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Catalyst Parameters Determining Activity and Selectivity of Supported Gold Nanoparticles for the Aerobic Oxidation of Alcohols: The Molecular Reaction Mechanism

Abad, Alberto, Corma, Avelino, García, Hermenegildo·2008·Chemistry – A European Journal

Abstract

As previously reported for for solventless reactions, gold nanoparticles supported on ceria are also excellent general heterogeneous catalysts for the aerobic oxidations of alcohols in organic solvents. Among organic solvents it was found that toluene is a convenient one. A systematic study on the influence of the particle size and gold content on the support has established that the activity correlates linearly with the total number of external gold atoms, and with the surface coverage of the support. Amongst catalysts with different supports, but similar gold particle size and content, gold on ceria exhibits the highest activity. By means of a kinetic study (influence of σ+ parameter, kinetic isotopic effect, temperature, alcohol concentration and oxygen pressure) a mechanistic proposal consisting of the formation of metal–alcoholate, β‐hydride shift from carbon to metal and MH oxidation has been proposed that explains all experimental results.

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Metadata

Authors
Abad, A., Corma, A., & García, H.
Venue
Chemistry – A European Journal
Publisher
Wiley
Published
2007-12-17
Volume
14
Issue
1
Pages
212-222
ISSN
  • 0947-6539 (ISSN-L)
  • 1521-3765
OpenAlex
W1993570183
Cited by
424
References
0
FWCI
15.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Catalyst Parameters Determining Activity and Selectivity of Supported Gold Nanoparticles for the Aerobic Oxidation of Alcohols: The Molecular Reaction Mechanism. https://app.cochat.ai/papers/10.1002/chem.200701263
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Abad, A., Corma, A., & García, H. (2008). Catalyst Parameters Determining Activity and Selectivity of Supported Gold Nanoparticles for the Aerobic Oxidation of Alcohols: The Molecular Reaction Mechanism. Chemistry – A European Journal. https://doi.org/10.1002/chem.200701263

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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.