Unlocking Efficient CO2-to-CH4 Photoreduction by Optimizing Protonation Pathways

Abstract Understanding and engineering the rate-determining step (RDS) is key to unlocking the concurrent high activity and selectivity required for efficient CO2-to-CH4 conversion. Herein, we employ mesostructured UiO-66-NH2 (denoted as MUiO) as a model photocatalyst to investigate the pathway control in CO2 photoreduction. Combining macroscopic product and microscopic intermediate kinetic isotope effect (KIE) studies and density functional theory (DFT) calculations, we demonstrate that loading Pd clusters onto MUiO triggers a decisive switch from normal to inverse KIE, thus steering the dominant reaction pathway from CO toward CH4 production and lowering the activation barrier of the RDS from 1.88 to 1.12 eV (from *CH3O → CH4 to *CO → *CHO). The integration of framework and Pd sites promotes high product rate and selectivity by driving RDS through a dual function: enhanced interfacial proton supply by Pd clusters and suppressed unproductive *CO desorption through a kinetic trap for CO within the pores. Consequently, the optimal Pd-MUiO catalyst exhibited a 4.6-fold increase in CH4/CO selectivity and a 62.8-fold improvement in CH4 production relative to the pristine MUiO, surpassing previously reported analogous photocatalysts. This study offers a compelling strategy for tailoring CO2 photoconversion to CH4 by rationally engineering the RDS.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2026-08-20
DOI
https://doi.org/10.1021/jacs.6c07349
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Unlocking Efficient CO2-to-CH4 Photoreduction by Optimizing Protonation Pathways

Xiaojie Ma, Junwen Zhou, Bo Wang, Xiaonan Dong et al.
Journal of the American Chemical Society
Advanced Photocatalysis Techniques
article

Unlocking Efficient CO2-to-CH4 Photoreduction by Optimizing Protonation Pathways

Xiaojie Ma, Junwen Zhou, Bo Wang, Xiaonan Dong, Ji Wu, Yumo Sun, Xiangning He, Keran Zhang, Dawei Xu
article en

Abstract

Abstract Understanding and engineering the rate-determining step (RDS) is key to unlocking the concurrent high activity and selectivity required for efficient CO2-to-CH4 conversion. Herein, we employ mesostructured UiO-66-NH2 (denoted as MUiO) as a model photocatalyst to investigate the pathway control in CO2 photoreduction. Combining macroscopic product and microscopic intermediate kinetic isotope effect (KIE) studies and density functional theory (DFT) calculations, we demonstrate that loading Pd clusters onto MUiO triggers a decisive switch from normal to inverse KIE, thus steering the dominant reaction pathway from CO toward CH4 production and lowering the activation barrier of the RDS from 1.88 to 1.12 eV (from *CH3O → CH4 to *CO → *CHO). The integration of framework and Pd sites promotes high product rate and selectivity by driving RDS through a dual function: enhanced interfacial proton supply by Pd clusters and suppressed unproductive *CO desorption through a kinetic trap for CO within the pores. Consequently, the optimal Pd-MUiO catalyst exhibited a 4.6-fold increase in CH4/CO selectivity and a 62.8-fold improvement in CH4 production relative to the pristine MUiO, surpassing previously reported analogous photocatalysts. This study offers a compelling strategy for tailoring CO2 photoconversion to CH4 by rationally engineering the RDS.

Journal of the American Chemical Society
Beijing Institute of Technology (CN), Beijing Electronic Science and Technology Institute (CN), Beijing Research Institute of Mechanical and Electrical Technology (CN)
National Natural Science Foundation of China, Beijing Institute of Technology, National Key Research and Development Program of China
Openalex Percentile: Top 26%
Advanced Photocatalysis Techniques
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