Metal–Nitrogen–Carbon Catalysts by Dynamic Template Removal for Highly Efficient and Selective Electroreduction of CO2
Source abstract
Abstract
The renewable electroreduction of CO 2 to CO is a key component of future clean energy scenarios. These scenarios allow for the recycling of carbon emissions into value-added chemicals which achieves the joint goal of reducing greenhouse gase(s) while producing valuable chemical product(s). A catalyst which has a high activity and selectivity for the electroreduction of CO 2 to CO is highly desired for these applications. Nonprecious metal catalysts (non-PGM) and specifically metal–nitrogen–carbon (M–N–C) catalysts are prime cathode candidates as they are selective for CO and H 2 formation with only trace amounts of other products such as CH 4 . The traditional method of production of atomically dispersed M–N–C proceeds either through a sacrificial poymer approach or through hard-templating the catalyst with silica. The other is through the direct pyrolysis of nonabundant metal macrocycles such as MOF-based precursors via a soft-templating approach. These syntheses have substantial industrial limitations as they require harsh acid or basic solvents for postpyrolytic removal of the support or they require rare chemical precursors. The method herein uses mechanochemical mixing of a fluorine-containing polymer with common pyrolytic precursors for the in situ removal of the template during the first pyrolysis. Further ball-milling and post-treatment in ammonia atmosphere yield a highly selective catalyst for CO 2 reduction. The role of the metal center in these M–N–C catalysts in promoting CO 2 reduction is explored (M = Fe, Ni, Co, Mn) vs the performance of metal-free N–C. A mechanistic pathway for CO 2 reduction on the various M–N–C catalysts is suggested. The champion catalyst in terms of overall selectivity/activity (Ni–N–C) boasts a 98.9 ± 0.2% faradaic efficiency for CO formation (FE co ) at −1.1 V vs RHE and an unmatched selectivity for CO 2 reduction (FE co > 85%) even at low overpotential ( E = −0.3 V vs RHE) compared to traditional Ni–N–C. The catalysts synthesized here present a promising class of electrocatalysts which may be explored for a range of electrocatalytic applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: CO2 Reduction Techniques and Catalysts · Ionic liquids properties and applications · Ammonia Synthesis and Nitrogen Reduction
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemical and Biomolecular Engineering, University of California, Irvine, California 92697, United States
Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Department of Materials Science and Engineering, University of California, Irvine, California 92697, United States
References (72)
Show source-provided references
1. 10.1016/j.cogsc.2019.01.00510.1016/j.cogsc.2019.01.005 ↗
2. 10.1002/adma.20150476610.1002/adma.201504766 ↗
3. 10.1016/j.isci.2021.10267710.1016/j.isci.2021.102677 ↗
4. 10.1021/cr300463y10.1021/cr300463y ↗
5. 10.1002/aenm.20170075910.1002/aenm.201700759 ↗
6. 10.1021/jacs.0c0097110.1021/jacs.0c00971 ↗
7. 10.1038/s41929-019-0269-810.1038/s41929-019-0269-8 ↗
8. 10.1002/anie.20190361310.1002/anie.201903613 ↗
9. 10.1002/ange.20170372010.1002/ange.201703720 ↗
10. 10.1021/acscatal.9b0151310.1021/acscatal.9b01513 ↗
11. 10.1038/nature1645510.1038/nature16455 ↗
12. 10.1038/s41467-018-03712-z10.1038/s41467-018-03712-z ↗
13. 10.1038/s41467-017-01035-z10.1038/s41467-017-01035-z ↗
14. 10.1002/aenm.20170361410.1002/aenm.201703614 ↗
15. 10.1002/aenm.20210215210.1002/aenm.202102152 ↗
16. 10.1002/aenm.20190306810.1002/aenm.201903068 ↗
17. 10.1016/j.electacta.2015.02.10810.1016/j.electacta.2015.02.108 ↗
18. 10.1021/acs.jpcc.5b0765310.1021/acs.jpcc.5b07653 ↗
19. 10.1016/j.jpowsour.2016.06.09810.1016/j.jpowsour.2016.06.098 ↗
20. 10.1021/acsaem.9b0033110.1021/acsaem.9b00331 ↗
21. 10.1039/C8SC00491A10.1039/C8SC00491A ↗
22. 10.1039/C5CP07458D10.1039/C5CP07458D ↗
23. 10.1002/ange.20150606210.1002/ange.201506062 ↗
24. 10.1038/s41929-021-00705-y10.1038/s41929-021-00705-y ↗
25. 10.1016/j.compositesb.2021.10898610.1016/j.compositesb.2021.108986 ↗
26. 10.1002/advs.20210288610.1002/advs.202102886 ↗
27. 10.1039/C8EE02662A10.1039/C8EE02662A ↗
28. 10.1002/anie.20150905410.1002/anie.201509054 ↗
29. 10.1016/j.proeng.2016.02.08010.1016/j.proeng.2016.02.080 ↗
30. Sindram, M.; Pettiau, X.; Barthe, O. Flue gas treatment in the ceramic industry. 10th World Congress on Ceramic Tile Quality, Castèllon, Spain, Feb. 10–13, 2008; QualiCer, 2008; Vol. 10, pp 10–13.
