journal article·2025-11-25Open access

Copper-Infused MXene from MAX Phase for Enhanced Electrochemical Ammonia Production

Radhika Nittoor-Veedu, Bindu Kalleshappa, Martin Pumera

ACS Nano· Volume 19· Issue 46

Abstract

High Resolution Image Download MS PowerPoint Slide The electrochemical conversion of nitrate to value-added ammonia is a green alternative to the energy-intensive Haber–Bosch process. However, due to inefficient catalysts, guiding the reaction route towards selective ammonia synthesis is still challenging. Here, we report a highly efficient Cu-infused V 2 C catalyst, synthesized via the molten salt synthesis method using selective CuCl 2 etching. The optimized catalyst exhibits a faradaic efficiency of ∼83% and an ammonia yield of 320 μg cm –2 h –1 at −0.7 V vs RHE. We performed 15 N isotopic labeling to ensure the purity and origin of ammonium ions. The synthesis approach was further applied to Ti 3 C 2 MXene, which, upon Cu infusion, achieved a faradaic efficiency of ∼70% and an improved ammonia yield of approximately 450 μg cm –2 h –1 at −0.6 V vs RHE. Our results demonstrate that Cu-infused MXene catalysts achieve high selectivity, faradaic efficiency, and ammonia yield, highlighting the broad applicability of this method across different MXenes derived from various transition metals. Moreover, the Cu infusion approach can be expanded to incorporate other metals, offering versatile potential for developing MXene-based catalysts for a range of applications, from ammonia synthesis to CO 2 reduction.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Ammonia Synthesis and Nitrogen Reduction · MXene and MAX Phase Materials · Advanced Photocatalysis Techniques

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

Affiliations

Future Energy and Innovation Laboratory, Central European Institute of Technology, Brno University of Technology, Purkyňova 123, Brno 61200, Czech Republic

Quantum Materials Laboratory, 3D Printing and Innovation Hub, Center for Nanorobotics and Machine Intelligence, Department of Chemistry and Biochemistry, Mendel University, Zemědělská 1, Brno 61300, Czech Republic

Department of Medical Research, China Medical University Hospital, China Medical University, No. 91 Hsueh-Shih Road, Taichung 40402, Taiwan

Advanced Nanorobots & Multiscale Robotics Laboratory, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, 17. Listopadu 2172/15, Ostrava 70800, Czech Republic

Department of Chemical and Biomolecular Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea

Funding

European Science Foundation · European Commission · European Regional Development Fund · Grantov? Agentura Cesk? Republiky · ANGSTROM

References (34)

Show source-provided references
1. 10.1021/acsenergylett.1c0161410.1021/acsenergylett.1c01614 ↗
2. 10.1016/S0304-3894(99)00039-410.1016/S0304-3894(99)00039-4 ↗
3. 10.1016/j.pecs.2018.07.00110.1016/j.pecs.2018.07.001 ↗
4. 10.1016/j.jpowsour.2008.02.09710.1016/j.jpowsour.2008.02.097 ↗
5. 10.1016/j.joule.2020.04.00410.1016/j.joule.2020.04.004 ↗
6. 10.1016/j.cep.2024.10996210.1016/j.cep.2024.109962 ↗
7. 10.1016/j.chempr.2018.10.01010.1016/j.chempr.2018.10.010 ↗
8. 10.1016/j.cclet.2022.10790810.1016/j.cclet.2022.107908 ↗
9. 10.1002/adma.20210339310.1002/adma.202103393 ↗
10. 10.1021/acs.chemmater.3c0249110.1021/acs.chemmater.3c02491 ↗
11. 10.1002/smll.20190208510.1002/smll.201902085 ↗
12. 10.1038/s41570-022-00384-810.1038/s41570-022-00384-8 ↗
13. 10.1002/smll.20210094610.1002/smll.202100946 ↗
14. 10.1016/j.cej.2020.12511110.1016/j.cej.2020.125111 ↗
15. 10.1002/anie.20211064010.1002/anie.202110640 ↗
16. 10.1002/ange.20180088710.1002/ange.201800887 ↗
17. 10.1002/adma.20170007210.1002/adma.201700072 ↗
18. 10.1016/j.ceramint.2020.08.06510.1016/j.ceramint.2020.08.065 ↗
19. 10.1038/s41467-021-25306-y10.1038/s41467-021-25306-y ↗
20. 10.14102/j.cnki.0254-5861.2022-020110.14102/j.cnki.0254-5861.2022-0201 ↗
21. 10.1039/C6QM00240D10.1039/C6QM00240D ↗
22. 10.1021/acsnano.3c1298910.1021/acsnano.3c12989 ↗
23. 10.1038/s41598-019-40336-910.1038/s41598-019-40336-9 ↗
24. 10.1016/j.est.2023.10862010.1016/j.est.2023.108620 ↗
25. 10.1007/s00726-022-03173-110.1007/s00726-022-03173-1 ↗
26. 10.1002/smll.20241010510.1002/smll.202410105 ↗
27. 10.1016/j.apsusc.2015.11.08910.1016/j.apsusc.2015.11.089 ↗
28. 10.1039/D4TA07436J10.1039/D4TA07436J ↗
29. 10.1007/s10854-019-01868-y10.1007/s10854-019-01868-y ↗
30. 10.1007/s10853-018-2179-610.1007/s10853-018-2179-6 ↗
31. 10.1007/s00604-020-04366-910.1007/s00604-020-04366-9 ↗
32. 10.1039/D4CY01511H10.1039/D4CY01511H ↗
33. 10.1002/ece2.3310.1002/ece2.33 ↗
34. 10.1016/j.apcatb.2023.12263210.1016/j.apcatb.2023.122632 ↗