Boosting the Faraday Efficiency of Electrochemical Ammonia Synthesis via the Strain Effect Induced by Interfacial Hybrid Formation between BN and Carbon Nanotubes
Source abstract
Abstract
The electrochemical nitrogen reduction reaction (eNRR) is a highly promising alternative to the Haber–Bosch (H–B) process, but its commercial development is limited by the high bond energy of N 2 molecules and the presence of the competitive hydrogen evolution reaction (HER). Here, a metal-free composite electrocatalyst of boron nitride (h-BNNs) and carbon nanotubes (CNTs) was explored through the interfacial hybridization of h-BNNs and CNTs, which showed a highly improved eNRR Faraday efficiency (FE) of 63.9% and an NH 3 yield rate of 36.5 μg h –1 mg cat. –1 at −0.691 V (vs RHE). New chemical bonds of C–B and C–N were observed, indicating a strong interaction between CNTs and h-BNNs. According to the Raman spectra and the optimized model of h-BNNs/CNTs, an obvious strain effect between h-BNNs and CNTs was supposed to play a significant role in the highly improved FE, compared with the FE of h-BNNs alone (4.7%). Density functional theory (DFT) calculations further showed that h-BNNs/CNTs had lower energy barriers in eNRR, giving them higher N 2 to NH 3 selectivity, while h-BNNs have lower energy barriers in the HER. This work shows the important role of the strain effect in boosting the selectivity in the eNRR process.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Ammonia Synthesis and Nitrogen Reduction · Advanced Photocatalysis Techniques · Hydrogen Storage and Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Chemistry and Chemical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
Funding
National Natural Science Foundation of China · Youth Innovation Team of Shannxi Universities
References (73)
Show source-provided references
1. 10.1126/science.aas979310.1126/science.aas9793 ↗
2. 10.1016/j.joule.2020.04.00410.1016/j.joule.2020.04.004 ↗
3. 10.1016/j.pecs.2018.07.00110.1016/j.pecs.2018.07.001 ↗
4. 10.1039/C9EE02873K10.1039/C9EE02873K ↗
5. 10.1002/adma.20190480410.1002/adma.201904804 ↗
6. 10.1126/science.aar661110.1126/science.aar6611 ↗
7. 10.1016/j.cej.2020.12731010.1016/j.cej.2020.127310 ↗
8. 10.1002/smtd.20180033710.1002/smtd.201800337 ↗
9. 10.1002/adma.20200572110.1002/adma.202005721 ↗
10. 10.1016/j.ijhydene.2022.09.06110.1016/j.ijhydene.2022.09.061 ↗
11. 10.1016/j.renene.2014.06.03410.1016/j.renene.2014.06.034 ↗
12. 10.1038/s44160-023-00321-710.1038/s44160-023-00321-7 ↗
13. 10.1039/D0EE03596C10.1039/D0EE03596C ↗
14. 10.1039/D0EE03808C10.1039/D0EE03808C ↗
15. 10.1016/j.chempr.2021.01.00910.1016/j.chempr.2021.01.009 ↗
16. 10.1038/2267210.1038/22672 ↗
17. 10.1038/ngeo32510.1038/ngeo325 ↗
18. 10.1038/483525a10.1038/483525a ↗
19. 10.1016/j.joule.2018.04.01710.1016/j.joule.2018.04.017 ↗
20. 10.1038/ngeo32510.1038/ngeo325 ↗
