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Cited by 268

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Enhancing CO2 Electroreduction to Ethanol on Copper–Silver Composites by Opening an Alternative Catalytic Pathway

Open access
Ting, Louisa Rui Lin, Piqué, Oriol, Lim, Si Ying, Tanhaei, Mohammad, Calle-Vallejo, Federico, Yeo, Boon Siang·2020·ACS Catalysis

Abstract

A fundamental question in the electrochemical CO 2 reduction reaction (CO 2 RR) is how to rationally control the catalytic selectivity. For instance, adding a CO-selective cocatalyst like Ag to Cu shifts the latter’s CO 2 RR selectivity toward C 2 products, but the underlying cause of the change is unclear. Herein, we show that, during CO 2 RR, the abundant CO availability at Cu−Ag boundaries facilitates C-C coupling on Cu to selectively generate ethanol through an otherwise closed pathway. Oxide-derived Cu nanowires mixed with 20 nm Ag particles (Cu:Ag mole ratio of 1:20) catalyzed CO 2 reduction to ethanol with a maximum current density of −4.1 mA/cm 2 and ethanol/ethylene Faradaic efficiency ratio of 1.1 at −1.1 V vs RHE. These figures of merit are, respectively, 5 and 3 times higher than those for pure oxide-derived Cu nanowires. CO 2 RR on CuAg composite catalysts with different Ag:Cu ratios and Ag particle sizes reveals that ethanol production scales with the amount of CO evolved from Ag sites and the abundance of Cu–Ag boundaries, and, very interestingly, without significant modifications to ethylene formation. Computational modeling shows selective ethanol generation via Langmuir–Hinshelwood *CO + *CH x ( x = 1, 2) coupling at Cu–Ag boundaries and that the formation of energy-intensive CO dimers is circumvented.

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Crossref · 10.1021/acscatal.9b05319

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Metadata

Authors
Ting, L. R. L., Piqué, O., Lim, S. Y., Tanhaei, M., Calle-Vallejo, F., & Yeo, B. S.
Venue
ACS Catalysis
Published
2020-03-16
Volume
10
Issue
7
Pages
4059-4069
ISSN
2155-5435 (ISSN-L)
OpenAlex
W3011024755
Cited by
268
References
59
FWCI
6.65
Type
journal article
Language
en
Open access
green

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