acsami.1c08161 ↗
9. 10.1002/adma.20180632610.1002/adma.201806326 ↗
10. 10.1002/aenm.20190210410.1002/aenm.201902104 ↗
11. 10.1002/adma.20180042610.1002/adma.201800426 ↗
12. 10.1002/anie.20181363410.1002/anie.201813634 ↗
13. 10.1038/s41563-019-0445-x10.1038/s41563-019-0445-x ↗
14. 10.1038/s41467-019-13631-210.1038/s41467-019-13631-2 ↗
15. 10.1002/adma.20180746810.1002/adma.201807468 ↗
16. 10.1002/adma.20090409310.1002/adma.200904093 ↗
17. 10.1039/C2CS35282F10.1039/C2CS35282F ↗
18. 10.1126/science.230911810.1126/science.2309118 ↗
19. 10.4028/www.scientific.net/AMR.239-242.232310.4028/www.scientific.net/AMR.239-242.2323 ↗
20. 10.1016/j.ultsonch.2017.10.02110.1016/j.ultsonch.2017.10.021 ↗
21. 10.1016/j.ultsonch.2011.11.01710.1016/j.ultsonch.2011.11.017 ↗
22. 10.1016/0041-624X(87)90013-810.1016/0041-624X(87)90013-8 ↗
23. 10.1021/acsphotonics.9b0047110.1021/acsphotonics.9b00471 ↗
24. 10.1002/adfm.20170678510.1002/adfm.201706785 ↗
25. 10.1021/acssuschemeng.8b0477710.1021/acssuschemeng.8b04777 ↗
26. 10.1002/adom.20180143510.1002/adom.201801435 ↗
27. 10.1021/acsami.5b0573810.1021/acsami.5b05738 ↗
28. 10.3390/s1913292610.3390/s19132926 ↗
29. 10.1016/j.jelechem.2019.04.03610.1016/j.jelechem.2019.04.036 ↗
30. 10.1002/anie.20180136910.1002/anie.201801369 ↗
31. 10.1016/j.snb.2016.03.05810.1016/j.snb.2016.03.058 ↗
32. 10.1016/j.apcatb.2018.03.03810.1016/j.apcatb.2018.03.038 ↗
33. 10.1039/C9NR02720C10.1039/C9NR02720C ↗
34. 10.1016/j.snb.2017.12.03510.1016/j.snb.2017.12.035 ↗
35. 10.1002/smll.20160207710.1002/smll.201602077 ↗