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Syntheses and Applications of Noble-Metal-free CeO2-Based Mixed-Oxide Nanocatalysts

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Yang, Weiting, Wang, Xiao, Song, Shuyan, Zhang, Hongjie·2019·Chem

Abstract

Summary CeO2-based mixed oxides as non-noble-metal catalysts have received tremendous attention because of their great importance for both fundamental studies and catalytic applications. Compared with single-component samples, the interface in the mixed oxides could largely optimize the crucial steps for a heterogeneous catalytic reaction, such as the adsorption rate of substrate molecules, the intermediate states, and the desorption rate of the products. This review summarizes the recent development in the syntheses of nanostructured noble-metal-free CeO2-based mixed-oxide catalysts, as well as their catalytic applications in some model reactions, such as CO oxidation, NOx reduction, steam reforming, water-gas shift reaction, photocatalytic reaction, and so on. The synthetic strategy, component, and structure effect for their enhanced catalytic performances are the focus of our attention. Finally, we conclude this review with remarks on some challenges and perspectives in this emerging area of research.

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Crossref · 10.1016/j.chempr.2019.04.009

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Authors
Yang, W., Wang, X., Song, S., & Zhang, H.
Venue
Chem
Publisher
Elsevier BV
Published
2019-07
Volume
5
Issue
7
Pages
1743-1774
ISSN
2451-9294 (ISSN-L)
OpenAlex
W2944106319
Cited by
205
References
0
FWCI
7.64
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Syntheses and Applications of Noble-Metal-free CeO2-Based Mixed-Oxide Nanocatalysts. https://app.cochat.ai/papers/10.1016/j.chempr.2019.04.009
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Yang, W., Wang, X., Song, S., & Zhang, H. (2019). Syntheses and Applications of Noble-Metal-free CeO2-Based Mixed-Oxide Nanocatalysts. Chem. https://doi.org/10.1016/j.chempr.2019.04.009

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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.