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Fe-doped ceria solids synthesized by the microemulsion method for CO oxidation reactions

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Laguna, O.H., Centeno, M.A., Boutonnet, M., Odriozola, J.A.·2011·Applied Catalysis B: Environmental

Abstract

Abstract A series of Ce–Fe mixed oxides as well as the pure oxides were synthesized by the microemulsions method. The solid solution formation was established for all the Fe-doped systems and only a hardly noticeable segregation of α-Fe 2 O 3 was appreciated for the solid with the maximum iron content (50 at.% Fe). The oxygen exchange is improved for all the Fe-doped systems; however the 10 at.% Fe appears as the optimal iron content for achieving the maximum oxygen vacancies concentration and the higher reducibility efficiency. The CO oxidation (TOX, PROX) is especially achieved for the solids with the lower iron contents but with a superior oxygen vacancies proportion. These Ce–Fe systems prepared from microemulsions are very attractive to be considered as supports for depositing active phases capable of enhancing oxygen exchange ability of the whole system, allowing higher CO oxidation abilities.

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Crossref · 10.1016/j.apcatb.2011.06.025

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Metadata

Authors
Laguna, O. H., Centeno, M. A., Boutonnet, M., & Odriozola, J. A.
Venue
Applied Catalysis B: Environmental
Publisher
Elsevier BV
Published
2011-08
Volume
106
Issue
3-4
Pages
621-629
ISSN
0926-3373 (ISSN-L)
OpenAlex
W2036729443
Cited by
183
References
0
FWCI
4.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fe-doped ceria solids synthesized by the microemulsion method for CO oxidation reactions. https://app.cochat.ai/papers/10.1016/j.apcatb.2011.06.025
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Laguna, O. H., Centeno, M. A., Boutonnet, M., & Odriozola, J. A. (2011). Fe-doped ceria solids synthesized by the microemulsion method for CO oxidation reactions. Applied Catalysis B: Environmental. https://doi.org/10.1016/j.apcatb.2011.06.025

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.