journal article·2026-06

Facet‐Dependent Electronic Metal‐Support Interaction on Ni/CeO 2 Catalysts for the Water‐Gas Shift Reaction

Bingzhang Li, Yong‐Shan Xiao, Kongzhai Li, Han Zhao, Jiahao Geng, Xinyu Gao, Xiang Li, Fangxian Cao

Small· Volume 22· Issue 32
Publisher page

Abstract

ABSTRACT Nickel‐based catalysts have gained significant attention for their applications in hydrogen production and purification via water‐gas shift (WGS) reaction. The nickel‐oxides interaction is pivotal in optimizing the catalytic performance of WGS reaction. Herein, the well‐defined Ni/CeO 2 catalysts with specific rodlike and polyhedral morphologies were used to investigate the facet‐dependent catalytic behaviors in WGS reaction. The structural properties were determined using multiple techniques, indicating that Ni/CeO 2 (110) and Ni/CeO 2 (111) model catalysts were successfully constructed with similar textural features except for the exposed facets. Ni/CeO 2 (111) exhibited higher intrinsic activity than Ni/CeO 2 (110) for WGS reaction (73.7 vs 61 h −1 ). TPSR and kinetic data suggested that Ni/CeO 2 catalyzed WGS reaction via redox pathway with the CO adsorption/activation as the rate‐limiting step. XPS and CO‐DRIFTS results revealed that Ni/CeO 2 (111) possessed stronger electronic metal‐support interaction (EMSI) and superior reducibility than Ni/CeO 2 (110), resulting in the enhanced WGS activity. DFT calculations further elucidated the facet‐dependent EMSI effect on CO and H 2 O adsorption/activation, revealing that Ni/CeO 2 (111) exhibits stronger CO adsorption and a lower reaction energy barrier (0.9 eV) than Ni/CeO 2 (110) (1.56 eV) with comparable H 2 O dissociation barriers (0.39 vs 0.61 eV) on both surfaces. This work highlights the facet‐dependent EMSI as an efficient strategy to optimize the Ni‐catalyzed WGS reaction.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Catalytic Processes in Materials Science · Catalysts for Methane Reforming · Catalysis for Biomass Conversion

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

Affiliations

Faculty of Environmental Science and Engineering Kunming University of Science and Technology Kunming China

School of Chemistry and Chemical Engineering Shaanxi Normal University Xi'an China

Faculty of Metallurgical and Energy Engineering Kunming University of Science and Technology Kunming China

Funding

National Natural Science Foundation of China · Kunming University of Science and Technology

References (42)

Show source-provided references
1. 10.1016/j.ijhydene.2021.11.14910.1016/j.ijhydene.2021.11.149 ↗
2. 10.1016/j.jechem.2023.03.05510.1016/j.jechem.2023.03.055 ↗
3. 10.1002/ceat.20120015110.1002/ceat.201200151 ↗
4. 10.1002/cctc.20180003110.1002/cctc.201800031 ↗
5. 10.1002/cctc.20220019010.1002/cctc.202200190 ↗
6. 10.1021/cs500915p10.1021/cs500915p ↗
7. 10.1039/C5CY01932J10.1039/C5CY01932J ↗
8. 10.1016/j.ces.2022.11795910.1016/j.ces.2022.117959 ↗
9. 10.1021/acscatal.2c0366410.1021/acscatal.2c03664 ↗
10. 10.1038/s41467‐022‐30138‐510.1038/s41467‐022‐30138‐5 ↗
11. 10.1021/acscatal.7b0195110.1021/acscatal.7b01951 ↗
12. 10.1021/jacs.8b0311710.1021/jacs.8b03117 ↗
13. 10.1021/ja210083d10.1021/ja210083d ↗
14. 10.1016/j.mcat.2024.11477710.1016/j.mcat.2024.114777 ↗
15. 10.1039/C6CS00863A10.1039/C6CS00863A ↗
16. 10.1021/acscatal.2c0635110.1021/acscatal.2c06351 ↗
17. 10.1016/j.molcata.2007.09.01410.1016/j.molcata.2007.09.014 ↗
18. 10.1016/j.cattod.2013.09.03710.1016/j.cattod.2013.09.037 ↗
19. 10.1016/j.mcat.2016.12.02810.1016/j.mcat.2016.12.028 ↗
20. 10.1021/jacs.3c1206110.1021/jacs.3c12061 ↗
21. 10.1002/anie.20070582810.1002/anie.200705828 ↗
22. 10.1016/j.cattod.2011.09.00810.1016/j.cattod.2011.09.008 ↗
23. 10.1021/acscatal.2c0253510.1021/acscatal.2c02535 ↗
24. 10.1016/j.cej.2024.15486110.1016/j.cej.2024.154861 ↗
25. 10.1016/j.apcatb.2019.11843010.1016/j.apcatb.2019.118430 ↗
26. 10.1021/jp302488f10.1021/jp302488f ↗
27. 10.1016/j.apcatb.2022.12184110.1016/j.apcatb.2022.121841 ↗
28. 10.1021/acscatal.7b0275110.1021/acscatal.7b02751 ↗
29. 10.1016/j.apcatb.2019.11847410.1016/j.apcatb.2019.118474 ↗
30. 10.1016/j.apcatb.2019.11853810.1016/j.apcatb.2019.118538 ↗
31. 10.1016/j.jcat.2022.07.03810.1016/j.jcat.2022.07.038 ↗
32. 10.1021/acs.jpcc.0c0668610.1021/acs.jpcc.0c06686 ↗
33. 10.1038/s41467‐023‐42577‐910.1038/s41467‐023‐42577‐9 ↗
34. 10.1016/j.jcat.2019.11.04210.1016/j.jcat.2019.11.042 ↗
35. 10.1063/1.180842410.1063/1.1808424 ↗
36. 10.1021/acscatal.4c0156110.1021/acscatal.4c01561 ↗
37. 10.1021/jp055584b10.1021/jp055584b ↗
38. 10.1016/0927‐0256(96)00008‐010.1016/0927‐0256(96)00008‐0 ↗
39. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
40. 10.1103/PhysRevB.46.667110.1103/PhysRevB.46.6671 ↗
41. 10.1016/j.apsusc.2017.09.12010.1016/j.apsusc.2017.09.120 ↗
42. 10.1021/ja801648h10.1021/ja801648h ↗