journal article·2026-03

Oxygen Vacancy Shell Coupled Pt Clusters Engineering for Sunlight Driven Selective Decarboxylation of Amino Acids

Zhanling Ma, Zongwu Xin, Shaojie Qin, Hongguang Zhang, Jianji Wang, Yuhong Huang

Small· Volume 22· Issue 18
Publisher page

Abstract

ABSTRACT Solar‐driven photocatalytic decarboxylation of amino acids is promising for the production of bio‐based amines to address intensive energy consumption and overmuch CO 2 emissions in conventional thermo‐catalytic process. In this work, we design a new heterogeneous photocatalyst with a rich oxygen vacancy (V O ) shell and Pt nanoclusters (Pt NCs) in TiO 2. The results unveil a strong interaction between the amorphous V O ‐shell layer and Pt NCs in the engineered Pt/TiO 2 @V O ‐shell catalyst, leading to a prolonged lifetime from 0.79 to 1.12 ns. In the photocatalytic decarboxylation of L‐lysine, Pt/TiO 2 @V O ‐shell exhibited a cadaverine selectivity of 70.2% and productivity of 154.5 mM/g, which is 14 and 111 times higher than that of TiO 2 @V O ‐shell. Notably, under sunlight irradiation of 1 h, the selectivity further increased to 73.5%. In addition, for other amino acids containing aliphatic side chains, the selectivity toward the corresponding amines exceeded 50%. Mechanistic study shows that positively charged V O s facilitate the adsorption and activation of L‐lysine via forming a bidentate bridging to produce alkyl radicals, while Pt NCs significantly promote the formation of hydrogen‐rich surface of TiO 2 to give a high selectivity of cadaverine. This work offers a novel design strategy of catalysts for bridging a sustainable solar energy utilization and high‐valued chemical synthesis.
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Research context

OpenAlex topics: Advanced Photocatalysis Techniques · Metalloenzymes and iron-sulfur proteins · TiO2 Photocatalysis and Solar Cells

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

Affiliations

Beijing Key Laboratory of Solid State Battery and Energy Storage Process State Key Laboratory of Mesoscience and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing P. R. China

Longzihu New Energy Laboratory Zhengzhou Institute of Emerging Industrial Technology Zhengzhou Henan P. R. China

Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals Key Laboratory of Green Chemical Media and Reactions, Ministry of Education (China), School of Chemistry and Chemical Engineering Henan Normal University Xinxiang Henan P. R. China

Funding

National Natural Science Foundation of China

References (45)

Show source-provided references
1. 10.1021/acssuschemeng.0c0405210.1021/acssuschemeng.0c04052 ↗
2. 10.1021/acssuschemeng.1c0427210.1021/acssuschemeng.1c04272 ↗
3. 10.1021/acscatal.0c0521110.1021/acscatal.0c05211 ↗
4. 10.1038/s41929‐020‐0423‐310.1038/s41929‐020‐0423‐3 ↗
5. 10.1021/acs.chemrev.7b0077610.1021/acs.chemrev.7b00776 ↗
6. 10.1002/cssc.20190101110.1002/cssc.201901011 ↗
7. 10.1002/anie.20250282310.1002/anie.202502823 ↗
8. 10.1016/j.apcatb.2018.12.02810.1016/j.apcatb.2018.12.028 ↗
9. 10.1016/j.apcatb.2020.11871810.1016/j.apcatb.2020.118718 ↗
10. 10.1002/adma.20150373010.1002/adma.201503730 ↗
11. 10.1039/C4CS00330F10.1039/C4CS00330F ↗
12. 10.1016/j.apcatb.2017.01.02510.1016/j.apcatb.2017.01.025 ↗
13. 10.1039/C4NR02677B10.1039/C4NR02677B ↗
14. 10.1021/acsami.1c0110110.1021/acsami.1c01101 ↗
15. 10.1016/j.apcatb.2024.12400610.1016/j.apcatb.2024.124006 ↗
16. 10.1002/adma.20170536910.1002/adma.201705369 ↗
17. 10.1016/j.nanoen.2019.10411310.1016/j.nanoen.2019.104113 ↗
18. 10.1016/j.apcatb.2022.12161010.1016/j.apcatb.2022.121610 ↗
19. 10.1007/s12274‐021‐3542‐510.1007/s12274‐021‐3542‐5 ↗
20. 10.1002/anie.20241910310.1002/anie.202419103 ↗
21. 10.1016/j.apcatb.2019.11830810.1016/j.apcatb.2019.118308 ↗
22. 10.1016/j.apsusc.2019.14502110.1016/j.apsusc.2019.145021 ↗
23. 10.1002/ange.20210485610.1002/ange.202104856 ↗
24. 10.1021/acssuschemeng.8b0261310.1021/acssuschemeng.8b02613 ↗
25. 10.1002/anie.20200785910.1002/anie.202007859 ↗
26. 10.1021/jacs.3c1065910.1021/jacs.3c10659 ↗
27. 10.1002/anie.20241896410.1002/anie.202418964 ↗
28. 10.1021/acscatal.8b0027210.1021/acscatal.8b00272 ↗
29. 10.1016/j.cej.2023.14772010.1016/j.cej.2023.147720 ↗
30. 10.1021/jacs.2c1114610.1021/jacs.2c11146 ↗
31. 10.1002/anie.20241586510.1002/anie.202415865 ↗
32. 10.1002/anie.20200114810.1002/anie.202001148 ↗
33. 10.1016/j.jcis.2019.06.08610.1016/j.jcis.2019.06.086 ↗
34. 10.1002/adma.20241768410.1002/adma.202417684 ↗
35. 10.1021/acscatal.3c0607010.1021/acscatal.3c06070 ↗
36. 10.1021/acscatal.4c0231410.1021/acscatal.4c02314 ↗
37. 10.1038/s41586‐023‐06141‐110.1038/s41586‐023‐06141‐1 ↗
38. 10.1016/j.cej.2021.13053710.1016/j.cej.2021.130537 ↗
39. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
40. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
41. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
42. 10.1002/jcc.2049510.1002/jcc.20495 ↗
43. 10.1016/j.jclepro.2022.13397510.1016/j.jclepro.2022.133975 ↗
44. 10.1021/acscatal.0c0019010.1021/acscatal.0c00190 ↗
45. 10.1063/1.45851710.1063/1.458517 ↗