Electrothermally Catalytic CO <sub>2</sub> Selective Hydrogenation to Methanol on Electric Field‐Responsive Cu/in <sub>2</sub> O <sub>3</sub> Catalyst

Abstract The Cu and In 2 O 3 ‐based catalysts are broadly utilized in CO 2 hydrogenation to methanol, however, they often suffer from the limitations of catalytic activity, selectivity, and stability. Herein, a kind of functional Cu/In 2 O 3 catalyst having unique physicochemical properties under an imposed electric field is developed for efficient and selective CO 2 hydrogenation to methanol. Distinct from the conventional thermally catalytic process, the intensification of an external electric field will facilitate the reduction Cu + to Cu 0 species and formation of oxygen vacancy in In 2 O 3 and modulate CO 2 adsorption and desorption behavior, which consequently promote the effective activation of CO 2 and H 2 to selectively produce methanol other than CO. As a result, the space‐time yield of methanol can reach up to 130.4 mg g Cat h −1 with selectivity of 97.9%, which remarkably surpasses the reported system even using noble metal at comparable hydrogenation condition. Structure‐activity analysis indicates the content of Cu 0 and oxygen vacancy in catalyst show linear relationships with CO 2 transformative rate and methanol selectivity, respectively. In situ mechanism investigation reveals that the CO 2 ‐to‐methanol hydrogenation follows the formate pathway under an electric field which accelerates the generation of HCOO * and CH 3 O * . This work will provide a new strategy for efficient CO 2 selective hydrogenation to methanol.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-12-18
DOI
https://doi.org/10.1002/adfm.202529880
Primary Topic
Catalysts for Methane Reforming
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electrothermally Catalytic CO 2 Selective Hydrogenation to Methanol on Electric Field‐Responsive Cu/in 2 O 3 Catalyst

Senlin Deng, Hui Zhao, Qi Li, Gang Wang et al.
Advanced Functional Materials
Catalysts for Methane Reforming
article

Electrothermally Catalytic CO 2 Selective Hydrogenation to Methanol on Electric Field‐Responsive Cu/in 2 O 3 Catalyst

Senlin Deng, Hui Zhao, Qi Li, Gang Wang, Jie Li, Tong Wu, Chunshan Li
article en

Abstract

Abstract The Cu and In 2 O 3 ‐based catalysts are broadly utilized in CO 2 hydrogenation to methanol, however, they often suffer from the limitations of catalytic activity, selectivity, and stability. Herein, a kind of functional Cu/In 2 O 3 catalyst having unique physicochemical properties under an imposed electric field is developed for efficient and selective CO 2 hydrogenation to methanol. Distinct from the conventional thermally catalytic process, the intensification of an external electric field will facilitate the reduction Cu + to Cu 0 species and formation of oxygen vacancy in In 2 O 3 and modulate CO 2 adsorption and desorption behavior, which consequently promote the effective activation of CO 2 and H 2 to selectively produce methanol other than CO. As a result, the space‐time yield of methanol can reach up to 130.4 mg g Cat h −1 with selectivity of 97.9%, which remarkably surpasses the reported system even using noble metal at comparable hydrogenation condition. Structure‐activity analysis indicates the content of Cu 0 and oxygen vacancy in catalyst show linear relationships with CO 2 transformative rate and methanol selectivity, respectively. In situ mechanism investigation reveals that the CO 2 ‐to‐methanol hydrogenation follows the formate pathway under an electric field which accelerates the generation of HCOO * and CH 3 O * . This work will provide a new strategy for efficient CO 2 selective hydrogenation to methanol.

Advanced Functional Materials
Ji Hua Laboratory (CN), Chengdu Organic Chemicals (China) (CN), Institute of Process Engineering (CN), Zhengzhou Institute of Emerging Industrial Technology (CN), University of Chinese Academy of Sciences (CN), Huizhou University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 72%
Catalysts for Methane Reforming
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.