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Solid Lipid Nanoparticles and Nanostructured Lipid Carriers: Structure, Preparation and Application

Open access
Naseri, Neda, Valizadeh, Hadi, Zakeri-Milani, Parvin·2015·Advanced Pharmaceutical Bulletin

Abstract

Lipid nanoparticles (LNPs) have attracted special interest during last few decades. Solid lipid nanoparticles (SLNs) and nanostructured lipid carriers (NLCs) are two major types of Lipid-based nanoparticles. SLNs were developed to overcome the limitations of other colloidal carriers, such as emulsions, liposomes and polymeric nanoparticles because they have advantages like good release profile and targeted drug delivery with excellent physical stability. In the next generation of the lipid nanoparticle, NLCs are modified SLNs which improve the stability and capacity loading. Three structural models of NLCs have been proposed. These LNPs have potential applications in drug delivery field, research, cosmetics, clinical medicine, etc. This article focuses on features, structure and innovation of LNPs and presents a wide discussion about preparation methods, advantages, disadvantages and applications of LNPs by focusing on SLNs and NLCs.

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Metadata

Authors
Naseri, N., Valizadeh, H., & Zakeri-Milani, P.
Venue
Advanced Pharmaceutical Bulletin
Published
2015-09-19
Volume
5
Issue
3
Pages
305-313
ISSN
  • 2228-5881 (ISSN-L)
  • 2251-7308
OpenAlex
W2265120954
Cited by
1,116
References
0
FWCI
19.84
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Solid Lipid Nanoparticles and Nanostructured Lipid Carriers: Structure, Preparation and Application. https://app.cochat.ai/papers/10.15171/apb.2015.043
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Naseri, N., Valizadeh, H., & Zakeri-Milani, P. (2015). Solid Lipid Nanoparticles and Nanostructured Lipid Carriers: Structure, Preparation and Application. Advanced Pharmaceutical Bulletin. https://doi.org/10.15171/apb.2015.043

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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.