journal article·2023-02-22

Rational Design of NiZnx@CuO Nanoarray Architectures for Electrocatalytic Oxidation of Methanol

Lingyi Han, Hanyu Li, Lan Yang, Yalan Liu, Shantang Liu

Publisher page

Abstract

Methanol oxidation reaction (MOR) in anodes is one of the significant aspects of direct methanol fuel cells (DMFCs), which also plays a critical role in achieving a carbon-neutral economy. Designing and developing efficient, cost-effective, and durable non-Pt group metal-based methanol oxidation catalysts are highly desired, but a gap still remains. Herein, we report well-defined hierarchical NiZn x @CuO nanoarray architectures as active electrocatalysts for MOR, synthesized by combining thermal oxidation treatment and magnetron sputtering deposition through a brass mesh precursor. After systematically evaluating the electrocatalytic performance of NiZn x @CuO nanoarray catalysts with different preparation conditions, we found that the NiZn 1000 @CuO (thermally oxidized at 500 °C for 2 h, nominal thickness of the NiZn alloy film is 1000 nm) electrode delivers a high current density of 449.3 mA cm –2 at 0.8 V for MOR in alkaline media as well as excellent operation stability (92% retention after 12 h). These outstanding MOR performances can be attributed to the hierarchical well-defined structure that can not only render abundant active sites and a synergistic effect to enhance the electrocatalytic activity but also can effectively facilitate mass and electron transport. More importantly, we found that partial Zn atoms could leach from the NiZn alloy, resulting in rough surface nanorods, which would further increase the specific surface area. These results indicate that the NiZn 1000 @CuO nanoarray architecture could be a promising Pt group metal alternative as an efficient, cost-effective, and durable anode catalyst for DMFCs.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrocatalysts for Energy Conversion · Advanced battery technologies research · Copper-based nanomaterials and applications

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

Affiliations

Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430073, China

Funding

Wuhan Institute of Technology · National Natural Science Foundation of China

References (59)

