Improving the Methane Oxidation by Self‐Adaptive Optimization of Liquid‐Metal Catalysts

Abstract Methane (CH 4 ), a major greenhouse gas and abundant carbon resource, presents significant challenges in catalysis due to its high symmetry and thermodynamic stability, which tend to cause over‐oxidation to CO 2 . Traditional catalysts require high temperatures and pressures to facilitate CH 4 conversion, constrained by their rigid structures which lack the flexibility needed for optimizing complex reaction steps. This study introduces a novel Cu embedded liquid metal catalyst (Cu‐LMC) based on gallium alloys, characterized by dynamic, self‐adaptive structures that provide enhanced catalytic performance and selectivity. Our findings reveal that Cu‐LMC achieves a high methane conversion to methanol yield (5.9 mol⋅g Cu −1 ⋅h −1 ) with a selectivity of 82 %. The results show that mild surface oxidation significantly boosts the catalytic performance of Cu‐LMC by increasing active copper sites through the formation of a Cu−O−Ga configuration while preserving the catalyst‘s structural flexibility. In situ X‐ray Photoelectron Spectroscopy (XPS) and X‐ray Absorption Fine Structure (XAFS) analyses, along with ab initio Molecular Dynamics (AIMD) simulations, demonstrate that the Cu‐LMC enables self‐adaptive structural adjustments that lower methanol desorption energy and increase the energy barrier for by‐product formation, optimizing the overall methane conversion process. The results underscore the importance of designing catalysts with dynamic and adaptable structures to overcome traditional limitations and improve efficiency in catalytic reactions.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie
Published
2025-02-04
DOI
https://doi.org/10.1002/ange.202421554
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving the Methane Oxidation by Self‐Adaptive Optimization of Liquid‐Metal Catalysts

Fan Wu, Xiao Han, Yuen Shing Wu, Chunrong Ma et al.
Angewandte Chemie
Catalytic Processes in Materials Science
article

Improving the Methane Oxidation by Self‐Adaptive Optimization of Liquid‐Metal Catalysts

Fan Wu, Xiao Han, Yuen Shing Wu, Chunrong Ma, Qiang Xu, Haoran Zhang, Yan Zhang, Zhiwen Zhang, Jun Jiang, Xiaokang Liu, Zhi Liu, Guozhen Zhang, Xiaoqian Wang, Tao Yao, Yu Zhang, Yinhe Wang, Jun Cai, Zhandong Wang, Yihua Ran, Jing Wang
article en

Abstract

Abstract Methane (CH 4 ), a major greenhouse gas and abundant carbon resource, presents significant challenges in catalysis due to its high symmetry and thermodynamic stability, which tend to cause over‐oxidation to CO 2 . Traditional catalysts require high temperatures and pressures to facilitate CH 4 conversion, constrained by their rigid structures which lack the flexibility needed for optimizing complex reaction steps. This study introduces a novel Cu embedded liquid metal catalyst (Cu‐LMC) based on gallium alloys, characterized by dynamic, self‐adaptive structures that provide enhanced catalytic performance and selectivity. Our findings reveal that Cu‐LMC achieves a high methane conversion to methanol yield (5.9 mol⋅g Cu −1 ⋅h −1 ) with a selectivity of 82 %. The results show that mild surface oxidation significantly boosts the catalytic performance of Cu‐LMC by increasing active copper sites through the formation of a Cu−O−Ga configuration while preserving the catalyst‘s structural flexibility. In situ X‐ray Photoelectron Spectroscopy (XPS) and X‐ray Absorption Fine Structure (XAFS) analyses, along with ab initio Molecular Dynamics (AIMD) simulations, demonstrate that the Cu‐LMC enables self‐adaptive structural adjustments that lower methanol desorption energy and increase the energy barrier for by‐product formation, optimizing the overall methane conversion process. The results underscore the importance of designing catalysts with dynamic and adaptable structures to overcome traditional limitations and improve efficiency in catalytic reactions.

Angewandte ChemieVol. 137(11)
University of Science and Technology of China (CN), ShanghaiTech University (CN), National Synchrotron Radiation Laboratory (CN), Singer (United States) (US)
Openalex Percentile: Top 99%
Catalytic Processes in Materials Science
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.