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Cited by 499

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Synthesis, Structure, Properties, and Applications of Bimetallic Nanoparticles of Noble Metals

Open access
Loza, Kateryna, Heggen, Marc, Epple, Matthias·2020·Advanced Functional Materials

Abstract

Bimetallic nanoparticles of noble metals are of high interest in imaging, biomedical devices, including nanomedicine, and heterogeneous catalysis. Synthesis, properties, characterization, biological properties, and practical applicability of nanoparticles on the basis of platinum group metals and the coin metals Ag and Au are discussed, also in comparison with the corresponding monometallic nanoparticles. In addition to the parameters that are required to characterize monometallic nanoparticles (mainly size, size distribution, shape, crystallographic nature, surface functionalization, charge), further information is required for a full characterization of bimetallic nanoparticles. This concerns the overall elemental composition of a bimetallic nanoparticle population (ratio of the two metals) and the internal distribution of the elements in individual nanoparticles (e.g., the presence of homogeneous alloys, core–shell systems, and possible intermediate stages). It is also important to ensure that all particles are identical in terms of elemental composition, that is, that the homogeneity of the particle population is given. Macroscopic properties like light absorption, antibacterial effects, and catalytic activity depend on these properties. The currently available methods for a full characterization of bimetallic nanoparticles are discussed, and future developments in this field are outlined.

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Crossref · 10.1002/adfm.201909260

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Metadata

Authors
Loza, K., Heggen, M., & Epple, M.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2020-03-05
Volume
30
Issue
21
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W3009654721
Cited by
499
References
13
FWCI
45.16
Type
journal article
Language
en
Open access
hybrid

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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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