The DOI matches its Crossref record; 194 of the 194 references it cites were found in a registry or an index.
Fabrication of gold nanoparticles for targeted therapy in pancreatic cancer
Open accessAbstract
The targeted delivery of a drug should result in enhanced therapeutic efficacy with low to minimal side effects. This is a widely accepted concept, but limited in application due to lack of available technologies and process of validation. Biomedical nanotechnology can play an important role in this respect. Biomedical nanotechnology is a burgeoning field with myriads of opportunities and possibilities for advancing medical science and disease treatment. Cancer nanotechnology (1–100 nm size range) is expected to change the very foundations of cancer treatment, diagnosis and detection. Nanomaterials, especially gold nanoparticles (AuNPs) have unique physicochemical properties, such as ultra small size, large surface area to mass ratio, and high surface reactivity, presence of surface plasmon resonance (SPR) bands, biocompatibility and ease of surface functionalization. In this review, we will discuss how the unique physico-chemical properties of gold nanoparticles may be utilized for targeted drug delivery in pancreatic cancer leading to increased efficacy of traditional chemotherapeutics.
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Crossing the blood-brain barrier with nanoparticles
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Metadata
- Authors
- Patra, C. R., Bhattacharya, R., Mukhopadhyay, D., & Mukherjee, P.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 62
- Issue
- 3
- Pages
- 346-361
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W2059999481
- Cited by
- 458
- References
- 194
- FWCI
- 0.92
- Type
- journal article
- Language
- en
- Open access
- green
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- Patra, C. R., Bhattacharya, R., Mukhopadhyay, D., & Mukherjee, P. (2010). Fabrication of gold nanoparticles for targeted therapy in pancreatic cancer. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2009.11.007
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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.
