journal article·2022-06

Selective Hydrogenation of Naphthalene to Decalin Over Surface‐Engineered α‐MoC Based on Synergy between Pd Doping and Mo Vacancy Generation

Yufei Ma, Jianbin Liu, Meng Chen, Qun Yang, Hedong Chen, Guoqing Guan, Yanlin Qin, Tiejun Wang

Advanced Functional Materials· Volume 32· Issue 25
Publisher page

Abstract

Abstract Although the hydrogenation of aromatics is important for the processing of fossil fuels and biofuels, it typically requires costly (e.g., noble metal‐based) catalysts and exhibits unsatisfactory selectivity. Herein, flake‐like nanocrystalline molybdenum carbide (α‐MoC) is surface‐engineered via Pd doping, and the synergy between the in‐situ generated Mo vacancies and doped Pd species is shown to promote the selective hydrogenation of naphthalene to decalin. Experimental and theoretical evidence reveal that this enhanced performance is due to the optimization of naphthalene adsorption energy and the establishment of a unique surface structure due to (i) surface environment modulation, (ii) the adjustment of electron density around Mo atoms, and (iii) the change in the strength of Mo‐H bonding caused by d‐band center optimization. Benefiting from the unique surface structure, the obtained optimum 0.5% Pd‐α‐MoC catalyst exhibits excellent performance. The developed strategy is successfully used to fabricate other noble metal (Pt, Ru)‐doped α‐MoC catalysts, thus holding promise as a universal method for the rational design of high‐performance metal carbide‐based hydrogenation catalysts.
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Research context

OpenAlex topics: Catalysis and Hydrodesulfurization Studies · Nanomaterials for catalytic reactions · Catalytic Processes in Materials Science

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

Affiliations

School of Chemical Engineering and Light Industry Guangdong University of Technology Guangzhou 510006 China

Max Planck Institute for Chemical Physics of Solids Nöthnitzer Straße 40 01187 Dresden Germany

Graduate School of Science and Technology Hirosaki University 3‐Bunkyocho Hirosaki 036‐8560 Japan

Energy Conversion Engineering Laboratory Institute of Regional Innovation (IRI) Hirosaki University 3‐Bunkyocho Hirosaki 036‐8560 Japan

Funding

National Key Research and Development Program of China

References (65)

