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  5. Crystallographically vacancy‐induced MOF nanosheet as rational single‐atom support for accelerating CO<sub>2</sub> electroreduction to CO

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Article
en
2024

Crystallographically vacancy‐induced MOF nanosheet as rational single‐atom support for accelerating CO<sub>2</sub> electroreduction to CO

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en
2024
Vol 6 (8)
Vol. 6
DOI: 10.1002/cey2.510

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Ho Won Jang
Ho Won Jang

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Jin Hyuk Cho
Joonhee Ma
Chaehyeon Lee
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Abstract

Abstract To attain a circular carbon economy and resolve CO 2 electroreduction technology obstacles, single‐atom catalysts (SACs) have emerged as a logical option for electrocatalysis because of their extraordinary catalytic activity. Among SACs, metal–organic frameworks (MOFs) have been recognized as promising support materials because of their exceptional ability to prevent metal aggregation. This study shows that atomically dispersed Ni single atoms on a precisely engineered MOF nanosheet display a high Faradaic efficiency of approximately 100% for CO formation in H‐cell and three‐compartment microfluidic flow‐cell reactors and an excellent turnover frequency of 23,699 h −1 , validating their intrinsic catalytic potential. These results suggest that crystallographic variations affect the abundant vacancy sites on the MOF nanosheets, which are linked to the evaporation of Zn‐containing organic linkers during pyrolysis. Furthermore, using X‐ray absorption spectroscopy and density functional theory calculations, a comprehensive investigation of the unsaturated atomic coordination environments and the underlying mechanism involving CO* preadsorbed sites as initial states was possible and provided valuable insights.

How to cite this publication

Jin Hyuk Cho, Joonhee Ma, Chaehyeon Lee, Jin Wook Lim, Young Ho Kim, Ho Yeon Jang, Jaehyun Kim, Myung‐gi Seo, Youngheon Choi, Youn Jeong Jang, ‪Sang Hyun Ahn, Ho Won Jang, Seoin Back, Jong‐Lam Lee, Soo Young Kim (2024). Crystallographically vacancy‐induced MOF nanosheet as rational single‐atom support for accelerating CO<sub>2</sub> electroreduction to CO. , 6(8), DOI: https://doi.org/10.1002/cey2.510.

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Publication Details

Type

Article

Year

2024

Authors

15

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/cey2.510

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