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Cited by 2,192

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Gold nanoparticles: Optical properties and implementations in cancer diagnosis and photothermal therapy

Open access
Huang, Xiaohua, El-Sayed, Mostafa A.·2010·Journal of Advanced Research

Abstract

Currently a popular area in nanomedicine is the implementation of plasmonic gold nanoparticles for cancer diagnosis and photothermal therapy, attributed to the intriguing optical properties of the nanoparticles. The surface plasmon resonance, a unique phenomenon to plasmonic (noble metal) nanoparticles leads to strong electromagnetic fields on the particle surface and consequently enhances all the radiative properties such as absorption and scattering. Additionally, the strongly absorbed light is converted to heat quickly via a series of nonradiative processes. In this review, we discuss these important optical and photothermal properties of gold nanoparticles in different shapes and structures and address their recent applications for cancer imaging, spectroscopic detection and photothermal therapy.

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Crossref · 10.1016/j.jare.2010.02.002

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Metadata

Authors
Huang, X., & El-Sayed, M. A.
Venue
Journal of Advanced Research
Publisher
Elsevier BV
Published
2010-01
Volume
1
Issue
1
Pages
13-28
ISSN
  • 2090-1224 (ISSN-L)
  • 2090-1232
OpenAlex
W2077863403
Cited by
2,192
References
3
FWCI
15.11
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Gold nanoparticles: Optical properties and implementations in cancer diagnosis and photothermal therapy. https://app.cochat.ai/papers/10.1016/j.jare.2010.02.002
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Huang, X., & El-Sayed, M. A. (2010). Gold nanoparticles: Optical properties and implementations in cancer diagnosis and photothermal therapy. Journal of Advanced Research. https://doi.org/10.1016/j.jare.2010.02.002

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.