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Selective and High-rate CO Electroreduction by Metal-doped Covalent Triazine Frameworks: a Computational and Experimental Hybrid Approach

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Journal Chem Sci
Specialty Chemistry
Date 2023 Feb 6
PMID 36741519
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Abstract

The electrochemical CO reduction reaction (CORR) has attracted intensive attention as a technology to achieve a carbon-neutral society. The use of gas diffusion electrodes (GDEs) enables the realization of high-rate CORRs, which is one of the critical requirements for social implementation. Although both a high reaction rate and good selectivity are simultaneously required for electrocatalysts on GDEs, no systematic study of the relationship among active metal centers in electrocatalysts, reaction rate, and selectivity under high-rate CORR conditions has been reported. In the present study, we employed various metal-doped covalent triazine frameworks (M-CTFs) as platforms for CO reduction reaction (CORR) electrocatalysts on GDEs and systematically investigated them to deduce sophisticated design principles using a combined computational and experimental approach. The Ni-CTF showed both high selectivity (faradaic efficiency (FE) > 98% at -0.5 to -0.9 V reversible hydrogen electrode) and a high reaction rate (current density < -200 mA cm) for CO production. By contrast, the Sn-CTF exhibited selective formic acid production, and the FE and partial current density reached 85% and 150 mA cm, respectively. These results for the CORR activity and selectivity at high current density with respect to metal centers correspond well with predictions based on first-principles calculations. This work is the first demonstration of a clear relationship between the computational adsorption energy of intermediates depending on metal species and the experimental high-rate gaseous CORR.

Citing Articles

Quantitative Analysis and Manipulation of Alkali Metal Cations at the Cathode Surface in Membrane Electrode Assembly Electrolyzers for CO Reduction Reactions.

Kato S, Ito S, Nakahata S, Kurihara R, Harada T, Nakanishi S ChemSusChem. 2024; 17(22):e202401013.

PMID: 38899491 PMC: 11587695. DOI: 10.1002/cssc.202401013.

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