Optimized electron transfer in Ru/Cu@MXene electrocatalysts for ultra-selective and high-yield electrochemical NH3 synthesis
Electrocatalytic nitrogen oxide reduction (eNO x RR) has emerged as a promising alternative to the energy-intensive Haber-Bosch process for the sustainable production of ammonia (NH 3 ). However, challenges such as poor selectivity, multi-electron transfer pathways, and catalyst instability hinder industrial feasibility. To address these limitations, we report a Ru/Cu@MXene tandem electrocatalyst that strategically integrates Cu and Ru clusters on an MXene support to enhance NO x conversion efficiency. Prior to catalyst application in eNO x RR, we engineered the work function ( Φ ) of Ru-Cu-based clusters and attained an optimal Φ of 4.77 eV by incorporating Ru into the Cu@MXene, which facilitates efficient electron (e − ) flow from Ru to Cu. Specifically, Cu promotes strong NO adsorption, while Ru enhances e − transfer to the Cu–NO complex, creating a favorable reaction environment for selectivity of NO x to NH 3 . The synergistic Ru-to-Cu e − transfer mechanism was validated using ultraviolet photoelectron spectroscopy (UPS) and electrochemical analysis, confirming enhanced charge relocation. This optimized interface enabled Ru/Cu@MXene to achieve a high NH 3 yield of 338.35 μg cm −2 h −1 with NH 3 Faradaic efficiency (FE) of 86.77% and overall system's FE is 98.27% at −0.4 V, while simultaneously suppressing parasitic hydrogen (H 2 ) evolution. Theoretical calculations, including charge density difference (CDD), partial density of states (PDOS), and electrostatic potential mapping, further confirmed strong Ru/Cu interfacial coupling, which facilitates efficient NO adsorption and promotes a 5e − transfer pathway for NH 3 formation. Additionally, work function measurements (4.48 eV for Ru/Cu@MXene vs. 4.05 eV for Cu@MXene) demonstrated enhanced e − /H + mobility, further reinforcing the electrocatalyst's superior performance and stability. This study provides a novel tandem catalyst design that optimizes work function engineering for enhanced eNO x RR selectivity and efficiency, paving the way for scalable and sustainable electrochemical NH 3 production.
Authors
- Xi Gao (ORCID: https://orcid.org/0000-0002-3305-8781)
- Ayyaz Mahmood (ORCID: https://orcid.org/0000-0002-8526-2848)
- Hafiz Muhammad Adeel Sharif (ORCID: https://orcid.org/0000-0002-6948-6753)
- Muhammad Bilal Asif (ORCID: https://orcid.org/0000-0003-0126-4617)
- Yang Cai (ORCID: https://orcid.org/0000-0002-4973-1598)
- Changping Li (ORCID: https://orcid.org/0000-0003-1084-4023)
- Jintong Huang
Institutions
- Dongguan University of Technology (CN)
- Guangdong Technion-Israel Institute of Technology (CN)
- University of Southampton (GB)
Publication Details
- Journal
- Nano Materials Science
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1016/j.nanoms.2025.10.014
- Citations
- 2
- Primary Topic
- Ammonia Synthesis and Nitrogen Reduction
- Type
- article
- Field-Weighted Citation Impact
- 0.78