journal article·2023-10-11

Facile and Stable CuInO2 Nanoparticles for Efficient Electrochemical CO2 Reduction

Lihong Yin, Zhiqiang Li, Jinxian Feng, Pengfei Zhou, Lulu Qiao, Di Liu, Zhibin Yi, Weng Fai Ip, Guangfu Luo, Hui Pan

ACS Applied Materials & Interfaces· Volume 15· Issue 40
Publisher page

Abstract

Searching for electrocatalysts for the electrochemical CO 2 reduction reaction (e-CO 2 RR) with high selectivity and stability remains a significant challenge. In this study, we design a Cu-CuInO 2 composite with stable states of Cu 0 /Cu + by electrochemically depositing indium onto CuCl-decorated Cu foil. The catalyst displays superior selectivity toward the CO product, with a maximal Faraday efficiency of 89% at −0.9 V vs the reversible hydrogen electrode, and maintains impressive stability up to 27 h with a retention rate of >76% in Faraday efficiency. Our systematical characterizations reveal that the catalyst’s high performance is attributed to CuInO 2 nanoparticles. First-principles calculations further confirm that CuInO 2 (012) is more conducive to CO generation than Cu(111) under applied potential and presents a higher energy barrier than Cu(111) for the hydrogen evolution reaction. These theoretical predictions are consistent with our experimental observations, suggesting that CuInO 2 nanoparticles offer a facile catalyst with a high selectivity and stability for e-CO 2 RR.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: CO2 Reduction Techniques and Catalysts · Electronic and Structural Properties of Oxides

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

Affiliations

Institute of Applied Physics and Materials Engineering, University of Macau, Macao 999078, P. R. China

Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, P. R. China

Department of Physics and Chemistry, Faculty of Science and Technology, University of Macau, Macao 999078, P. R. China

Guangdong Provincial Key Laboratory of Computational Science and Material Design, Southern University of Science and Technology, Shenzhen 518055, P. R. China

Funding

Natural Science Foundation of Shenzhen Municipality · Science, Technology and Innovation Commission of Shenzhen Municipality · Guangdong Provincial Key Laboratory Of Computational Science And Material Design · National Natural Science Foundation of China · Shenzhen Key Laboratory of Interfacial Science and Engineering of Materials · Guangdong-Hong Kong-Macao Joint Laboratory

References (84)

