journal article·2026-04Open access

Regulating Defect‐Coordinated Single‐Iron‐Atom Catalysts for Efficient Nitrate Reduction Reactions

Xia Ma, Haoying Han, Zhonghui Yang, Hua Li, Xinyu Yan, Jiakang Guo, Chen Chen, Xiaorui Jiao, Yajun Xiang, Gang Wang, Yanwei Yang, Fengjuan Chen, Liang Huang

Carbon Energy· Volume 8· Issue 4

Abstract

ABSTRACT Electrocatalytic nitrate reduction represents a sustainable strategy to mitigate nitrogen cycle imbalance by converting NO 3 − into NH 3 under ambient conditions. However, conventional catalysts usually suffer from limitations in activity–selectivity–stability synergy. Herein, we propose a rational design guided by density functional theory calculation to engineer defect‐coordinated iron single‐atom catalysts (Fe─N 2 , Fe─N 3 , and Fe─N 4 ) for efficient electrocatalytic nitrate reduction. The superior Fe─N 2 catalyst with asymmetric coordination geometry achieves an unprecedented nitrate‐to‐ammonia conversion efficiency of 29,700 mg N/g at −0.65 V (vs. reversible hydrogen electrode) with 100% NH 3 selectivity as well as exceptional durability, maintaining > 95% activity over 480 h of continuous operation. In situ X‐ray absorption near‐edge structure directly captures dynamic valence‐state modulation of Fe sites under reaction conditions, coupled with stable Fe–N coordination, confirming electron‐density enrichment at active sites and robust structural integrity. Online differential electrochemical mass spectrometry and in situ Raman spectroscopy reveal the sequential reduction pathway (NO 3 − → NO 2 − → NO → NH 2 OH → NH 3 ), directly correlating the asymmetric Fe─N 2 coordination with optimized reaction kinetics. Practical validation in a continuous‐flow reactor demonstrates > 98% nitrogen removal efficiency for 1.0 L nitrate‐contaminated wastewater (100 ppm NO 3 − –N) within four cycles through using this Fe─N 2 ‐based electrode, achieving World Health Organization (WHO)‐compliant drinking water standards. This work establishes asymmetric Fe─N 2 coordination as a paradigm for high‐performance nitrate reduction, bridging computational design with scalable synthesis to advance sustainable nitrogen valorization and environmental remediation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Ammonia Synthesis and Nitrogen Reduction · Environmental remediation with nanomaterials · Metalloenzymes and iron-sulfur proteins

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

Affiliations

State Key Laboratory of Applied Organic Chemistry, College of Chemistry and Chemical Engineering Lanzhou University Lanzhou Gansu China

Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China

Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China

School of Materials and Energy, Electron Microscopy Centre of Lanzhou University Lanzhou University Lanzhou China

Funding

National Natural Science Foundation of China

References (40)

Show source-provided references
1. 10.1016/j.jece.2023.10941810.1016/j.jece.2023.109418 ↗
2. 10.1016/j.watres.2019.05.10410.1016/j.watres.2019.05.104 ↗
3. 10.1002/adfm.20241597010.1002/adfm.202415970 ↗
4. 10.1021/acsnano.4c0675410.1021/acsnano.4c06754 ↗
5. 10.1002/anie.20230804410.1002/anie.202308044 ↗
6. 10.1002/anie.20240912510.1002/anie.202409125 ↗
7. 10.1038/s41929-021-00609-x10.1038/s41929-021-00609-x ↗
8. 10.1016/j.jhazmat.2022.13012210.1016/j.jhazmat.2022.130122 ↗
9. 10.1016/j.checat.2021.09.01210.1016/j.checat.2021.09.012 ↗
10. 10.1016/j.apcatb.2022.12218110.1016/j.apcatb.2022.122181 ↗
11. 10.1039/D4EE02747G10.1039/D4EE02747G ↗
12. 10.1016/j.apcatb.2022.12198310.1016/j.apcatb.2022.121983 ↗
13. Embedded Fe─Cu Pairs Enable Tandem Nitrate‐to‐Ammonia Electroreduction
14. 10.1016/j.apcatb.2025.12581310.1016/j.apcatb.2025.125813 ↗
15. 10.1002/smll.20250252710.1002/smll.202502527 ↗
16. 10.1002/adfm.20250681710.1002/adfm.202506817 ↗
17. 10.1016/j.cej.2024.14860310.1016/j.cej.2024.148603 ↗
18. 10.1021/acsnano.3c1005810.1021/acsnano.3c10058 ↗
19. 10.1002/smll.20231117410.1002/smll.202311174 ↗
20. 10.1002/anie.20240962910.1002/anie.202409629 ↗
21. 10.1038/s41893-024-01302-010.1038/s41893-024-01302-0 ↗
22. 10.1038/s41893-024-01300-210.1038/s41893-024-01300-2 ↗
23. 10.1021/acs.nanolett.1c0133510.1021/acs.nanolett.1c01335 ↗
24. 10.1016/j.apcatb.2023.12306410.1016/j.apcatb.2023.123064 ↗
25. 10.1002/adfm.20220608110.1002/adfm.202206081 ↗
26. 10.1038/s41467-023-39366-910.1038/s41467-023-39366-9 ↗
27. 10.1002/smll.20210532910.1002/smll.202105329 ↗
28. 10.1002/advs.20240706310.1002/advs.202407063 ↗
29. 10.1021/acs.nanolett.0c0192510.1021/acs.nanolett.0c01925 ↗
30. 10.1016/S1872-2067(23)64578-410.1016/S1872-2067(23)64578-4 ↗
31. 10.1002/adfm.20240383810.1002/adfm.202403838 ↗
32. 10.1002/adma.20240477410.1002/adma.202404774 ↗
33. 10.1021/acs.est.0c0563110.1021/acs.est.0c05631 ↗
34. 10.1016/j.jcis.2022.12.00610.1016/j.jcis.2022.12.006 ↗
35. 10.1039/D0TA02317E10.1039/D0TA02317E ↗
36. 10.1073/pnas.210562811810.1073/pnas.2105628118 ↗
37. 10.1021/acs.nanolett.9b0192510.1021/acs.nanolett.9b01925 ↗
38. 10.1038/s41467-024-46389-310.1038/s41467-024-46389-3 ↗
39. 10.1016/j.apcatb.2022.12172110.1016/j.apcatb.2022.121721 ↗
40. 10.1021/acsami.0c0395310.1021/acsami.0c03953 ↗