Hydrogen Bond Network Descriptors Dictate Reactivity and Selectivity of CO2 Electroreduction

Abstract The hydrogen bond network (HBN) of water plays a key role in the electrocatalytic CO2 reduction reaction (CO2RR). However, a systematic understanding of the HBN and the establishment of predictive descriptors remain lacking, which hinders the rational design of effective electrochemical systems. In this work, two descriptors, hydrogen bond (HB) strength and HB number, are introduced to characterize the flexibility and connectivity of the HBN, respectively. By adding a series of urea derivatives to the electrolyte, both HB strength and HB number can be continuously tuned, enabling precise modulation of HBN flexibility and connectivity. By only varying the HBN properties, the current density, Faradaic efficiency for multicarbon products (FEC2+), and the FEC2H4/FEC2H5OH ratio can be modulated from 0.38 to 0.81 A cm–2, 48.2% to 90.5%, and 1.04 to 2.45, respectively. A direct and predictive link between HBN properties and CO2RR performance is established. An optimal HBN stabilizes the key *CO intermediate through water-mediated hydrogen bonding, thereby enhancing C–C coupling. A highly connected network favors ethylene production, while a flexible HBN promotes ethanol formation. Consequently, the reactivity, FEC2+, and the ethylene/ethanol ratio can all be tuned by adjusting the properties of the HBN.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2026-10-09
DOI
https://doi.org/10.1021/jacs.6c14000
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
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article

Hydrogen Bond Network Descriptors Dictate Reactivity and Selectivity of CO2 Electroreduction

Yanjia Wang, Jiapeng Jiao, Yi Ning Xu, Xinchen Kang et al.
Journal of the American Chemical Society
CO2 Reduction Techniques and Catalysts
article

Hydrogen Bond Network Descriptors Dictate Reactivity and Selectivity of CO2 Electroreduction

Yanjia Wang, Jiapeng Jiao, Yi Ning Xu, Xinchen Kang, Zhongnan Ling, HengAn Wang, Xiaofu Sun, Qinggong Zhu, Huisheng Qin, Buxing Han, Yiyong Wang, Shiju Yu, Shiqiang Liu, Rongjuan Feng, Shipeng Zhang, Ke Li, Jiahao Yang, Meng Zhou
article en

Abstract

Abstract The hydrogen bond network (HBN) of water plays a key role in the electrocatalytic CO2 reduction reaction (CO2RR). However, a systematic understanding of the HBN and the establishment of predictive descriptors remain lacking, which hinders the rational design of effective electrochemical systems. In this work, two descriptors, hydrogen bond (HB) strength and HB number, are introduced to characterize the flexibility and connectivity of the HBN, respectively. By adding a series of urea derivatives to the electrolyte, both HB strength and HB number can be continuously tuned, enabling precise modulation of HBN flexibility and connectivity. By only varying the HBN properties, the current density, Faradaic efficiency for multicarbon products (FEC2+), and the FEC2H4/FEC2H5OH ratio can be modulated from 0.38 to 0.81 A cm–2, 48.2% to 90.5%, and 1.04 to 2.45, respectively. A direct and predictive link between HBN properties and CO2RR performance is established. An optimal HBN stabilizes the key *CO intermediate through water-mediated hydrogen bonding, thereby enhancing C–C coupling. A highly connected network favors ethylene production, while a flexible HBN promotes ethanol formation. Consequently, the reactivity, FEC2+, and the ethylene/ethanol ratio can all be tuned by adjusting the properties of the HBN.

Journal of the American Chemical Society
Chinese Academy of Sciences (CN), Xi'an Polytechnic University (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 34%
CO2 Reduction Techniques and Catalysts
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