Dual Reaction Pathways on Ga2O3-ZnO/Cu for Efficient CO2-to-Methanol Conversion

Abstract The design of metal–support interfaces is critical for overcoming the persistent trade-off between CO2 conversion and methanol selectivity in CO2 hydrogenation. Though an inverse catalyst with an oxide-on-metal configuration provides a platform for tuning interfacial properties, the distinct roles of multi-interfaces with different electronic properties and how they collectively govern reaction pathways remain largely unexplored. Herein, we constructed an inverse Ga2O3-ZnO/Cu catalyst to engineer dual pathways for efficient CO2-to-methanol conversion. Comprehensive characterization reveals that Ga2O3 induces charge redistribution in the catalyst for more oxygen vacancies, which enhance CO2 adsorption. The Cu-ZnO interface facilitates the formation of key intermediates along the formate pathway. Meanwhile, Ga also introduces a RWGS + CO* hydrogenation pathway to preferentially convert CO2 to methanol. In addition, Ga2O3 loading-enabled smaller Cu nanoparticles further enhanced H2 dissociation and spillover on the surface. Consequently, the optimized Ga2O3-ZnO/Cu catalyst achieves a high space time yield of methanol (728.73 gCH3OH kgcat–1 h–1) with a high methanol selectivity of 82.37% at 220 °C and 3 MPa. This work provides insights into engineering reaction pathways for methanol synthesis via the rational design of synergistic active sites.

Authors

Institutions

Publication Details

Journal
ACS Catalysis
Published
2026-10-22
DOI
https://doi.org/10.1021/acscatal.6c06583
Primary Topic
Catalysts for Methane Reforming
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dual Reaction Pathways on Ga2O3-ZnO/Cu for Efficient CO2-to-Methanol Conversion

Rongxin Xia, Jun Cheng, Yunshuyu Sun, Meng Zhang et al.
ACS Catalysis
Catalysts for Methane Reforming
article

Dual Reaction Pathways on Ga2O3-ZnO/Cu for Efficient CO2-to-Methanol Conversion

Rongxin Xia, Jun Cheng, Yunshuyu Sun, Meng Zhang, Yuxiang Mao, Zhefeng Li, Zhen Lin, Yi Qiu
article en

Abstract

Abstract The design of metal–support interfaces is critical for overcoming the persistent trade-off between CO2 conversion and methanol selectivity in CO2 hydrogenation. Though an inverse catalyst with an oxide-on-metal configuration provides a platform for tuning interfacial properties, the distinct roles of multi-interfaces with different electronic properties and how they collectively govern reaction pathways remain largely unexplored. Herein, we constructed an inverse Ga2O3-ZnO/Cu catalyst to engineer dual pathways for efficient CO2-to-methanol conversion. Comprehensive characterization reveals that Ga2O3 induces charge redistribution in the catalyst for more oxygen vacancies, which enhance CO2 adsorption. The Cu-ZnO interface facilitates the formation of key intermediates along the formate pathway. Meanwhile, Ga also introduces a RWGS + CO* hydrogenation pathway to preferentially convert CO2 to methanol. In addition, Ga2O3 loading-enabled smaller Cu nanoparticles further enhanced H2 dissociation and spillover on the surface. Consequently, the optimized Ga2O3-ZnO/Cu catalyst achieves a high space time yield of methanol (728.73 gCH3OH kgcat–1 h–1) with a high methanol selectivity of 82.37% at 220 °C and 3 MPa. This work provides insights into engineering reaction pathways for methanol synthesis via the rational design of synergistic active sites.

ACS Catalysis
Chongqing University (CN), Zhoushan Institute of Calibration for Quality and Technology Supervision (CN), Zhejiang University (CN)
Openalex Percentile: Top 36%
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.

Laika access coming soon