Defective Carbon Electrocatalysts with Accessible Mesopores for Hydrogen Peroxide Synthesis
Source abstract
Abstract
The growing demand for green synthesis of hydrogen peroxide (H 2 O 2 ) has fueled great interest in electrochemical synthesis via the oxygen reduction reaction (ORR). Carbon-based materials are an appealing class of electrocatalysts, offering the promise of tunable defects, heteroatom dopants, and controllable pore structures. However, increasing the accessibility of mesopores in carbon-based materials is challenging due to the restricted diffusion depth. In this study, we report the synthesis of a mesoporous carbon hollow shell with a big surface opening (C-750) and the nonhollow control material (C-750C). The hollow structure with a big surface opening facilitates rapid diffusion and transport of reactants and products through both its exterior and interior surfaces. This structure enables prompt reactant access to active sites and efficient product desorption, thereby yielding exceptional electrocatalytic ORR performance. In contrast, nonhollow mesoporous carbon materials rely solely on external surface diffusion, resulting in longer transport pathways, restricted accessibility to active sites, and product accumulation that diminishes reaction efficiency. In the rotating ring-disk electrode, C-750 demonstrates a higher diffusion-limited current density and higher H 2 O 2 selectivity than C-750C, highlighting its superior mass transport efficiency due to the hollow structure as well as the large opening on the shell. In the flow cell, C-750 shows an industrial-level current density of ∼ −244 mA cm –2 at 0.28 V vs RHE, and the production rate of H 2 O 2 is over 14.6 mol h –1 g cat –1 . The density of edge defects, tailored by changing the carbonization temperature, works synergistically with oxygen dopants to enhance the catalytic performance, as confirmed by both theoretical simulations and experimental results.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrocatalysts for Energy Conversion · CO2 Reduction Techniques and Catalysts · Ammonia Synthesis and Nitrogen Reduction
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Material and Metallurgy
University of Science and Technology Liaoning
Hoffmann Institute of Advanced Materials, Postdoctoral Innovation Practice Base, Shenzhen Polytechnic University, 7098 Liuxian Blvd, Nanshan District, Shenzhen 518055, P. R. China
Shenzhen Institutes of Advanced Technology
Chinese Academy of Sciences
Funding
Natural Science Foundation of Guangdong Province · Shenzhen Science and Technology Innovation Program
References (58)
Show source-provided references
1. 10.1002/cssc.20160089510.1002/cssc.201600895 ↗
2. 10.1016/j.cej.2022.13937110.1016/j.cej.2022.139371 ↗
3. 10.26599/NRE.2023.912009110.26599/NRE.2023.9120091 ↗
4. 10.1039/D4GC00674G10.1039/D4GC00674G ↗
5. 10.1016/j.scib.2023.12.02510.1016/j.scib.2023.12.025 ↗
6. 10.1016/j.cep.2006.12.01210.1016/j.cep.2006.12.012 ↗
7. 10.1016/S1872-2067(20)63562-810.1016/S1872-2067(20)63562-8 ↗
8. 10.1002/smm2.132610.1002/smm2.1326 ↗
9. 10.1002/smm2.131710.1002/smm2.1317 ↗
10. 10.1002/smm2.7001010.1002/smm2.70010 ↗
11. 10.1002/smll.20230233810.1002/smll.202302338 ↗
12. 10.1021/acscatal.8b0021710.1021/acscatal.8b00217 ↗
13. 10.1021/acsnano.4c0791610.1021/acsnano.4c07916 ↗
14. 10.1002/aenm.20180190910.1002/aenm.201801909 ↗
15. 10.1021/acsami.4c1147910.1021/acsami.4c11479 ↗
16. 10.1016/j.chemosphere.2022.13612710.1016/j.chemosphere.2022.136127 ↗
17. 10.1002/smtd.20250006910.1002/smtd.202500069 ↗
18. 10.1016/j.jechem.2024.03.03410.1016/j.jechem.2024.03.034 ↗
19. 10.1002/anie.20181380510.1002/anie.201813805 ↗
20. 10.1016/j.enchem.2021.10005910.1016/j.enchem.2021.100059 ↗
21. 10.1021/acs.chemmater.9b0021010.1021/acs.chemmater.9b00210 ↗
22. 10.31635/renewables.025.20240007610.31635/renewables.025.202400076 ↗
23. 10.1021/acssuschemeng.7b0251710.1021/acssuschemeng.7b02517 ↗
24. 10.1021/acscatal.8b0373410.1021/acscatal.8b03734 ↗
25. 10.1021/acs.jpclett.2c0268410.1021/acs.jpclett.2c02684 ↗
26. 10.1021/jacs.3c0068910.1021/jacs.3c00689 ↗
27. 10.1038/s41467-023-41947-710.1038/s41467-023-41947-7 ↗
28. 10.1021/acsnano.4c0870810.1021/acsnano.4c08708 ↗
29. 10.1016/j.carbon.2021.11.07110.1016/j.carbon.2021.11.071 ↗
30. 10.1002/adfm.20230579510.1002/adfm.202305795 ↗
31. 10.1016/j.carbon.2020.01.11010.1016/j.carbon.2020.01.110 ↗
32. 10.1021/acsami.1c1176510.1021/acsami.1c11765 ↗
33. 10.1021/acsaem.1c0025910.1021/acsaem.1c00259 ↗
34. 10.1038/s42004-024-01194-310.1038/s42004-024-01194-3 ↗
35. 10.1021/acs.nanolett.2c0369610.1021/acs.nanolett.2c03696 ↗
36. 10.1021/acs.nanolett.3c0020210.1021/acs.nanolett.3c00202 ↗
37. 10.1021/acs.nanolett.3c0439610.1021/acs.nanolett.3c04396 ↗
38. 10.1038/s41467-024-45243-w10.1038/s41467-024-45243-w ↗
39. 10.1016/j.electacta.2024.14388910.1016/j.electacta.2024.143889 ↗
40. 10.1016/j.cplett.2024.14123610.1016/j.cplett.2024.141236 ↗
41. 10.1021/acs.langmuir.3c0262710.1021/acs.langmuir.3c02627 ↗
42. 10.1021/jp404522610.1021/jp4045226 ↗
43. 10.1016/j.snb.2015.10.06310.1016/j.snb.2015.10.063 ↗
44. 10.1002/smll.20170025610.1002/smll.201700256 ↗
45. 10.1039/D4QI02539C10.1039/D4QI02539C ↗
46. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
47. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
48. 10.1103/physrevb.54.1116910.1103/physrevb.54.11169 ↗
49. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
50. 10.1063/1.338234410.1063/1.3382344 ↗
51. 10.1039/c0ee00071j10.1039/c0ee00071j ↗
52. 10.1016/j.cpc.2021.10803310.1016/j.cpc.2021.108033 ↗
53. 10.1016/j.carbon.2006.05.02910.1016/j.carbon.2006.05.029 ↗
54. 10.1021/ef990063710.1021/ef9900637 ↗
55. 10.1016/j.carbon.2005.02.01810.1016/j.carbon.2005.02.018 ↗
56. 10.1021/acsami.4c1735410.1021/acsami.4c17354 ↗
57. 10.1021/acsanm.4c0270410.1021/acsanm.4c02704 ↗
58. 10.1002/anie.20231766010.1002/anie.202317660 ↗