Fe <sup>2+</sup> /Fe <sup>3+</sup> Redox Modulation in Iron-Based Metal–Organic Frameworks for Efficient C–N Coupling in Electrocatalytic Urea Synthesis

Designing efficient catalysts for the electrocatalytic coreduction of CO<sub>2</sub> and N<sub>2</sub> into urea remains challenging due to the sluggish activation of both molecules and the complex C-N coupling process. Herein, we report an iron-based metal-organic framework (Fe-MOF) system in which the ratio of Fe<sup>2+</sup>/Fe<sup>3+</sup> active sites is modulated via solvent regulation to promote synergistic catalysis. Structural and spectroscopic analyses confirm that Fe-MOF-1, prepared in ethanol, possesses a higher Fe<sup>2+</sup>/Fe<sup>3+</sup> ratio (0.91) than Fe-MOF-2 (0.56), leading to enhanced electronic conductivity and charge-transfer efficiency. Fe-MOF-1 exhibits a urea yield rate of 3.02 mmol h<sup>-1</sup> g<sup>-1</sup> with a Faradaic efficiency of 10.4% at -0.71 V (vs RHE), outperforming Fe-MOF-2. In situ FT-IR analysis reveals the generation of *COOH, *NH<sub>2</sub>, and C-N intermediates, confirming the occurrence of C-N coupling on Fe-MOF-1. The cooperative function of Fe<sup>2+</sup> and Fe<sup>3+</sup> centers facilitates simultaneous CO<sub>2</sub> reduction and N<sub>2</sub> activation, enabling efficient urea synthesis under mild conditions. This work provides mechanistic insights and a rational design strategy for dual-valence metal sites toward sustainable C-N coupling catalysis.

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Publication Details

Journal
Langmuir
Published
2026-02-09
DOI
https://doi.org/10.1021/acs.langmuir.5c06370
Citations
1
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
9.79
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article

Fe 2+ /Fe 3+ Redox Modulation in Iron-Based Metal–Organic Frameworks for Efficient C–N Coupling in Electrocatalytic Urea Synthesis

Z. C. Wang, Jieyao Song, Wen-Yi Zhou, Junjian Li et al.
1 citations
Langmuir
CO2 Reduction Techniques and Catalysts
9.79
article

Fe 2+ /Fe 3+ Redox Modulation in Iron-Based Metal–Organic Frameworks for Efficient C–N Coupling in Electrocatalytic Urea Synthesis

Z. C. Wang, Jieyao Song, Wen-Yi Zhou, Junjian Li, Ge Dong, Jun-Ru Tian
article en
1 citations

Abstract

Designing efficient catalysts for the electrocatalytic coreduction of CO<sub>2</sub> and N<sub>2</sub> into urea remains challenging due to the sluggish activation of both molecules and the complex C-N coupling process. Herein, we report an iron-based metal-organic framework (Fe-MOF) system in which the ratio of Fe<sup>2+</sup>/Fe<sup>3+</sup> active sites is modulated via solvent regulation to promote synergistic catalysis. Structural and spectroscopic analyses confirm that Fe-MOF-1, prepared in ethanol, possesses a higher Fe<sup>2+</sup>/Fe<sup>3+</sup> ratio (0.91) than Fe-MOF-2 (0.56), leading to enhanced electronic conductivity and charge-transfer efficiency. Fe-MOF-1 exhibits a urea yield rate of 3.02 mmol h<sup>-1</sup> g<sup>-1</sup> with a Faradaic efficiency of 10.4% at -0.71 V (vs RHE), outperforming Fe-MOF-2. In situ FT-IR analysis reveals the generation of *COOH, *NH<sub>2</sub>, and C-N intermediates, confirming the occurrence of C-N coupling on Fe-MOF-1. The cooperative function of Fe<sup>2+</sup> and Fe<sup>3+</sup> centers facilitates simultaneous CO<sub>2</sub> reduction and N<sub>2</sub> activation, enabling efficient urea synthesis under mild conditions. This work provides mechanistic insights and a rational design strategy for dual-valence metal sites toward sustainable C-N coupling catalysis.

LangmuirVol. 42(7)
Anhui University (CN), Huaibei Normal University (CN), Northwestern Polytechnical University (CN), Modern Electron (United States) (US), International Iberian Nanotechnology Laboratory (PT), University of Modern Sciences (AE), Taiyuan University of Technology (CN)
Openalex Percentile: Top 3%
CO2 Reduction Techniques and Catalysts
9.79
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Fe <sup>2+</sup> /Fe <sup>3+</sup> Redox Modulation in Iron-Based Metal–Organic Frameworks for Efficient C–N Coupling in Electrocatalytic Urea Synthesis — Z. C. Wang, Jieyao Song, et al. · Langmuir (2026) | TGRS Research Map | TGRS