Mixed-valence Cu-based metal-organic framework for selective CO <sub>2</sub> electroreduction to C <sub>1</sub> liquid fuels with high energy conversion efficiency

Efficient CO<sub>2</sub> electroreduction requires catalysts for enhanced energy conversion efficiency and carbon product selectivity with low overpotential, in consideration of the interference of competitive H<sub>2</sub> evolution reaction and complex intermediate species involved. We propose that adaptive electronic structures based on dynamic mixed-valence interconversion would facilitate electron transfer and intermediate turnover during the catalysis, ensuring high activity, selectivity, and durability. Herein, a novel mixed-valence Cu-based metal-organic framework was prepared using an electron-rich linker for electrocatalytic reduction of CO<sub>2</sub>. The designed material delivered a remarkable Faradaic efficiency of 99.2% for C1 liquid fuels at a low reduction potential of −0.1 V versus reversible hydrogen electrode, considerably higher than that of the commercial copper foam and competitive to the Cu-based electrocatalysts reported. The experimental data and theoretical calculations verified the Cu(I)/Cu(II) interconversion and the much higher energy barrier of H<sub>2</sub> evolution than carbon product generation. Such a feasible strategy, simultaneously improving energy conversion efficiency, carbon product selectivity, and structural robustness, provides great insights into rational catalyst customization for sustainable CO<sub>2</sub> conversion.

Authors

Publication Details

Journal
Nano Research
Published
2025-03-11
DOI
https://doi.org/10.26599/nr.2025.94907317
Citations
2
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mixed-valence Cu-based metal-organic framework for selective CO 2 electroreduction to C 1 liquid fuels with high energy conversion efficiency

Yifan Gu, Luyao Wang, Fengting Li
2 citations
Nano Research
CO2 Reduction Techniques and Catalysts
0.73
article

Mixed-valence Cu-based metal-organic framework for selective CO 2 electroreduction to C 1 liquid fuels with high energy conversion efficiency

Yifan Gu, Luyao Wang, Fengting Li
article en
2 citations

Abstract

Efficient CO<sub>2</sub> electroreduction requires catalysts for enhanced energy conversion efficiency and carbon product selectivity with low overpotential, in consideration of the interference of competitive H<sub>2</sub> evolution reaction and complex intermediate species involved. We propose that adaptive electronic structures based on dynamic mixed-valence interconversion would facilitate electron transfer and intermediate turnover during the catalysis, ensuring high activity, selectivity, and durability. Herein, a novel mixed-valence Cu-based metal-organic framework was prepared using an electron-rich linker for electrocatalytic reduction of CO<sub>2</sub>. The designed material delivered a remarkable Faradaic efficiency of 99.2% for C1 liquid fuels at a low reduction potential of −0.1 V versus reversible hydrogen electrode, considerably higher than that of the commercial copper foam and competitive to the Cu-based electrocatalysts reported. The experimental data and theoretical calculations verified the Cu(I)/Cu(II) interconversion and the much higher energy barrier of H<sub>2</sub> evolution than carbon product generation. Such a feasible strategy, simultaneously improving energy conversion efficiency, carbon product selectivity, and structural robustness, provides great insights into rational catalyst customization for sustainable CO<sub>2</sub> conversion.

Nano ResearchVol. 18(4)
Affordable and clean energy
Openalex Percentile: Top 33%
CO2 Reduction Techniques and Catalysts
0.73
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.

Mixed-valence Cu-based metal-organic framework for selective CO <sub>2</sub> electroreduction to C <sub>1</sub> liquid fuels with high energy conversion efficiency — Yifan Gu, Luyao Wang, et al. · Nano Research (2025) | TGRS Research Map | TGRS