journal article·2026-08

Engineering CO 2 Pre‐Activation in In‐MOF for Enhancing its Electroreduction Activity

Tingting Zhan, Xiuling Ma, Qinhui Song, Yunbin Li, Hao Zhang, Zizhu Yao, Chulong Liu, Shengchang Xiang, Banglin Chen, Zhangjing Zhang

Small· Volume 22· Issue 43
Publisher page

Abstract

ABSTRACT The efficiency of electrocatalytic CO 2 reduction (ECR) is largely governed by the adsorption of CO 2 , a step often accompanied by pre‐activation via molecular bending and electron redistribution before the first electron transfer occurs. However, the explicit correlation between the extent of CO 2 pre‐activation and the resultant reaction performance remains elusive due to the lack of direct structural evidence. Herein, we employ two In‐MOFs, FJU‐350 and FJU‐351, as crystalline model catalysts to visualize distinct CO 2 pre‐activation configurations and unravel their critical role in ECR. FJU‐350 exhibits superior ECR performance with FE formate of 90.9% at −1.4 V (vs. RHE), outperforming FJU‐351 (88.6% at −1.6 V). Single‐crystal X‐ray diffraction analyses indicate that this 200 mV efficiency gain is the consequence of their distinct structural microenvironments. FJU‐350 features a polarized carboxyl‐oxygen site, stabilizing a uniquely bent CO 2 species (127.2°) via single‐site interaction, indicative of pronounced pre‐activation. Theoretical calculations confirm that the highly distorted configuration facilitates charge transfer and lowers the energy barrier. In contrast, FJU‐351 lacks such a directed site, accommodating near‐linear CO 2 (≥153.3°) via delocalized π‐interactions. This work reveals a correlation between the pre‐activated CO 2 configuration and its electroreduction performance, providing a strategic foundation for designing efficient catalysts through precise micro‐environment engineering.
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Research context

OpenAlex topics: CO2 Reduction Techniques and Catalysts · Advanced Photocatalysis Techniques · Electrocatalysts for Energy Conversion

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science Fujian Normal University Fuzhou Fujian China

State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fuzhou Fujian China

Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Materials Science Zhejiang Normal University Jinhua Zhejiang China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Fujian Province

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