journal article·2024-06Open access

Encapsulation of Highly Dispersed Au NPs by Strong Metal–Support Interactions in Porous Titania Nanoplates for Efficient Electrosynthesis of H2O2

Yilei He, Yanze Wei, Zumin Wang, Tian Xia, Fu Rao, Zhifan Song, Ranbo Yu

Advanced Functional Materials· Volume 34· Issue 23

Abstract

Abstract Tuning the electrocatalytic selectivity and long‐term stability for industrially significant, yet reactively unfavorable products, remains a challenge in oxygen reduction. Herein, the Au/TiO2 catalysts with strong metal–support interactions (SMSI) are designed and synthesized through an in situ auto‐reduction of Au‐modified Ti‐MOF. Highly dispersed ultra‐low loading of Au NPs strongly capsulated in porous TiO2 substrate, together with conductive carbon derivated from MOFs, enables Au/TiO2 electrocatalysts to achieve excellent H2O2 electrosynthesis through the two‐electron oxygen reduction reaction (2e ORR). Au(1.0)/TiO2 (0.52 wt% Au loading) exhibited a high selectivity of 90%, a remarkable Faradaic efficiency of 98%, and 72.2 mg L−1 h−1 H2O2 production. Highly dispersed Au NPs promote active site exposure, while the conductive carbon and the porous superstructure enhance mass diffusion. Notably, the SMSI between Au NPs and TiO2 substrate leads to superb stability (over 168 h) of the electrocatalysts, as it ensures continuous electronic interactions. Experimental characterizations and density functional theory (DFT) simulations further revealed that the SMSI effect medicates the activation of the *OOH intermediate formation and the d‐band center, which are conductive to 2e ORR. Moreover, this strategy provides a potential way toward high‐performance electrocatalysts in flow system devices for continuously purifying sewage and chemical bleaching in extreme environments.
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Research context

OpenAlex topics: Electrocatalysts for Energy Conversion · Advanced battery technologies research · Advanced Photocatalysis Techniques

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

Affiliations

Department of Physical Chemistry School of Metallurgical and Ecological Engineering University of Science & Technology Beijing 30th Xueyuan Road, Haidian Beijing 100083 China

State Key Laboratory of Biochemical Engineering Institute of Process Engineering Chinese Academy of Sciences 1 North 2nd Street, Zhongguancun, Haidian Beijing 100190 China

Key Laboratory of Biopharmaceutical Preparation and Delivery Chinese Academy of Sciences 1 North 2nd Street, Zhongguancun, Haidian Beijing 100190 China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Beijing Municipality · National Key Research and Development Program of China

References (53)

Show source-provided references
1. 10.1016/j.mtener.2021.10093110.1016/j.mtener.2021.100931 ↗
2. 10.1002/adma.20180292010.1002/adma.201802920 ↗
3. 10.1002/aenm.20200332310.1002/aenm.202003323 ↗
4. 10.1016/j.xcrp.2022.10078810.1016/j.xcrp.2022.100788 ↗
5. 10.1002/adfm.20211041210.1002/adfm.202110412 ↗
6. 10.1002/adfm.20220364710.1002/adfm.202203647 ↗
7. 10.1038/s41929-017-0017-x10.1038/s41929-017-0017-x ↗
8. 10.1021/acsenergylett.8b0230310.1021/acsenergylett.8b02303 ↗
9. 10.1021/acs.chemrev.7b0048810.1021/acs.chemrev.7b00488 ↗
10. 10.1002/bte2.2021001510.1002/bte2.20210015 ↗
11. 10.1016/j.cej.2021.13111210.1016/j.cej.2021.131112 ↗
12. 10.1021/acscatal.8b0021710.1021/acscatal.8b00217 ↗
13. 10.1007/s12274-021-3995-610.1007/s12274-021-3995-6 ↗
14. 10.1038/s41467-022-32450-610.1038/s41467-022-32450-6 ↗
15. 10.1016/j.trechm.2022.08.00410.1016/j.trechm.2022.08.004 ↗
16. 10.1002/anie.20230262110.1002/anie.202302621 ↗
17. 10.1007/s12274-021-3786-010.1007/s12274-021-3786-0 ↗
18. 10.1002/adma.20160366210.1002/adma.201603662 ↗
19. 10.1021/acs.jpcc.8b0426210.1021/acs.jpcc.8b04262 ↗
20. 10.1038/s41467-020-15843-310.1038/s41467-020-15843-3 ↗
21. 10.1002/bte2.2022000110.1002/bte2.20220001 ↗
22. 10.1002/adfm.20230430310.1002/adfm.202304303 ↗
23. 10.1126/science.211.4487.112110.1126/science.211.4487.1121 ↗
24. 10.1021/ar00143a00110.1021/ar00143a001 ↗
25. 10.1021/acscatal.0c0532410.1021/acscatal.0c05324 ↗
26. 10.1002/bte2.2022006410.1002/bte2.20220064 ↗
27. 10.1002/adma.20190471710.1002/adma.201904717 ↗
28. 10.1002/smtd.20200048610.1002/smtd.202000486 ↗
29. 10.1038/s41467-020-17070-210.1038/s41467-020-17070-2 ↗
30. 10.1007/s12274-021-3597-310.1007/s12274-021-3597-3 ↗
31. 10.1039/D1RA05848G10.1039/D1RA05848G ↗
32. 10.1016/j.apsusc.2021.14908710.1016/j.apsusc.2021.149087 ↗
33. 10.1038/s41467-021-27768-610.1038/s41467-021-27768-6 ↗
34. 10.1016/j.fmre.2021.10.01010.1016/j.fmre.2021.10.010 ↗
35. 10.1016/j.memsci.2020.11836610.1016/j.memsci.2020.118366 ↗
36. 10.1002/anie.20221204910.1002/anie.202212049 ↗
37. 10.1002/anie.20210192810.1002/anie.202101928 ↗
38. 10.1021/jacs.1c1215710.1021/jacs.1c12157 ↗
39. 10.1038/s41563-022-01252-y10.1038/s41563-022-01252-y ↗
40. 10.1021/ja303323510.1021/ja3033235 ↗
41. 10.1039/C8GC02321B10.1039/C8GC02321B ↗
42. 10.1016/j.ensm.2021.09.02410.1016/j.ensm.2021.09.024 ↗
43. 10.1016/j.apsusc.2021.15164710.1016/j.apsusc.2021.151647 ↗
44. 10.1039/D2NR01861F10.1039/D2NR01861F ↗
45. 10.1021/ja211369s10.1021/ja211369s ↗
46. 10.1039/D2EE02554J10.1039/D2EE02554J ↗
47. 10.1038/s41467-023-40467-810.1038/s41467-023-40467-8 ↗
48. 10.1002/adfm.20220822010.1002/adfm.202208220 ↗
49. 10.1103/PhysRevLett.91.26610210.1103/PhysRevLett.91.266102 ↗
50. 10.1021/acs.jpcc.1c0638110.1021/acs.jpcc.1c06381 ↗
51. 10.1002/anie.20200042610.1002/anie.202000426 ↗
52. 10.1021/acs.jpclett.6b0202610.1021/acs.jpclett.6b02026 ↗
53. 10.1021/acscatal.0c0127310.1021/acscatal.0c01273 ↗