The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index.
Nanostructured Lipid Carriers for Delivery of Chemotherapeutics: A Review
Open accessAbstract
The efficacy of current standard chemotherapy is suboptimal due to the poor solubility and short half-lives of chemotherapeutic agents, as well as their high toxicity and lack of specificity which may result in severe side effects, noncompliance and patient inconvenience. The application of nanotechnology has revolutionized the pharmaceutical industry and attracted increasing attention as a significant means for optimizing the delivery of chemotherapeutic agents and enhancing their efficiency and safety profiles. Nanostructured lipid carriers (NLCs) are lipid-based formulations that have been broadly studied as drug delivery systems. They have a solid matrix at room temperature and are considered superior to many other traditional lipid-based nanocarriers such as nanoemulsions, liposomes and solid lipid nanoparticles (SLNs) due to their enhanced physical stability, improved drug loading capacity, and biocompatibility. This review focuses on the latest advances in the use of NLCs as drug delivery systems and their preparation and characterization techniques with special emphasis on their applications as delivery systems for chemotherapeutic agents and different strategies for their use in tumor targeting.
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Costa, C. P., Moreira, J. N., Sousa Lobo, J. M., & Silva, A. C. (2021) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2021.02.012 · Cited by 303
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Metadata
- Authors
- Haider, M., Abdin, S. M., Kamal, L., & Orive, G.
- Venue
- Pharmaceutics
- Publisher
- MDPI AG
- Published
- 2020-03-23
- Volume
- 12
- Issue
- 3
- Pages
- 288
- ISSN
- 1999-4923 (ISSN-L)
- OpenAlex
- W3012817514
- Cited by
- 451
- References
- 135
- FWCI
- 21.09
- Type
- journal article
- Language
- en
- Open access
- gold
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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.