Nitrogenase‐Inspired Mo‐Ru‐Mo Electron Bridge Anchored in Covalent Organic Frameworks for Efficient Photocatalytic Nitrogen Reduction

Abstract The photocatalytic nitrogen (N 2 ) reduction reaction (NRR) is a promising route for sustainable ammonia (NH 3 ) synthesis, yet it is limited by the inefficient and non‐directional transfer of electrons from light‐harvesters to catalytic sites. Inspired by the directional electron‐relay function in nitrogenases, this is rationally designed and synthesized a V‐shaped, trimetallic molybdenum‐ruthenium‐molybdenum (Mo‐Ru‐Mo, RuMo 2 ) electron bridge, anchored within the bipyridine‐based covalent organic frameworks (COFs) for efficient NRR. This biomimetic electron bridge, featuring a central Ru(II) photosensitizer flanked by two Mo(VI) catalytic centers via bipyrimidine linkers, with two ultra‐short (≈5.4 Å) Ru‐to‐Mo electron transfer channels. Remarkably, the optimized catalyst, COF‐2‐RuMo 2 , achieved an impressive ammonia production rate of 406.6 µmol g −1 h −1 , an 8‐fold enhancement over the pure COF‐2. Comprehensive photophysical studies and density functional theory (DFT) calculations reveal that the RuMo 2 bridge promotes efficient exciton dissociation, facilitates rapid dual‐channel electron transfer to the Mo centers, and enables effective N 2 activation via a synergistic electronic effect, following an alternating reduction pathway. This work offers valuable insights into the structural design of COF‐based photocatalysts featuring engineered electron transfer pathways.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-09-29
DOI
https://doi.org/10.1002/adfm.202519637
Citations
3
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
1.09
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article

Nitrogenase‐Inspired Mo‐Ru‐Mo Electron Bridge Anchored in Covalent Organic Frameworks for Efficient Photocatalytic Nitrogen Reduction

Yu He, Wang‐Kang Han, Wenwen Chi, Zhi‐Guo Gu et al.
3 citations
Advanced Functional Materials
Advanced Photocatalysis Techniques
1.09
article

Nitrogenase‐Inspired Mo‐Ru‐Mo Electron Bridge Anchored in Covalent Organic Frameworks for Efficient Photocatalytic Nitrogen Reduction

Yu He, Wang‐Kang Han, Wenwen Chi, Zhi‐Guo Gu, Huan Pang, Wenda Zhang, Yong Liu
article en
3 citations

Abstract

Abstract The photocatalytic nitrogen (N 2 ) reduction reaction (NRR) is a promising route for sustainable ammonia (NH 3 ) synthesis, yet it is limited by the inefficient and non‐directional transfer of electrons from light‐harvesters to catalytic sites. Inspired by the directional electron‐relay function in nitrogenases, this is rationally designed and synthesized a V‐shaped, trimetallic molybdenum‐ruthenium‐molybdenum (Mo‐Ru‐Mo, RuMo 2 ) electron bridge, anchored within the bipyridine‐based covalent organic frameworks (COFs) for efficient NRR. This biomimetic electron bridge, featuring a central Ru(II) photosensitizer flanked by two Mo(VI) catalytic centers via bipyrimidine linkers, with two ultra‐short (≈5.4 Å) Ru‐to‐Mo electron transfer channels. Remarkably, the optimized catalyst, COF‐2‐RuMo 2 , achieved an impressive ammonia production rate of 406.6 µmol g −1 h −1 , an 8‐fold enhancement over the pure COF‐2. Comprehensive photophysical studies and density functional theory (DFT) calculations reveal that the RuMo 2 bridge promotes efficient exciton dissociation, facilitates rapid dual‐channel electron transfer to the Mo centers, and enables effective N 2 activation via a synergistic electronic effect, following an alternating reduction pathway. This work offers valuable insights into the structural design of COF‐based photocatalysts featuring engineered electron transfer pathways.

Advanced Functional MaterialsVol. 36(16)
Jiangnan University (CN), Yangzhou University (CN)
Openalex Percentile: Top 21%
Advanced Photocatalysis Techniques
1.09
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Nitrogenase‐Inspired Mo‐Ru‐Mo Electron Bridge Anchored in Covalent Organic Frameworks for Efficient Photocatalytic Nitrogen Reduction — Yu He, Wang‐Kang Han, et al. · Advanced Functional Materials (2025) | TGRS Research Map | TGRS