Nanoparticle-Single-Atom Tandem Catalyst within a Metal–Organic Framework for Efficient Ethylene Electrosynthesis

Copper nanoparticles (Cu NPs) are effective catalysts for the electroreduction of CO<sub>2</sub> (ECO<sub>2</sub>R) to multicarbon products but suffer from insufficient selectivity, aggregation, and deactivation. To address these challenges, we developed an in situ encapsulation strategy that engineers Cu NPs in a metal-organic framework (MOF) host from a simple one-pot hydrothermal synthesis, creating a selective and robust CO<sub>2</sub>R catalyst. The key design is the introduction of Sn additives during synthesis, which later evolve into single atoms (SAs) that serve a dual function: modulating the growth of Cu NPs from 3.35 to 9 nm and acting as active sites for the conversion of CO<sub>2</sub> to CO. The locally generated CO then feeds adjacent Cu NPs, promoting subsequent C-C coupling via a tandem mechanism. The optimal catalyst, with a balanced Cu/Sn ratio, achieves a CO<sub>2</sub>-to-C<sub>2</sub>H<sub>4</sub> Faradaic efficiency (FE) of 64%. Combined theoretical simulations and in situ infrared spectroscopy further reveal that Sn SAs promote Cu NPs electron transfer, enriching the electron density at active sites. This stabilizes *CO intermediates and reduces the energy barriers for CO<sub>2</sub> activation and ensuing C-C coupling steps. This work presents a novel atomic- and nanoscale design strategy for advanced CO<sub>2</sub>RR catalysts.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2026-01-15
DOI
https://doi.org/10.1021/jacs.5c19451
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
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article

Nanoparticle-Single-Atom Tandem Catalyst within a Metal–Organic Framework for Efficient Ethylene Electrosynthesis

He Xu, Zhiwen Yang, Peixin Jiao, Fang‐Yu Ren et al.
Journal of the American Chemical Society
CO2 Reduction Techniques and Catalysts
article

Nanoparticle-Single-Atom Tandem Catalyst within a Metal–Organic Framework for Efficient Ethylene Electrosynthesis

He Xu, Zhiwen Yang, Peixin Jiao, Fang‐Yu Ren, Zhi Fang, Ze‐Long Liang, Bin Zhao, Lei Li, Weiyan Ni, Lu-Qiang Wang, Ma-Chuan Hou, Ling-Hao Duan, Liqi Qiu, Haoxiang Sun, Yun-Zhu Meng
article en

Abstract

Copper nanoparticles (Cu NPs) are effective catalysts for the electroreduction of CO<sub>2</sub> (ECO<sub>2</sub>R) to multicarbon products but suffer from insufficient selectivity, aggregation, and deactivation. To address these challenges, we developed an in situ encapsulation strategy that engineers Cu NPs in a metal-organic framework (MOF) host from a simple one-pot hydrothermal synthesis, creating a selective and robust CO<sub>2</sub>R catalyst. The key design is the introduction of Sn additives during synthesis, which later evolve into single atoms (SAs) that serve a dual function: modulating the growth of Cu NPs from 3.35 to 9 nm and acting as active sites for the conversion of CO<sub>2</sub> to CO. The locally generated CO then feeds adjacent Cu NPs, promoting subsequent C-C coupling via a tandem mechanism. The optimal catalyst, with a balanced Cu/Sn ratio, achieves a CO<sub>2</sub>-to-C<sub>2</sub>H<sub>4</sub> Faradaic efficiency (FE) of 64%. Combined theoretical simulations and in situ infrared spectroscopy further reveal that Sn SAs promote Cu NPs electron transfer, enriching the electron density at active sites. This stabilizes *CO intermediates and reduces the energy barriers for CO<sub>2</sub> activation and ensuing C-C coupling steps. This work presents a novel atomic- and nanoscale design strategy for advanced CO<sub>2</sub>RR catalysts.

Journal of the American Chemical SocietyVol. 148(7)
Shanghai Jiao Tong University (CN), Nankai University (CN), Xiamen Institute of Rare-earth Materials (CN), Advanced Energy Materials (United States) (US), Jiangxi Academy of Sciences (CN), Academy of Innovation Management (RU), Chemical Synthesis Lab (SG), University of Tennessee at Knoxville (US)
Affordable and clean energy
Openalex Percentile: Top 88%
CO2 Reduction Techniques and Catalysts
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