journal article·2025-09-12

99.7% Faradaic Efficiency in Nitrate Reduction Enabled by Defect-Rich Copper Nanoparticles

Xuan Liu, Jiewen Liu, Ankang Chen, Shouwen Yang, Lina Jiang, Yongming Sui

ACS Applied Nano Materials· Volume 8· Issue 36
Publisher page

Abstract

The electrocatalytic reduction of nitrate toward ammonia (NH 3 ) over Cu-based catalysts under mild conditions addresses many challenges of the Haber-Bosch reaction, providing a sustainable method for NH 3 synthesis, yet it is limited by low conversion rates and faradaic efficiency. In this study, an efficient copper nanoparticle (Cu NP) electrocatalyst was developed for the NO 3 – RR to synthesize NH 3 under mild conditions to enhance the efficiency of the NO 3 – RR. The Cu NPs were synthesized by a facile liquid-phase reduction method and are characterized by high specific surface area and abundant defects that synergistically enhance active site exposure and intermediate adsorption. Electrochemical testing exhibited high NO 3 – conversion and NH 3 selectivity along with a FE of 99.7% at −0.4 V (vs RHE) with 0.02 M NO 3 – . Notably, the catalyst was able to maintain >95% NO 3 – conversion and >90% NH 3 selectivity over a wide range of nitrate concentrations (0.01–0.5 M) at a voltage of −0.7 V (vs RHE). The catalyst also showed excellent stability over 10 cycles with negligible performance degradation. This work advances the progress of Cu-based catalysts for the NO 3 – RR while providing a sustainable pathway for nitrate wastewater remediation and green NH 3 production.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Ammonia Synthesis and Nitrogen Reduction · Caching and Content Delivery · Nanomaterials for catalytic reactions

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

Affiliations

State Key Laboratory of High Pressure and Superhard Materials, Synergetic Extreme Condition High-Pressure Science Center, College of Physics

Jilin University

References (53)

Show source-provided references
1. 10.1016/j.cattod.2005.10.01110.1016/j.cattod.2005.10.011 ↗
2. 10.1021/cr800369610.1021/cr8003696 ↗
3. 10.1039/D1CS00116G10.1039/D1CS00116G ↗
4. 10.1016/j.chempr.2017.10.00410.1016/j.chempr.2017.10.004 ↗
5. 10.1039/D3IM00036B10.1039/D3IM00036B ↗
6. 10.1002/cplu.20210035610.1002/cplu.202100356 ↗
7. 10.1038/s41929-019-0280-010.1038/s41929-019-0280-0 ↗
8. 10.1016/j.joule.2019.10.00610.1016/j.joule.2019.10.006 ↗
9. 10.1038/ngeo32510.1038/ngeo325 ↗
10. 10.1016/B978-012470100-7/50026-110.1016/B978-012470100-7/50026-1 ↗
11. 10.1016/j.joule.2020.12.02510.1016/j.joule.2020.12.025 ↗
12. 10.1039/D1CS00857A10.1039/D1CS00857A ↗
13. 10.1002/adfm.20230635810.1002/adfm.202306358 ↗
14. 10.1016/j.jcis.2022.09.01210.1016/j.jcis.2022.09.012 ↗
15. 10.1002/sus2.14610.1002/sus2.146 ↗
16. 10.1038/s41929-018-0092-710.1038/s41929-018-0092-7 ↗
17. 10.1038/s41929-019-0252-410.1038/s41929-019-0252-4 ↗
18. 10.1016/j.apcatb.2022.12165110.1016/j.apcatb.2022.121651 ↗
19. 10.1002/anie.20220592310.1002/anie.202205923 ↗
20. 10.1039/D1TA03662A10.1039/D1TA03662A ↗
21. 10.1039/D5CP00171D10.1039/D5CP00171D ↗
22. 10.1007/s42114-024-00960-010.1007/s42114-024-00960-0 ↗
23. 10.1021/acs.langmuir.5b0028310.1021/acs.langmuir.5b00283 ↗
24. 10.1016/S1381-1169(99)00375-110.1016/S1381-1169(99)00375-1 ↗
25. 10.1002/adfm.20240969610.1002/adfm.202409696 ↗
26. 10.1021/acscatal.4c0670510.1021/acscatal.4c06705 ↗
27. 10.1038/s41467-025-55889-910.1038/s41467-025-55889-9 ↗
28. 10.1021/acs.jpcc.3c0580410.1021/acs.jpcc.3c05804 ↗
29. 10.1016/j.apcatb.2025.12525410.1016/j.apcatb.2025.125254 ↗
30. 10.1002/adfm.20231532410.1002/adfm.202315324 ↗
31. 10.1039/C6CS00094K10.1039/C6CS00094K ↗
32. 10.1021/acsnano.2c0460310.1021/acsnano.2c04603 ↗
33. 10.1021/jacs.2c0226210.1021/jacs.2c02262 ↗
34. 10.1021/acscatal.3c0439810.1021/acscatal.3c04398 ↗
35. 10.1021/acsnano.4c0577210.1021/acsnano.4c05772 ↗
36. 10.1002/adma.20250092010.1002/adma.202500920 ↗
37. 10.1021/acsami.1c2169110.1021/acsami.1c21691 ↗
38. 10.1038/nature0921210.1038/nature09212 ↗
39. 10.1016/j.chempr.2023.05.03710.1016/j.chempr.2023.05.037 ↗
40. 10.1002/adma.20230402110.1002/adma.202304021 ↗
41. 10.1038/s41467-022-35664-w10.1038/s41467-022-35664-w ↗
42. 10.1002/anie.20230332710.1002/anie.202303327 ↗
43. 10.1002/anie.20240481910.1002/anie.202404819 ↗
44. 10.1038/s41563-024-02084-810.1038/s41563-024-02084-8 ↗
45. 10.1016/j.jhazmat.2019.12165110.1016/j.jhazmat.2019.121651 ↗
46. 10.1016/j.watres.2021.11688110.1016/j.watres.2021.116881 ↗
47. 10.1038/s41467-024-47025-w10.1038/s41467-024-47025-w ↗
48. 10.1002/anie.20231510910.1002/anie.202315109 ↗
49. 10.1016/j.fuel.2022.12610610.1016/j.fuel.2022.126106 ↗
50. 10.1021/acssuschemeng.2c0649810.1021/acssuschemeng.2c06498 ↗
51. 10.1039/D2CC05331D10.1039/D2CC05331D ↗
52. 10.1016/j.apmt.2021.10120610.1016/j.apmt.2021.101206 ↗
53. 10.1016/j.cej.2022.13734110.1016/j.cej.2022.137341 ↗