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Identification of active catalysts for the acceptorless dehydrogenation of alcohols to carbonyls

Chemistry

Identification of active catalysts for the acceptorless dehydrogenation of alcohols to carbonyls

T. Wang, J. Sha, et al.

This research conducted by Tao Wang, Jin Sha, Maarten Sabbe, Philippe Sautet, Marc Pera-Titus, and Carine Michel explores the innovative concept of acceptorless dehydrogenation of alcohols, validating predictive models and identifying promising catalysts through extensive screening. Discover insights into improving alcohol valorization and unveiling effective catalysts like β-Mo₂N and γ-Mo₂N.

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Abstract
Acceptorless dehydrogenation into carbonyls and molecular hydrogen is an attractive strategy to valorize (biobased) alcohols. Using 2-octanol dehydrogenation as benchmark reaction in a continuous reactor, a library of metal-supported catalysts is tested to validate the predictive level of catalytic activity for combined DFT and micro-kinetic modeling. Based on a series of transition metals, scaling relations are determined as a function of two descriptors, i.e. the surface binding energies of atomic carbon and oxygen. Then, a volcano-shape relation based on both descriptors is derived, paving the way to further optimization of active catalysts. Evaluation of 294 diluted alloys but also a series of carbides and nitrides with the volcano map identified 12 promising candidates with potentially improved activity for alcohol dehydrogenation, which provides useful guidance for experimental catalyst design. Further screening identifies β-Mo₂N and γ-Mo₂N exposing mostly (001) and (100) facets as potential candidates for alcohol dehydrogenation.
Publisher
Nature Communications
Published On
Aug 24, 2021
Authors
Tao Wang, Jin Sha, Maarten Sabbe, Philippe Sautet, Marc Pera-Titus, Carine Michel
Tags
dehydrogenation
alcohol valorization
carbonyls
catalysts
DFT modeling
scaling relations
metal-supported
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