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Cited by 531

The DOI matches its Crossref record; 260 of the 260 references it cites were found in a registry or an index.

Morphology-dependent nanocatalysts: Rod-shaped oxides

Li, Yong, Shen, Wenjie·2014·Chem. Soc. Rev.

Abstract

Nanocatalysts are characterised by the unique nanoscale properties that originate from their highly reduced dimensions. Extensive studies over the past few decades have demonstrated that the size and shape of a catalyst particle on the nanometre scale profoundly affect its reaction performance. In particular, controlling the catalyst particle morphology allows a selective exposure of a larger fraction of the reactive facets on which the active sites can be enriched and tuned. This desirable surface coordination of catalytically active atoms or domains substantially improves catalytic activity, selectivity, and stability. This phenomenon is called morphology-dependent nanocatalysts: catalyst particles with anisotropic morphologies on the nanometre scale greatly affect the reaction performance by selectively exposing the desired facets. In this review, we highlight important progress in morphology-dependent nanocatalysts based on the use of rod-shaped metal oxides with characteristic redox and acid-base features. The correlation between the catalytic properties and the exposed facets verifies the chemical nature of the morphology effect. Moreover, we provide an overview of the interactions between the rod-shaped oxides and the metal nanoparticles in metal-oxide catalyst systems, involving crystal-facet-selective deposition of metal particles onto different crystal facets in the oxide supports. A fundamental understanding of active sites in morphologically tuneable oxides enclosed by the desired reactive facets is expected to direct the development of highly efficient nanocatalysts.

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Crossref · 10.1039/c3cs60296f

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Metadata

Authors
Li, Y., & Shen, W.
Venue
Chem. Soc. Rev.
Published
2014
Volume
43
Issue
5
Pages
1543-1574
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W2021087773
Cited by
531
References
260
FWCI
1.83
Type
journal article
Language
en
Open access
closed

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

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