Modulation of Electron-Donation Ability to Enhance the Low-Temperature NO Oxidation Performance of Mn3O4/YMn2O5
Source abstract
Abstract
Managing the substantial NO x emissions during the cold start of diesel vehicles presents a critical environmental challenge. Enhancing the conversion of NO to NO 2 at low temperatures can significantly improve the efficiency of diesel aftertreatment systems. Manganese-based mullite catalysts are cost-effective and promising for NO oxidation; however, their low-temperature activity requires further enhancement. In this study, we innovatively leverage the strong electronic interactions between Mn 3 O 4 and YMn 2 O 5 to enhance the low-temperature NO oxidation activity (50% at 200 °C) of Mn 3 O 4 /YMn 2 O 5, demonstrating high activity (CO conversion: T 100 = 222 °C, C 3 H 6 conversion: T 100 = 209 °C, C 3 H 8 conversion: T 100 = 341 °C, NO maximum conversion: 78.7% at 300 °C) and stability (CO and C 3 H 6 conversion: 100%, C 3 H 8 conversion: 94.06%, NO conversion: 78.7% at 300 °C for 10 h) under a simulated exhaust gas mixture. Structural analysis (X-ray diffraction (XRD), Raman, and transmission electron microscopy (TEM)) confirmed the uniform coexistence of Mn 3 O 4 and YMn 2 O 5 phases. Furthermore, X-ray photoelectron spectroscopy (XPS) and X-ray absorption fine structure (XAFS) indicated that Mn 3 O 4 decreased the average Mn valence state, increased Mn–Mn interactions, and modified Mn–O coordination, contributing to improved catalytic performance. In situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and density functional theory (DFT) calculations further revealed that Mn 3 O 4 /YMn 2 O 5 enhances electron transfer to adsorbed O 2, reducing its dissociation energy barrier and destabilizing nitrite intermediates, thereby accelerating the Eley–Rideal (E–R) mechanism for NO oxidation.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Catalytic Processes in Materials Science · Catalysis and Oxidation Reactions · Gas Sensing Nanomaterials and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National Engineering Research Center for Rare Earth, GRIREM Advanced Materials Co. Ltd.
School of Metallurgical and Ecological Engineering
University of Science & Technology Beijing
General Research Institute for Nonferrous Metals
Funding
National Natural Science Foundation of China · Yunnan Precious Metals Laboratory Co., Ltd.
References (56)
Show source-provided references
1. 10.1016/j.envint.2023.10833010.1016/j.envint.2023.108330 ↗
2. 10.5194/acp-15-8889-201510.5194/acp-15-8889-2015 ↗
3. 10.1016/j.fuel.2022.12726810.1016/j.fuel.2022.127268 ↗
4. 10.1016/j.jes.2021.12.01210.1016/j.jes.2021.12.012 ↗
5. 10.1016/j.scitotenv.2023.16818810.1016/j.scitotenv.2023.168188 ↗
6. 10.1021/acs.est.8b0704810.1021/acs.est.8b07048 ↗
7. 10.1080/01614940.2011.59642910.1080/01614940.2011.596429 ↗