21. 10.1038/s41929-019-0252-410.1038/s41929-019-0252-4 ↗
22. 10.1016/j.coelec.2023.10129210.1016/j.coelec.2023.101292 ↗
23. 10.1016/j.est.2022.10568410.1016/j.est.2022.105684 ↗
24. 10.1002/chem.20200090910.1002/chem.202000909 ↗
25. 10.1039/C9CS00159J10.1039/C9CS00159J ↗
26. 10.1007/s10008-022-05228-510.1007/s10008-022-05228-5 ↗
27. 10.1038/s41929-018-0092-710.1038/s41929-018-0092-7 ↗
28. 10.1002/cssc.20200067010.1002/cssc.202000670 ↗
29. 10.1002/celc.20190196710.1002/celc.201901967 ↗
30. 10.1021/acs.energyfuels.2c0139010.1021/acs.energyfuels.2c01390 ↗
31. 10.1016/j.chempr.2021.01.00910.1016/j.chempr.2021.01.009 ↗
32. 10.1007/s12274-022-5117-510.1007/s12274-022-5117-5 ↗
33. 10.1021/acsami.2c1709210.1021/acsami.2c17092 ↗
34. 10.1007/s43207-021-00142-410.1007/s43207-021-00142-4 ↗
35. 10.1002/er.741410.1002/er.7414 ↗
36. 10.1002/anie.20180638610.1002/anie.201806386 ↗
37. 10.1021/acscatal.7b0216510.1021/acscatal.7b02165 ↗
38. 10.1021/acs.nanolett.9b0257210.1021/acs.nanolett.9b02572 ↗
39. 10.1021/nl900988f10.1021/nl900988f ↗
40. 10.1038/363603a010.1038/363603a0 ↗
41. 10.1002/smll.20220411610.1002/smll.202204116 ↗
42. 10.1016/j.joule.2018.06.00710.1016/j.joule.2018.06.007 ↗
43. 10.1021/jacs.8b0747210.1021/jacs.8b07472 ↗
44. 10.1007/s12274-019-2323-x10.1007/s12274-019-2323-x ↗
45. 10.1021/acsanm.2c0046710.1021/acsanm.2c00467 ↗
46. 10.1021/acsami.3c0794710.1021/acsami.3c07947 ↗
47. 10.3389/fchem.2023.112215010.3389/fchem.2023.1122150 ↗
48. 10.1002/smtd.20230079110.1002/smtd.202300791 ↗
49. 10.1039/C3CS60389J10.1039/C3CS60389J ↗
50. 10.1007/s12274-023-5641-y10.1007/s12274-023-5641-y ↗
51. 10.1038/nmat446510.1038/nmat4465 ↗
52. 10.1038/s41929-023-01005-310.1038/s41929-023-01005-3 ↗
53. 10.1021/acsenergylett.0c0032110.1021/acsenergylett.0c00321 ↗
54. 10.1002/slct.20200373610.1002/slct.202003736 ↗
55. 10.1021/acsomega.1c0340610.1021/acsomega.1c03406 ↗
56. 10.1021/acssuschemeng.9b0338710.1021/acssuschemeng.9b03387 ↗
57. 10.1080/1536383X.2020.173793310.1080/1536383X.2020.1737933 ↗
58. 10.1103/PhysRevB.52.1187210.1103/PhysRevB.52.11872 ↗
59. 10.1246/cl.2006.98610.1246/cl.2006.986 ↗
60. 10.1021/acs.chemmater.0c0010410.1021/acs.chemmater.0c00104 ↗
61. 10.1016/j.diamond.2019.01.00610.1016/j.diamond.2019.01.006 ↗
62. 10.1016/j.diamond.2021.10835010.1016/j.diamond.2021.108350 ↗
63. 10.1039/C5GC03061G10.1039/C5GC03061G ↗
64. 10.1021/acssuschemeng.0c0033010.1021/acssuschemeng.0c00330 ↗
65. 10.1016/j.apcatb.2022.12157410.1016/j.apcatb.2022.121574 ↗
66. 10.1021/nl051779j10.1021/nl051779j ↗
67. 10.1021/acsnano.2c0712810.1021/acsnano.2c07128 ↗
68. 10.1039/C7RA12872J10.1039/C7RA12872J ↗
69. 10.1103/PhysRevB.85.03340710.1103/PhysRevB.85.033407 ↗
70. 10.1073/pnas.190794711610.1073/pnas.1907947116 ↗
71. 10.1021/acsnano.2c0885310.1021/acsnano.2c08853 ↗
72. 10.1039/C5TA06869J10.1039/C5TA06869J ↗
73. 10.1007/s10853-020-05085-510.1007/s10853-020-05085-5 ↗