Restructuring hydrogen-bonding networks via hydroxyl-functionalized covalent organic frameworks for efficient nitrate electroreduction

Electrocatalytic nitrate reduction reaction (NO 3 RR) is a promising strategy for nitrate removal and ammonia synthesis, but its efficiency is largely limited by sluggish proton transfer kinetics and poor reaction selectivity. Herein, we rationally design a series of hydroxyl-functionalized copper phthalocyanine-based covalent organic frameworks (Cu-COF-nOH) to regulate interfacial proton transfer via restructuring hydrogen-bonding networks. The hydroxyl functional groups in Cu-COF-nOH enhance water adsorption and dissociation to enrich interfacial proton supply. Optimized hydroxyl loading further induces the formation of continuous hydrogen-bond chains, enabling oriented and accelerated proton shuttling toward Cu active centers instead of stochastic diffusion. Electrocatalytic tests in 0.5 M nitrate electrolyte show that the optimal Cu-COF-4OH catalyst achieves an ammonia Faradaic efficiency of 93.20% and an NH 3 yield rate of 65.84 mg·h −1 , along with excellent long-term stability, outperforming most state-of-the-art NO 3 RR electrocatalysts. Combined with in situ characterizations and theoretical calculations, we clearly clarify that hydroxyl-mediated hydrogen-bonding restructuring plays a critical role in boosting proton transfer kinetics and reaction selectivity. This work provides a versatile interface engineering strategy for efficient multiproton/electron-coupled electrocatalytic reactions, offering insights into the design of high-performance NO 3 RR catalysts.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-10-15
DOI
https://doi.org/10.1073/pnas.2615084123
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.00

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article

Restructuring hydrogen-bonding networks via hydroxyl-functionalized covalent organic frameworks for efficient nitrate electroreduction

Xingchi Li, Donglin Han, Dengsong Zhang, Runfang Mao et al.
Proceedings of the National Academy of Sciences
Ammonia Synthesis and Nitrogen Reduction
article

Restructuring hydrogen-bonding networks via hydroxyl-functionalized covalent organic frameworks for efficient nitrate electroreduction

Xingchi Li, Donglin Han, Dengsong Zhang, Runfang Mao, Wenqiang Qu, Emiliano Cortés, Zhenlin Wang, Haotian Huang, Mingquan Cai, Rongbin Zhang, Haiyan Duan, Ying Zhu, Hui Zhang
article en

Abstract

Electrocatalytic nitrate reduction reaction (NO 3 RR) is a promising strategy for nitrate removal and ammonia synthesis, but its efficiency is largely limited by sluggish proton transfer kinetics and poor reaction selectivity. Herein, we rationally design a series of hydroxyl-functionalized copper phthalocyanine-based covalent organic frameworks (Cu-COF-nOH) to regulate interfacial proton transfer via restructuring hydrogen-bonding networks. The hydroxyl functional groups in Cu-COF-nOH enhance water adsorption and dissociation to enrich interfacial proton supply. Optimized hydroxyl loading further induces the formation of continuous hydrogen-bond chains, enabling oriented and accelerated proton shuttling toward Cu active centers instead of stochastic diffusion. Electrocatalytic tests in 0.5 M nitrate electrolyte show that the optimal Cu-COF-4OH catalyst achieves an ammonia Faradaic efficiency of 93.20% and an NH 3 yield rate of 65.84 mg·h −1 , along with excellent long-term stability, outperforming most state-of-the-art NO 3 RR electrocatalysts. Combined with in situ characterizations and theoretical calculations, we clearly clarify that hydroxyl-mediated hydrogen-bonding restructuring plays a critical role in boosting proton transfer kinetics and reaction selectivity. This work provides a versatile interface engineering strategy for efficient multiproton/electron-coupled electrocatalytic reactions, offering insights into the design of high-performance NO 3 RR catalysts.

Proceedings of the National Academy of SciencesVol. 123(42)
University of Toronto (CA), University of Manchester (GB), Ludwig-Maximilians-Universität München (DE)
Deutsche Forschungsgemeinschaft, National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 35%
Ammonia Synthesis and Nitrogen Reduction
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