8. 10.1016/j.matpr.2020.11.96410.1016/j.matpr.2020.11.964 ↗
9. 10.1007/s11356-018-3487-810.1007/s11356-018-3487-8 ↗
10. Fujdala, K. L.; Truex, T. J.; Nicholas, J. B.; Woo, J. W. In Rational Design of Oxidation Catalysts for Diesel Emission Control, SAE Technolnical Paper Series; SAE, 2008.10.4271/2008-01-0070 ↗
11. 10.1016/j.apcatb.2012.07.02910.1016/j.apcatb.2012.07.029 ↗
12. 10.1016/j.apcatb.2014.12.03510.1016/j.apcatb.2014.12.035 ↗
13. 10.1595/205651323X1685608345377010.1595/205651323X16856083453770 ↗
14. 10.1016/j.jece.2023.11023710.1016/j.jece.2023.110237 ↗
15. 10.1016/j.apcata.2016.01.00510.1016/j.apcata.2016.01.005 ↗
16. 10.1016/j.cej.2017.04.00610.1016/j.cej.2017.04.006 ↗
17. 10.1016/j.catcom.2018.09.00510.1016/j.catcom.2018.09.005 ↗
18. 10.1039/C6RA10103H10.1039/C6RA10103H ↗
19. 10.1021/acs.iecr.2c0248910.1021/acs.iecr.2c02489 ↗
20. 10.1126/science.122509110.1126/science.1225091 ↗
21. 10.1016/j.jcat.2021.07.02710.1016/j.jcat.2021.07.027 ↗
22. 10.1016/j.fuel.2022.12683810.1016/j.fuel.2022.126838 ↗
23. 10.1021/acs.jpcc.3c0491110.1021/acs.jpcc.3c04911 ↗
24. 10.1016/j.cclet.2023.10914110.1016/j.cclet.2023.109141 ↗
25. 10.1021/jacs.9b0333410.1021/jacs.9b03334 ↗
26. 10.1021/acscatal.5b0024910.1021/acscatal.5b00249 ↗
27. 10.1021/acsami.1c2096510.1021/acsami.1c20965 ↗
28. 10.1016/j.fuel.2021.12168510.1016/j.fuel.2021.121685 ↗
29. 10.1021/acscatal.1c0395510.1021/acscatal.1c03955 ↗
30. 10.1016/j.apcatb.2022.12199310.1016/j.apcatb.2022.121993 ↗
31. 10.1021/acscatal.2c0189710.1021/acscatal.2c01897 ↗
32. 10.1016/j.jcat.2022.03.01810.1016/j.jcat.2022.03.018 ↗
33. 10.1039/C5CY01919B10.1039/C5CY01919B ↗
34. 10.1038/s41467-024-51473-910.1038/s41467-024-51473-9 ↗
35. 10.1016/j.jcat.2018.01.00210.1016/j.jcat.2018.01.002 ↗
36. 10.1088/0953-8984/28/12/12560210.1088/0953-8984/28/12/125602 ↗
37. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
38. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
39. 10.1103/PhysRevB.41.789210.1103/PhysRevB.41.7892 ↗
40. 10.1063/1.132967210.1063/1.1329672 ↗
41. 10.1021/acs.est.1c0892210.1021/acs.est.1c08922 ↗
42. 10.1103/PhysRevB.92.13440910.1103/PhysRevB.92.134409 ↗
43. 10.1016/j.apcata.2022.11874210.1016/j.apcata.2022.118742 ↗
44. 10.1039/C7RA09306C10.1039/C7RA09306C ↗
45. 10.1107/S002188981300353110.1107/S0021889813003531 ↗
46. 10.1016/j.apsusc.2018.08.22610.1016/j.apsusc.2018.08.226 ↗
47. 10.1016/j.apcatb.2023.12264910.1016/j.apcatb.2023.122649 ↗
48. 10.1039/C5CY01798J10.1039/C5CY01798J ↗
49. 10.1021/acscatal.3c0187110.1021/acscatal.3c01871 ↗
50. 10.1039/D1EE00569C10.1039/D1EE00569C ↗
51. 10.1016/j.cej.2020.12836210.1016/j.cej.2020.128362 ↗
52. 10.1016/j.apcatb.2019.02.00510.1016/j.apcatb.2019.02.005 ↗
53. 10.1021/acscatal.0c0070310.1021/acscatal.0c00703 ↗
54. 10.1016/j.cej.2023.14215010.1016/j.cej.2023.142150 ↗
55. 10.1016/j.jcis.2010.08.03110.1016/j.jcis.2010.08.031 ↗
56. 10.1006/jcat.2001.341310.1006/jcat.2001.3413 ↗