Show source-provided references
1. 10.1038/nenergy.2017.8710.1038/nenergy.2017.87 ↗
2. 10.1039/c3ee41272e10.1039/c3ee41272e ↗
3. 10.1002/aenm.20220319110.1002/aenm.202203191 ↗
4. 10.1021/jacs.9b0212410.1021/jacs.9b02124 ↗
5. 10.1016/j.apmate.2022.10005510.1016/j.apmate.2022.100055 ↗
6. 10.1039/D1TA00758K10.1039/D1TA00758K ↗
7. 10.1002/aenm.20190233810.1002/aenm.201902338 ↗
8. 10.1021/acs.chemrev.8b0070510.1021/acs.chemrev.8b00705 ↗
9. 10.1021/cr050199410.1021/cr0501994 ↗
10. 10.1016/j.cattod.2009.07.07510.1016/j.cattod.2009.07.075 ↗
11. 10.1038/s41467-019-10819-410.1038/s41467-019-10819-4 ↗
12. 10.1246/cl.1985.169510.1246/cl.1985.1695 ↗
13. 10.1016/j.asems.2022.10002310.1016/j.asems.2022.100023 ↗
14. 10.1038/s41563-019-0445-x10.1038/s41563-019-0445-x ↗
15. 10.1002/cssc.20170182510.1002/cssc.201701825 ↗
16. 10.1038/s41467-021-26124-y10.1038/s41467-021-26124-y ↗
17. 10.1093/nsr/nwac24810.1093/nsr/nwac248 ↗
18. 10.1016/j.nanoen.2018.04.01310.1016/j.nanoen.2018.04.013 ↗
19. 10.1016/j.ijhydene.2021.01.09610.1016/j.ijhydene.2021.01.096 ↗
20. 10.1016/j.cej.2021.12871810.1016/j.cej.2021.128718 ↗
21. 10.1002/anie.20178226110.1002/anie.201782261 ↗
22. 10.1021/acscatal.7b0445710.1021/acscatal.7b04457 ↗
23. 10.1002/anie.20141023310.1002/anie.201410233 ↗
24. 10.1039/C5TA05669A10.1039/C5TA05669A ↗
25. 10.1016/j.electacta.2018.10.17510.1016/j.electacta.2018.10.175 ↗
26. 10.1039/C9CC05435A10.1039/C9CC05435A ↗
27. 10.1021/acsami.8b1274710.1021/acsami.8b12747 ↗
28. 10.1002/cssc.20160157810.1002/cssc.201601578 ↗
29. 10.1021/acscatal.6b0206710.1021/acscatal.6b02067 ↗
30. 10.1002/adma.20200579810.1002/adma.202005798 ↗
31. 10.1039/D1CS00535A10.1039/D1CS00535A ↗
32. 10.1002/smtd.20180012110.1002/smtd.201800121 ↗
33. 10.1016/j.apsusc.2022.15423910.1016/j.apsusc.2022.154239 ↗
34. 10.1021/accountsmr.1c0013510.1021/accountsmr.1c00135 ↗
35. 10.1021/jacs.0c0185910.1021/jacs.0c01859 ↗
36. 10.1038/s41929-017-0018-910.1038/s41929-017-0018-9 ↗
37. 10.1021/jacs.0c0169910.1021/jacs.0c01699 ↗
38. 10.1021/cs502128q10.1021/cs502128q ↗
39. 10.1038/s41929-017-0018-910.1038/s41929-017-0018-9 ↗
40. 10.1038/ncomms1212310.1038/ncomms12123 ↗
41. 10.1038/s41467-018-06311-010.1038/s41467-018-06311-0 ↗
42. 10.1021/acs.nanolett.9b0332410.1021/acs.nanolett.9b03324 ↗
43. 10.1038/s41557-018-0092-x10.1038/s41557-018-0092-x ↗
44. 10.1103/PhysRevB.47.55810.1103/PhysRevB.47.558 ↗
45. 10.1103/PhysRevB.49.1425110.1103/PhysRevB.49.14251 ↗
46. 10.1103/PhysRevB.48.1311510.1103/PhysRevB.48.13115 ↗
47. 10.1103/PhysRev.136.B86410.1103/PhysRev.136.B864 ↗
48. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
49. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
50. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
51. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
52. 10.1103/PhysRevB.13.518810.1103/PhysRevB.13.5188 ↗
53. 10.1103/PhysRevB.49.1622310.1103/PhysRevB.49.16223 ↗
54. 10.1063/1.338234410.1063/1.3382344 ↗
55. 10.1107/S002188981103897010.1107/S0021889811038970 ↗
56. 10.1021/acs.nanolett.9b0119710.1021/acs.nanolett.9b01197 ↗
57. 10.1021/acscatal.2c0143410.1021/acscatal.2c01434 ↗
58. 10.1021/acscatal.7b0116110.1021/acscatal.7b01161 ↗
59. 10.1039/D1TA10163C10.1039/D1TA10163C ↗
60. 10.1016/j.jcou.2019.12.01310.1016/j.jcou.2019.12.013 ↗
61. 10.1002/smtd.20180044910.1002/smtd.201800449 ↗
62. 10.1016/S1872-2067(21)63943-810.1016/S1872-2067(21)63943-8 ↗
63. 10.1016/j.apcatb.2022.12119110.1016/j.apcatb.2022.121191 ↗
64. 10.1080/00150193.2011.59439610.1080/00150193.2011.594396 ↗
65. 10.1063/1.489695210.1063/1.4896952 ↗
66. 10.1149/1.183818010.1149/1.1838180 ↗
67. 10.1016/S0039-6028(99)00427-610.1016/S0039-6028(99)00427-6 ↗
68. 10.1021/acsami.8b0842810.1021/acsami.8b08428 ↗
69. 10.1002/adma.20180486710.1002/adma.201804867 ↗
70. 10.1073/pnas.180225611510.1073/pnas.1802256115 ↗
71. 10.1021/acscatal.6b0238210.1021/acscatal.6b02382 ↗
72. 10.1039/D2EE01334G10.1039/D2EE01334G ↗
73. 10.1016/j.electacta.2007.03.04210.1016/j.electacta.2007.03.042 ↗
74. 10.1021/acs.jpcc.6b0306510.1021/acs.jpcc.6b03065 ↗
75. 10.1016/j.cogsc.2022.10058910.1016/j.cogsc.2022.100589 ↗
76. 10.1021/acsnano.0c0353410.1021/acsnano.0c03534 ↗
77. 10.1002/anie.20181166710.1002/anie.201811667 ↗
78. 10.1002/ese3.93510.1002/ese3.935 ↗
79. 10.1016/j.matre.2023.10017710.1016/j.matre.2023.100177 ↗
80. 10.1016/j.susc.2009.04.01110.1016/j.susc.2009.04.011 ↗
81. 10.1023/A:101275561606410.1023/A:1012755616064 ↗
82. 10.1007/s11244-018-0943-010.1007/s11244-018-0943-0 ↗
83. 10.1126/science.aad886810.1126/science.aad8868 ↗
84. 10.1039/C8CP04955F10.1039/C8CP04955F ↗