Activity‐Selectivity Trends in Electrochemical Urea Synthesis: Co‐Reduction of CO<sub>2</sub> and Nitrates Over Single‐Site Catalysts

Electrochemical co-reduction of carbon dioxide and nitrates (CO<sub>2</sub>NO<sub>3</sub>RR) holds promise for sustainable urea production. However, the sluggish kinetics of the sixteen-electron transfer and unclear mechanistic understanding strongly impede its development. Here, combined experimental and computational approaches are employed to screen a series of metal phthalocyanine as model catalysts (MPcs, M = Zn, Co, Ni, Cu, and Fe) to uncover the activity-selectivity trends in electrochemical CO<sub>2</sub>NO<sub>3</sub>RR. The theoretical simulations reveal that the thermodynamics of urea synthesis is significantly influenced by key intermediates, where the enhanced adsorption of *HOOCNO, coupled with reduced adsorptions of *N and *COOH, and moderate adsorption of *H<sub>2</sub>O, can significantly promote the urea production. ΔG<sub>*HOOCNO</sub>-ΔG<sub>*N</sub>-ΔG<sub>*COOH</sub>+ΔG<sub>*H2O</sub> as a potential descriptor is proposed for predicting the efficiency of CO<sub>2</sub>NO<sub>3</sub>RR toward urea formation. The findings provide systematic guidance for the future design of high-efficiency catalysts for urea electrosynthesis, addressing a crucial need for sustainable nitrogen fixation.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-05-08
DOI
https://doi.org/10.1002/advs.202501882
Citations
3
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
1.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Activity‐Selectivity Trends in Electrochemical Urea Synthesis: Co‐Reduction of CO2 and Nitrates Over Single‐Site Catalysts

Qinglan Zhao, Mohammad Farhadpour, Yushen Liu, Xueping Qin et al.
3 citations
Advanced Science
Ammonia Synthesis and Nitrogen Reduction
1.17
article

Activity‐Selectivity Trends in Electrochemical Urea Synthesis: Co‐Reduction of CO2 and Nitrates Over Single‐Site Catalysts

Qinglan Zhao, Mohammad Farhadpour, Yushen Liu, Xueping Qin, Dapeng Cao, Minhua Shao, Fei Xiao, Minghui Xing, Shangqian Zhu, Tejs Vegge, Yuan Zhang, Hongming Xu
article en
3 citations

Abstract

Electrochemical co-reduction of carbon dioxide and nitrates (CO<sub>2</sub>NO<sub>3</sub>RR) holds promise for sustainable urea production. However, the sluggish kinetics of the sixteen-electron transfer and unclear mechanistic understanding strongly impede its development. Here, combined experimental and computational approaches are employed to screen a series of metal phthalocyanine as model catalysts (MPcs, M = Zn, Co, Ni, Cu, and Fe) to uncover the activity-selectivity trends in electrochemical CO<sub>2</sub>NO<sub>3</sub>RR. The theoretical simulations reveal that the thermodynamics of urea synthesis is significantly influenced by key intermediates, where the enhanced adsorption of *HOOCNO, coupled with reduced adsorptions of *N and *COOH, and moderate adsorption of *H<sub>2</sub>O, can significantly promote the urea production. ΔG<sub>*HOOCNO</sub>-ΔG<sub>*N</sub>-ΔG<sub>*COOH</sub>+ΔG<sub>*H2O</sub> as a potential descriptor is proposed for predicting the efficiency of CO<sub>2</sub>NO<sub>3</sub>RR toward urea formation. The findings provide systematic guidance for the future design of high-efficiency catalysts for urea electrosynthesis, addressing a crucial need for sustainable nitrogen fixation.

Advanced ScienceVol. 12(27)
Hong Kong University of Science and Technology (HK), Chinese National Engineering Research Center for Control and Treatment of Heavy Metal Pollution (CN), Guangzhou HKUST Fok Ying Tung Research Institute (CN), Beijing University of Chemical Technology (CN), Southeast University (CN), University of Hong Kong (HK), Technical University of Denmark (DK)
Responsible consumption and production
Openalex Percentile: Top 23%
Ammonia Synthesis and Nitrogen Reduction
1.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.