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Updated: May 14, 2026

Synthesis of Metal Nanoparticles Supported on Carbon Nanotube with Doped Co and N Atoms and its Catalytic Applications in Hydrogen Production
Published on: December 6, 2021
Revealing Cu0-Cu+ Synergistic Catalysis for Rational Design of Cu/TiO2 Composites toward Nitrate Reduction into
Mei-Ying Wang1, Wen-Pu Fan1, Dong Wang1
1State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Centre for Computational Chemistry and Research and Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P. R. China.
None:
The size effect of supported metal particles profoundly influences catalytic performance, but how to determine the optimal size to enhance the catalytic activity still faces significant challenges. This work systematically investigates the complete reaction mechanism as well as region-dependent catalytic behaviors of nitrate reduction into ammonia on representative Cu/TiO2 composites, using extensive ab initio molecular dynamics (AIMD) simulations and density functional theory calculations. Mechanistically, we demonstrated the direct N-O bond cleavage of NO3* via a tilted tridentate configuration whereas a prehydrogenation assisted dissociation pathway in the forms of HO-NO* and HN-OH* for NO2* and NO* intermediates on supported copper particles. Geometrically, interface Cu+ sites show excellent deoxygenation activity with reduced reaction barriers for NO3* + * → NO2* + O*, while surface Cu0 boosts the hydrogenation of subsequent intermediates. Together with the surmountable diffusion of NOx species as well as electronic/geometric correlation analysis, we identified a novel mechanism of Cu0-Cu+ synergistic catalysis that realizes the superior activity of supported Cu for nitrate reduction in experiments. Further, by employing a hemispherical wetting model and coordinating Cu0/Cu+ ratios, our results suggest that supported Cu nanoparticles with a diameter of 1-2 nm are the best catalysts for photocatalytic nitrate reduction. This study provides a general approach for designing the optimal size of supported metal particle catalysts.
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