31. 10.1016/j.elecom.2012.04.02910.1016/j.elecom.2012.04.029 ↗
32. 10.1016/j.mattod.2021.02.00610.1016/j.mattod.2021.02.006 ↗
33. 10.1002/pen.1090810.1002/pen.10908 ↗
34. 10.3390/nano812096510.3390/nano8120965 ↗
35. 10.1016/j.mattod.2022.01.01610.1016/j.mattod.2022.01.016 ↗
36. 10.1103/PhysRevB.86.13420510.1103/PhysRevB.86.134205 ↗
37. 10.1149/2.0051511jes10.1149/2.0051511jes ↗
38. Saini P. · Indian J. Pure Appl. Phys. (IJPAP) · 2017 · 55 · 625
39. 10.1016/j.elspec.2014.07.00310.1016/j.elspec.2014.07.003 ↗
40. 10.1016/j.mtener.2022.10101710.1016/j.mtener.2022.101017 ↗
41. 10.1002/anie.20191285710.1002/anie.201912857 ↗
42. 10.1007/s10008-019-04436-w10.1007/s10008-019-04436-w ↗
43. 10.1016/j.elecom.2016.09.01310.1016/j.elecom.2016.09.013 ↗
44. 10.1016/j.coelec.2018.03.00910.1016/j.coelec.2018.03.009 ↗
45. 10.1016/j.electacta.2017.02.03310.1016/j.electacta.2017.02.033 ↗
46. 10.1116/1.513592310.1116/1.5135923 ↗
47. 10.1002/sia.593510.1002/sia.5935 ↗
48. 10.1021/acscatal.2c0188510.1021/acscatal.2c01885 ↗
49. 10.1039/C9EE03027A10.1039/C9EE03027A ↗
50. 10.1016/j.apsusc.2020.14782410.1016/j.apsusc.2020.147824 ↗
51. 10.1021/acs.jpcc.5b0047710.1021/acs.jpcc.5b00477 ↗
52. 10.1007/s41918-019-00031-910.1007/s41918-019-00031-9 ↗
53. 10.1021/acscatal.9b0259410.1021/acscatal.9b02594 ↗
54. 10.1021/acs.accounts.8b0001010.1021/acs.accounts.8b00010 ↗
55. 10.1002/anie.20150209910.1002/anie.201502099 ↗
56. 10.1002/cssc.20190342710.1002/cssc.201903427 ↗
57. 10.1016/j.apcatb.2018.01.00110.1016/j.apcatb.2018.01.001 ↗
58. 10.1038/s41467-017-01035-z10.1038/s41467-017-01035-z ↗
59. 10.1021/acscatal.8b0102210.1021/acscatal.8b01022 ↗
60. 10.1039/C7EE03245E10.1039/C7EE03245E ↗
61. 10.1002/anie.20110798110.1002/anie.201107981 ↗
62. 10.1002/anie.20150159010.1002/anie.201501590 ↗
63. 10.1021/acsenergylett.7b0007110.1021/acsenergylett.7b00071 ↗
64. 10.1016/j.jpowsour.2022.23099810.1016/j.jpowsour.2022.230998 ↗
65. 10.1002/cite.20190009210.1002/cite.201900092 ↗
66. 10.1016/j.joule.2019.05.00710.1016/j.joule.2019.05.007 ↗
67. 10.1021/acsaem.7b0000210.1021/acsaem.7b00002 ↗
68. 10.1002/aenm.20120075910.1002/aenm.201200759 ↗
69. 10.1016/j.jpowsour.2014.02.01410.1016/j.jpowsour.2014.02.014 ↗
70. 10.1021/acsenergylett.0c0129110.1021/acsenergylett.0c01291 ↗
71. 10.1016/j.jcou.2021.10187810.1016/j.jcou.2021.101878 ↗
72. 10.1021/acscatal.9b0140510.1021/acscatal.9b01405 ↗