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Densely Packed, Ultra Small SnO Nanoparticles for Enhanced Activity and Selectivity in Electrochemical CO2 Reduction

Open access
Gu, Jun, Héroguel, Florent, Luterbacher, Jeremy, Hu, Xile·2018·Angewandte Chemie International Edition

Abstract

Controlling the selectivity in electrochemical CO 2 reduction is an unsolved challenge. While tin (Sn) has emerged as a promising non‐precious catalyst for CO 2 electroreduction, most Sn‐based catalysts produce formate as the major product, which is less desirable than CO in terms of separation and further use. Tin monoxide (SnO) nanoparticles supported on carbon black were synthesized and assembled and their application in CO 2 reduction was studied. Remarkably high selectivity and partial current densities for CO formation were obtained using these SnO nanoparticles compared to other Sn catalysts. The high activity is attributed to the ultra‐small size of the nanoparticles (2.6 nm), while the high selectivity is attributed to a local pH effect arising from the dense packing of nanoparticles in the conductive carbon black matrix.

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Metadata

Authors
Gu, J., Héroguel, F., Luterbacher, J., & Hu, X.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2018-02-14
Volume
57
Issue
11
Pages
2943-2947
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2792605006
Cited by
252
References
4
FWCI
7.97
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Densely Packed, Ultra Small SnO Nanoparticles for Enhanced Activity and Selectivity in Electrochemical CO2 Reduction. https://app.cochat.ai/papers/10.1002/anie.201713003
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Gu, J., Héroguel, F., Luterbacher, J., & Hu, X. (2018). Densely Packed, Ultra Small SnO Nanoparticles for Enhanced Activity and Selectivity in Electrochemical CO2 Reduction. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201713003

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.