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Gold Nanoparticles for Photothermal Cancer Therapy
Open accessAbstract
Gold is a multifunctional material that has been utilized in medicinal applications for centuries because it has been recognized for its bacteriostatic, anticorrosive, and antioxidative properties. Modern medicine makes routine, conventional use of gold and has even developed more advanced applications by taking advantage of its ability to be manufactured at the nanoscale and functionalized because of the presence of thiol and amine groups, allowing for the conjugation of various functional groups such as targeted antibodies or drug products. It has been shown that colloidal gold exhibits localized plasmon surface resonance (LPSR), meaning that gold nanoparticles can absorb light at specific wavelengths, resulting in photoacoustic and photothermal properties, making them potentially useful for hyperthermic cancer treatments and medical imaging applications. Modifying gold nanoparticle shape and size can change their LPSR photochemical activities, thereby also altering their photothermal and photoacoustic properties, allowing for the utilization of different wavelengths of light, such as light in the near-infrared spectrum. By manufacturing gold in a nanoscale format, it is possible to passively distribute the material through the body, where it can localize in tumors (which are characterized by leaky blood vessels) and be safely excreted through the urinary system. In this paper, we give a quick review of the structure, applications, recent advancements, and potential future directions for the utilization of gold nanoparticles in cancer therapeutics.
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“(<8 nm) are capable of passing through the renal filtration system whereas larger GNPs (>10 nm) are more likely to remain in the blood stream, and thus accumulate in the liver and kidney (Bartneck et al., 2012; Zhang et al., 2012; Blanco et al., 2015).”
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Metadata
- Authors
- Vines, J. B., Yoon, J.-H., Ryu, N.-E., Lim, D.-J., & Park, H.
- Venue
- Frontiers in Chemistry
- Publisher
- Frontiers Media SA
- Published
- 2019-04-05
- Volume
- 7
- Pages
- 167-167
- ISSN
- 2296-2646 (ISSN-L)
- OpenAlex
- W2934897782
- Cited by
- 906
- References
- 149
- FWCI
- 34.91
- Type
- journal article
- Language
- en
- Open access
- gold
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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.
