journal article·2024-03

Multiple Tuning of the Local Environment Enables Selective CO2 Electroreduction to Ethylene in Neutral Electrolytes

WeiLiang Zhou, Hongju Zheng, Xuan Li, Na Meng, Chao Feng, Hengpan Yang, Qi Hu, Chuanxin He

Advanced Functional Materials· Volume 34· Issue 10
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Abstract

Abstract Recently, vigorous progress is made in the selective and high‐current reduction of carbon dioxide (CO2) to ethylene (C2H4) by using a flow cell. In most cases, however, the reduction is only achieved in strong alkaline electrolytes, which results in substantial deactivation of electrocatalysts due to the accumulation of precipitates. Here, porous Cu nanowires (NWs) is prepared with abundant atomic defects, which create a synergy with the pore‐induced electric field to comprehensively tune the local microenvironment of the electrode surface, thus enabling efficient and stable C2H4 production from the CO2 reduction reaction (CO2RR) in neutral media. In particular, the enhanced electric field effect increases the local K+ concentration for the generation of *CO intermediates; while the atomic defects stabilize OH− and *CO, leading to high local pH and *CO coverage. Such synergy can provide a favorable local environment and high *CO coverage for significantly decreasing the energy barrier of the C─C coupling step. Consequently, a large partial C2H4 current density of 222.3 mA cm−2 with excellent stability is achieved in a neutral electrolyte. Altogether, this work paves new pathways to promote C2H4 production in the neutral CO2RR through multiple tuning of the local environment.
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Research context

OpenAlex topics: CO2 Reduction Techniques and Catalysts · Ionic liquids properties and applications · Advanced battery technologies research

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

Affiliations

College of Chemistry and Environmental Engineering Shenzhen University Shenzhen Guangdong 518060 China

Funding

National Natural Science Foundation of China · Shenzhen Science and Technology Innovation Program · Basic and Applied Basic Research Foundation of Guangdong Province

References (58)

Show source-provided references
1. 10.1126/science.aav350610.1126/science.aav3506 ↗
2. 10.1002/aenm.20220319110.1002/aenm.202203191 ↗
3. 10.1038/s41586-019-1782-210.1038/s41586-019-1782-2 ↗
4. 10.1016/S1381-1169(03)00016-510.1016/S1381-1169(03)00016-5 ↗
5. 10.1002/aenm.20220385810.1002/aenm.202203858 ↗
6. 10.1021/jacs.9b0490710.1021/jacs.9b04907 ↗
7. 10.1126/sciadv.aay311110.1126/sciadv.aay3111 ↗
8. 10.1038/s41467-019-10819-410.1038/s41467-019-10819-4 ↗
9. 10.1038/s41560-020-0667-910.1038/s41560-020-0667-9 ↗
10. 10.1038/s41560-019-0451-x10.1038/s41560-019-0451-x ↗
11. 10.1021/jacs.1c0977710.1021/jacs.1c09777 ↗
12. 10.1021/jacs.0c0169910.1021/jacs.0c01699 ↗
13. 10.1126/science.aas910010.1126/science.aas9100 ↗
14. 10.1021/jacs.7b0860710.1021/jacs.7b08607 ↗
15. 10.1016/j.joule.2020.12.01110.1016/j.joule.2020.12.011 ↗
16. 10.1038/ncomms1212310.1038/ncomms12123 ↗
17. 10.1038/s41929-017-0018-910.1038/s41929-017-0018-9 ↗
18. 10.1002/aenm.20190342310.1002/aenm.201903423 ↗
19. 10.1073/pnas.161893511410.1073/pnas.1618935114 ↗
20. 10.1002/aenm.20220146110.1002/aenm.202201461 ↗
21. 10.1021/jacs.1c0119010.1021/jacs.1c01190 ↗
22. 10.1126/science.aay421710.1126/science.aay4217 ↗
23. 10.1002/adfm.20211150410.1002/adfm.202111504 ↗
24. 10.1002/adma.20180311110.1002/adma.201803111 ↗
25. 10.1039/D0CS00230E10.1039/D0CS00230E ↗
26. 10.1038/s41560-021-00973-910.1038/s41560-021-00973-9 ↗
27. 10.1016/j.joule.2021.12.00210.1016/j.joule.2021.12.002 ↗
28. 10.1038/s41578-021-00356-210.1038/s41578-021-00356-2 ↗
29. 10.1002/cssc.20190254710.1002/cssc.201902547 ↗
30. 10.1021/acsenergylett.8b0173410.1021/acsenergylett.8b01734 ↗
31. 10.1021/jacs.0c1342710.1021/jacs.0c13427 ↗
32. 10.1038/s41929-019-0383-710.1038/s41929-019-0383-7 ↗
33. 10.1038/nature1906010.1038/nature19060 ↗
34. 10.1016/j.cplett.2004.06.01710.1016/j.cplett.2004.06.017 ↗
35. 10.1038/s41586-020-2783-x10.1038/s41586-020-2783-x ↗
36. 10.1002/anie.20200927710.1002/anie.202009277 ↗
37. 10.1021/jacs.3c0673810.1021/jacs.3c06738 ↗
38. 10.1038/s41560-020-0594-910.1038/s41560-020-0594-9 ↗
39. 10.1038/s41929-020-00504-x10.1038/s41929-020-00504-x ↗
40. 10.1002/anie.20171059010.1002/anie.201710590 ↗
41. 10.1021/jacs.0c0642010.1021/jacs.0c06420 ↗
42. 10.1007/s10800-005-9058-y10.1007/s10800-005-9058-y ↗
43. 10.1002/anie.20191234810.1002/anie.201912348 ↗
44. 10.1038/s41929-021-00655-510.1038/s41929-021-00655-5 ↗
45. 10.1021/jacs.1c1125310.1021/jacs.1c11253 ↗
46. 10.1021/acscatal.7b0295910.1021/acscatal.7b02959 ↗
47. 10.1038/s41467-018-07970-910.1038/s41467-018-07970-9 ↗
48. 10.1002/aenm.20210244710.1002/aenm.202102447 ↗
49. 10.1039/D1SC01117K10.1039/D1SC01117K ↗
50. 10.1016/S0360-0564(02)45013-410.1016/S0360-0564(02)45013-4 ↗
51. 10.1073/pnas.100665210810.1073/pnas.1006652108 ↗
52. 10.1016/j.nanoen.2017.11.02110.1016/j.nanoen.2017.11.021 ↗
53. 10.1039/D1EE01731D10.1039/D1EE01731D ↗
54. 10.1038/s41929-020-0450-010.1038/s41929-020-0450-0 ↗
55. 10.1002/advs.20230372610.1002/advs.202303726 ↗
56. 10.1039/C7EE03457A10.1039/C7EE03457A ↗
57. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
58. 10.1149/1.185698810.1149/1.1856988 ↗