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Cited by 1,924

The DOI matches its Crossref record; 139 of the 139 references it cites were found in a registry or an index.

Photophysical, Photochemical and Photocatalytic Aspects of Metal Nanoparticles

Kamat, Prashant V.·2002·The Journal of Physical Chemistry B

Abstract

Unique electronic and chemical properties of metal nanoparticles have drawn the attention of chemists, physicists, biologists, and engineers who wish to use them for the development of new generation nanodevices. Metal nanoparticles such as gold and silver show noticeable photoactivity under UV−visible irradiation as is evident from the photoinduced fusion and fragmentation processes. Binding a photoactive molecule (e.g., pyrene) to metal nanoparticle enhances the photochemical activity and renders the organic−inorganic hybrid nanoassemblies suitable for light-harvesting and optoelectronic applications. The nature of charge-transfer interaction of fluorophore with gold surface dictates the pathways with which the excited-state deactivates. Obtaining insight into energy and electron-transfer processes is important to improve the charge separation efficiencies in metal−fluorophore nanoassemblies and photocatalytic activity of metal−semiconductor composites.

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Metadata

Authors
Kamat, P. V.
Venue
The Journal of Physical Chemistry B
Published
2002-07-18
Volume
106
Issue
32
Pages
7729-7744
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W1555450157
Cited by
1,924
References
139
FWCI
44.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Photophysical, Photochemical and Photocatalytic Aspects of Metal Nanoparticles. https://app.cochat.ai/papers/10.1021/jp0209289
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Kamat, P. V. (2002). Photophysical, Photochemical and Photocatalytic Aspects of Metal Nanoparticles. The Journal of Physical Chemistry B. https://doi.org/10.1021/jp0209289

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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.