Overcoming the Activity‐CH <sub>4</sub> Reducibility Trade‐off in Dry Reforming of Methane via Spatially Separated Rh <sub>1</sub> and Frustrated Lewis Pairs

W Wenjie Guo (School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai 200240, China) W Wenbin Li (College of Life Science, Liaoning Normal University, Dalian, China.) J Jiyun Ren S Sai Zhang (Department of Biomedical Informatics &amp; Data Science, Yale School of Medicine, New Haven, CT, USA.)

Abstract

Abstract Achieving high CO 2 conversion with minimal reductant input is essential for enabling a sustainable carbon cycle. Dry reforming of methane (DRM) represents a key pathway toward this goal, yet it is typically limited by CH 4 reducibility (moles of CO 2 consumed per mole of CH 4 ) of 1 mol CO2 mol CH4 −1 , and temperatures &gt;700 °C. These limitations arise from an inherent trade‐off between catalytic activity and CH 4 reducibility, imposed by thermodynamic and kinetic constraints. Herein, we report a catalyst comprising spatially isolated Rh atoms (Rh 1 ) and frustrated Lewis pairs (FLPs) on porous CeO 2 nanorods, which decouples the DRM process into two elemental steps: CO 2 reduction and CH 4 partial oxidation. This spatial separation enables simultaneous high activity and exceptional CH 4 reducibility by facilitating *O migration form FLPs (for CO 2 reduction and *O storage) to Rh 1 (for CH 4 partial oxidation). The optimized catalyst exhibits a CO production rate of 83.4 mol g Rh −1  h −1 at 450 °C, surpassing state‐of‐the‐art catalysts, while achieving a CH 4 reducibility of 2.54 mol CO2 mol CH4 −1 , significantly exceeding the conventional DRM limit. Furthermore, the catalyst demonstrates outstanding stability over 350 h. This work offers a robust strategy for overcoming classical trade‐off in DRM, rendering it a promising candidate for industrial application.

Article Details

Volume / Issue Vol. 65, Issue 2
Published January 09, 2026
ISSN 1433-7851
Publisher Wiley

Journal Info

Angewandte Chemie International Edition

Wiley

ISSN: 1433-7851 Physical Sciences

Authors (4)

W

Wenjie Guo

School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai 200240, China

W

Wenbin Li

College of Life Science, Liaoning Normal University, Dalian, China.

J

Jiyun Ren

S

Sai Zhang

Department of Biomedical Informatics &amp; Data Science, Yale School of Medicine, New Haven, CT, USA.