Mixed-Valence Intermetallic Compounds for Urea Electrosynthesis

Efficient urea electrosynthesis relies on precisely controlling the kinetics of two parallel reduction reactions, i.e., carbon dioxide (CO<sub>2</sub>) reduction and nitrate (NO<sub>3</sub><sup>-</sup>) reduction. However, a major challenge lies in constructing stable and different active sites at the atomic scale, which are essential for synchronizing the reaction kinetics of these two reactions and facilitating C-N coupling. Herein, we introduce a mixed-valence intermetallic compound (Mv-IMC) Cu<sub>2</sub>Sb, featuring Cu<sup>+</sup>-Cu<sup>2+</sup> dual-sites as modular building blocks to regulate and synchronize CO<sub>2</sub> and NO<sub>3</sub><sup>-</sup> reduction kinetics. Mechanistic studies reveal that the constructed dual-sites stabilize *CO and *NO intermediates, lower the energy barrier of C-N coupling, and significantly enhance the urea synthesis efficiency. The Cu<sub>2</sub>Sb catalyst achieves a urea yield of 22.9 mmol h<sup>-1</sup> g<sub>cat</sub><sup>-1</sup> with a Faradaic efficiency of 64.9% at -0.4 V, maintaining stability over 200 h, surpassing most previously reported catalysts. This work pioneers the precise construction of multivalent active sites in Mv-IMCs, establishing a paradigm for designing high-performance electrocatalysts tailored to value-added organic synthesis.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2025-10-14
DOI
https://doi.org/10.1021/acsnano.5c14949
Citations
1
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mixed-Valence Intermetallic Compounds for Urea Electrosynthesis

Huaifang Zhang, Jing Xia, Wenbin Cao, Chaoqun Ma et al.
1 citations
ACS Nano
Ammonia Synthesis and Nitrogen Reduction
0.39
article

Mixed-Valence Intermetallic Compounds for Urea Electrosynthesis

Huaifang Zhang, Jing Xia, Wenbin Cao, Chaoqun Ma, Qipeng Lu, Wei Lin, Lijie Zhu, Yanru Zhang, Xiangmin Meng, Fukai Feng, Xiao Ma, Gang Lin, Shuaishuai Xu, Yonghui Ren
article en
1 citations

Abstract

Efficient urea electrosynthesis relies on precisely controlling the kinetics of two parallel reduction reactions, i.e., carbon dioxide (CO<sub>2</sub>) reduction and nitrate (NO<sub>3</sub><sup>-</sup>) reduction. However, a major challenge lies in constructing stable and different active sites at the atomic scale, which are essential for synchronizing the reaction kinetics of these two reactions and facilitating C-N coupling. Herein, we introduce a mixed-valence intermetallic compound (Mv-IMC) Cu<sub>2</sub>Sb, featuring Cu<sup>+</sup>-Cu<sup>2+</sup> dual-sites as modular building blocks to regulate and synchronize CO<sub>2</sub> and NO<sub>3</sub><sup>-</sup> reduction kinetics. Mechanistic studies reveal that the constructed dual-sites stabilize *CO and *NO intermediates, lower the energy barrier of C-N coupling, and significantly enhance the urea synthesis efficiency. The Cu<sub>2</sub>Sb catalyst achieves a urea yield of 22.9 mmol h<sup>-1</sup> g<sub>cat</sub><sup>-1</sup> with a Faradaic efficiency of 64.9% at -0.4 V, maintaining stability over 200 h, surpassing most previously reported catalysts. This work pioneers the precise construction of multivalent active sites in Mv-IMCs, establishing a paradigm for designing high-performance electrocatalysts tailored to value-added organic synthesis.

ACS NanoVol. 19(42)
Chinese Academy of Sciences (CN), Xinjiang Institute of Engineering (CN), Technical Institute of Physics and Chemistry (CN), China University of Petroleum, East China (CN), Beijing Information Science & Technology University (CN), University of Science and Technology Beijing (CN)
Openalex Percentile: Top 38%
Ammonia Synthesis and Nitrogen Reduction
0.39
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.