Show source-provided references
1. 10.1016/j.jcat.2021.03.00110.1016/j.jcat.2021.03.001 ↗
2. 10.1016/j.apcatb.2011.10.02510.1016/j.apcatb.2011.10.025 ↗
3. 10.1039/D0CP04177G10.1039/D0CP04177G ↗
4. 10.1016/j.apcatb.2009.04.03110.1016/j.apcatb.2009.04.031 ↗
5. 10.1021/acscatal.1c0210110.1021/acscatal.1c02101 ↗
6. 10.1016/j.fuproc.2017.03.00610.1016/j.fuproc.2017.03.006 ↗
7. 10.1016/j.apcatb.2015.07.01510.1016/j.apcatb.2015.07.015 ↗
8. 10.1039/C9NR02597A10.1039/C9NR02597A ↗
9. 10.1016/j.apcatb.2018.01.02210.1016/j.apcatb.2018.01.022 ↗
10. 10.1016/j.jcat.2006.06.01410.1016/j.jcat.2006.06.014 ↗
11. 10.1002/cctc.20180178810.1002/cctc.201801788 ↗
12. 10.1016/j.apcatb.2020.11951810.1016/j.apcatb.2020.119518 ↗
13. 10.1002/slct.20210100210.1002/slct.202101002 ↗
14. 10.1021/acsomega.1c0308310.1021/acsomega.1c03083 ↗
15. 10.3390/catal1011136210.3390/catal10111362 ↗
16. 10.1016/j.fuel.2017.12.02310.1016/j.fuel.2017.12.023 ↗
17. 10.1016/j.ijhydene.2018.05.17010.1016/j.ijhydene.2018.05.170 ↗
18. 10.1039/C7TA01437F10.1039/C7TA01437F ↗
19. 10.1021/jacs.1c0815910.1021/jacs.1c08159 ↗
20. 10.1016/j.apcatb.2021.12055410.1016/j.apcatb.2021.120554 ↗
21. 10.1016/j.apcatb.2018.06.07310.1016/j.apcatb.2018.06.073 ↗
22. 10.1016/j.apcatb.2019.11832510.1016/j.apcatb.2019.118325 ↗
23. 10.1016/j.apcatb.2019.11814310.1016/j.apcatb.2019.118143 ↗
24. 10.1038/s41565-020-0746-x10.1038/s41565-020-0746-x ↗
25. 10.1016/j.apcatb.2021.12073010.1016/j.apcatb.2021.120730 ↗
26. 10.1016/j.apcatb.2019.11811210.1016/j.apcatb.2019.118112 ↗
27. 10.1016/j.apcatb.2020.11942410.1016/j.apcatb.2020.119424 ↗
28. 10.1021/acs.iecr.9b0441110.1021/acs.iecr.9b04411 ↗
29. 10.1016/j.apsusc.2017.06.11410.1016/j.apsusc.2017.06.114 ↗
30. 10.1038/s41929-020-0481-610.1038/s41929-020-0481-6 ↗
31. 10.1039/b820519a10.1039/b820519a ↗
32. 10.1021/ie400119d10.1021/ie400119d ↗
33. 10.1021/jp910870610.1021/jp9108706 ↗
34. 10.1021/acsomega.0c0501910.1021/acsomega.0c05019 ↗
35. 10.1039/C5RA05364A10.1039/C5RA05364A ↗
36. 10.1016/j.apcatb.2021.12077910.1016/j.apcatb.2021.120779 ↗
37. 10.1038/s41586-020-03130-610.1038/s41586-020-03130-6 ↗
38. 10.1016/j.chempr.2020.09.01610.1016/j.chempr.2020.09.016 ↗
39. 10.1038/nature2167210.1038/nature21672 ↗
40. 10.1126/science.aah432110.1126/science.aah4321 ↗
41. 10.1021/jacs.0c1077610.1021/jacs.0c10776 ↗
42. 10.1093/nsr/nwab02610.1093/nsr/nwab026 ↗
43. 10.1021/jacs.8b0931010.1021/jacs.8b09310 ↗
44. 10.1021/jacs.0c1128510.1021/jacs.0c11285 ↗
45. 10.1039/c2gc35177c10.1039/c2gc35177c ↗
46. 10.1016/j.apcata.2007.02.04810.1016/j.apcata.2007.02.048 ↗
47. 10.1016/j.apcata.2014.11.02310.1016/j.apcata.2014.11.023 ↗
48. 10.1016/j.apcata.2007.11.02810.1016/j.apcata.2007.11.028 ↗
49. 10.1016/j.catcom.2010.10.02510.1016/j.catcom.2010.10.025 ↗
50. 10.1002/adfm.20200056110.1002/adfm.202000561 ↗
51. 10.1002/anie.20210834310.1002/anie.202108343 ↗
52. 10.1021/jacs.9b1123810.1021/jacs.9b11238 ↗
53. 10.1002/adfm.20210406110.1002/adfm.202104061 ↗
54. 10.1002/adfm.20200319810.1002/adfm.202003198 ↗
55. 10.1002/adma.20200217710.1002/adma.202002177 ↗
56. 10.1002/adma.20180369410.1002/adma.201803694 ↗
57. 10.1002/aenm.20180318510.1002/aenm.201803185 ↗
58. 10.1002/aenm.20180146110.1002/aenm.201801461 ↗
59. 10.1021/acsnano.0c0128510.1021/acsnano.0c01285 ↗
60. 10.1021/acsnano.7b0420510.1021/acsnano.7b04205 ↗
61. 10.1038/nchem.12110.1038/nchem.121 ↗
62. 10.1103/PhysRevB.41.789210.1103/PhysRevB.41.7892 ↗
63. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
64. 10.1103/PhysRevLett.100.13640610.1103/PhysRevLett.100.136406 ↗
65. 10.1006/jcph.1996.561210.1006/jcph.1996.5612 ↗