Show source-provided references
1. 10.1016/j.rser.2007.05.00110.1016/j.rser.2007.05.001 ↗
2. 10.1038/nature1147510.1038/nature11475 ↗
3. 10.1016/j.ijhydene.2011.12.01710.1016/j.ijhydene.2011.12.017 ↗
4. 10.1039/C9TA06088J10.1039/C9TA06088J ↗
5. 10.1016/j.apenergy.2015.02.00210.1016/j.apenergy.2015.02.002 ↗
6. 10.1016/j.jcou.2017.10.02310.1016/j.jcou.2017.10.023 ↗
7. 10.1016/j.jcat.2020.11.01210.1016/j.jcat.2020.11.012 ↗
8. 10.1038/s41586-018-0614-010.1038/s41586-018-0614-0 ↗
9. 10.1016/j.jcat.2019.09.01310.1016/j.jcat.2019.09.013 ↗
10. 10.1021/acsanm.1c0242710.1021/acsanm.1c02427 ↗
11. 10.1007/s40843-020-1460-y10.1007/s40843-020-1460-y ↗
12. 10.1016/j.jpowsour.2018.11.02110.1016/j.jpowsour.2018.11.021 ↗
13. 10.1016/j.jcis.2021.01.04510.1016/j.jcis.2021.01.045 ↗
14. 10.1016/j.jpowsour.2014.06.14510.1016/j.jpowsour.2014.06.145 ↗
15. 10.1016/j.apcatb.2019.01.06110.1016/j.apcatb.2019.01.061 ↗
16. 10.1002/anie.20200431410.1002/anie.202004314 ↗
17. 10.1039/C4CE00565A10.1039/C4CE00565A ↗
18. 10.1016/j.jpcs.2017.09.02210.1016/j.jpcs.2017.09.022 ↗
19. 10.1016/j.apcatb.2020.11951010.1016/j.apcatb.2020.119510 ↗
20. 10.1038/nchem.62610.1038/nchem.626 ↗
21. 10.1021/acsami.1c0308910.1021/acsami.1c03089 ↗
22. 10.1016/j.apsusc.2020.14580810.1016/j.apsusc.2020.145808 ↗
23. 10.1016/j.nanoen.2021.10640210.1016/j.nanoen.2021.106402 ↗
24. 10.1016/j.electacta.2019.03.01710.1016/j.electacta.2019.03.017 ↗
25. 10.1016/j.jechem.2021.08.06010.1016/j.jechem.2021.08.060 ↗
26. 10.1016/j.jcis.2022.08.03210.1016/j.jcis.2022.08.032 ↗
27. 10.26599/NRE.2022.912001710.26599/NRE.2022.9120017 ↗
28. 10.1016/j.ijhydene.2022.05.14910.1016/j.ijhydene.2022.05.149 ↗
29. 10.1021/acsanm.1c0207710.1021/acsanm.1c02077 ↗
30. 10.1016/S1872-2067(20)63748-210.1016/S1872-2067(20)63748-2 ↗
31. 10.1021/acsami.0c0897910.1021/acsami.0c08979 ↗
32. 10.1016/j.jcis.2019.05.04810.1016/j.jcis.2019.05.048 ↗
33. 10.1021/acssuschemeng.7b0348010.1021/acssuschemeng.7b03480 ↗
34. 10.1039/D0CC01228A10.1039/D0CC01228A ↗
35. 10.1021/acs.inorgchem.2c0125710.1021/acs.inorgchem.2c01257 ↗
36. 10.1016/j.nanoen.2019.04.09310.1016/j.nanoen.2019.04.093 ↗
37. 10.1016/j.scib.2018.05.03510.1016/j.scib.2018.05.035 ↗
38. 10.1021/nl025751910.1021/nl0257519 ↗
39. 10.1016/j.jcrysgro.2018.10.01010.1016/j.jcrysgro.2018.10.010 ↗
40. 10.1039/C9NA00611G10.1039/C9NA00611G ↗
41. 10.1039/C5TA07169K10.1039/C5TA07169K ↗
42. 10.1016/j.jcat.2020.10.00310.1016/j.jcat.2020.10.003 ↗
43. 10.1016/j.ijhydene.2020.05.12010.1016/j.ijhydene.2020.05.120 ↗
44. 10.1002/adma.20180777110.1002/adma.201807771 ↗
45. 10.1038/s41560-019-0355-910.1038/s41560-019-0355-9 ↗
46. 10.1016/j.jallcom.2022.16599510.1016/j.jallcom.2022.165995 ↗
47. 10.1021/acsami.2c0614710.1021/acsami.2c06147 ↗
48. 10.1016/j.jcis.2020.05.09810.1016/j.jcis.2020.05.098 ↗
49. 10.1016/j.apcatb.2019.11797010.1016/j.apcatb.2019.117970 ↗
50. 10.1039/C8NR10231G10.1039/C8NR10231G ↗
51. 10.1016/j.mtener.2018.02.00710.1016/j.mtener.2018.02.007 ↗
52. 10.1021/acsami.1c0428210.1021/acsami.1c04282 ↗
53. 10.1007/s10800-020-01412-510.1007/s10800-020-01412-5 ↗
54. 10.1016/j.jcis.2022.10.05710.1016/j.jcis.2022.10.057 ↗
55. 10.1016/j.jallcom.2021.16344610.1016/j.jallcom.2021.163446 ↗
56. 10.1016/j.ceramint.2022.04.24810.1016/j.ceramint.2022.04.248 ↗
57. 10.1016/j.jelechem.2022.11682210.1016/j.jelechem.2022.116822 ↗
58. 10.1016/j.electacta.2020.13568410.1016/j.electacta.2020.135684 ↗
59. 10.1016/j.jallcom.2021.16091910.1016/j.jallcom.2021.160919 ↗