Parameterization and quantification of two key operando physio-chemical descriptors for water-assisted electro-catalytic organic oxidation
Electro-selective-oxidation using water as a green oxygen source demonstrates promising potential towards efficient and sustainable chemical upgrading. However, surface micro-kinetics regarding co-adsorption and reaction between organic and oxygen intermediates remain unclear. Here we systematically...
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Veröffentlicht in: | Nature communications 2024-11, Vol.15 (1), p.10145-14, Article 10145 |
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Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Electro-selective-oxidation using water as a green oxygen source demonstrates promising potential towards efficient and sustainable chemical upgrading. However, surface micro-kinetics regarding co-adsorption and reaction between organic and oxygen intermediates remain unclear. Here we systematically study the electro-oxidation of aldehydes, alcohols, and amines on Co/Ni-oxyhydroxides with multiple characterizations. Utilizing Fourier transformed alternating current voltammetry (FTacV) measurements, we show the identification and quantification of two key
operando
parameters (Δ
I
harmonics
/
I
OER
and Δ
V
harmonics
) that can be fundamentally linked to the altered surface coverage (
Δ
θ
OH
*
/
θ
OH
*
OER
) and the changes in adsorption energy of vital oxygenated intermediates (
Δ
G
OH
*
EOOR
−
Δ
G
OH
*
OER
), under the influence of organic adsorption/oxidation. Mechanistic analysis based on these descriptors reveals distinct optimal oxyhydroxide surface states for each organics, and elucidates the critical catalyst design principles: balancing organic and M
3+δ
−OH* coverages and fine-tuning Δ
G
for key elementary steps, e.g., via precise modulation of chemical compositions, crystallinity, defects, electronic structures, and/or surface bimolecular interactions.
Water-assisted electro-catalytic selective oxidation is promising for sustainable production of value-added chemicals. Here the authors quantify two key physio-chemical parameters for efficient mechanistic investigation and rational catalyst design. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-024-54318-7 |