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Cited by 1,503

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Gold Nanoparticles: Interesting Optical Properties and Recent Applications in Cancer Diagnostics and Therapy

Huang, Xiaohua, Jain, Prashant K, El-Sayed, Ivan H, El-Sayed, Mostafa A·2007·Nanomedicine

Abstract

Recent years have seen tremendous progress in the design and study of nanomaterials geared towards biological and biomedical applications, most notable among these being the noble metal nanoparticles. In this review, we outline the surface-plasmon resonance-enhanced optical properties of colloidal gold nanoparticles directed towards recent biomedical applications with an emphasis on cancer diagnostics and therapeutics. Methods of molecular-specific diagnostics/detection of cancer, including strongly enhanced surface plasmon resonance light-scattering, surface-enhanced emission of gold nanorods and surface-enhanced Raman scattering, are described. We also discuss the plasmonic photothermal therapy of cancer achieved by using the strongly enhanced surface-plasmon resonance absorption of gold nanospheres and nanorods.

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Metadata

Authors
Huang, X., Jain, P. K., El-Sayed, I. H., & El-Sayed, M. A.
Venue
Nanomedicine
Published
2007-10
Volume
2
Issue
5
Pages
681-693
ISSN
  • 1743-5889 (ISSN-L)
  • 1748-6963
OpenAlex
W2099562625
Cited by
1,503
References
4
FWCI
27.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Gold Nanoparticles: Interesting Optical Properties and Recent Applications in Cancer Diagnostics and Therapy. https://app.cochat.ai/papers/10.2217/17435889.2.5.681
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Huang, X., Jain, P. K., El-Sayed, I. H., & El-Sayed, M. A. (2007). Gold Nanoparticles: Interesting Optical Properties and Recent Applications in Cancer Diagnostics and Therapy. Nanomedicine. https://doi.org/10.2217/17435889.2.5.681

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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.