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Cited by 498

The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.

Self-Nanoemulsifying Drug Delivery Systems: Formulation Insights, Applications and Advances

Date, Abhijit A, Desai, Neha, Dixit, Rahul, Nagarsenker, Mangal·2010·Nanomedicine

Abstract

There has been a resurgence of interest in nanoemulsions for various pharmaceutical applications since low-energy emulsification methods, such as spontaneous or self-nanoemulsification, have been described. Self-nanoemulsifying drug delivery systems (SNEDDS) are anhydrous homogenous liquid mixtures consisting of oil, surfactant, drug and coemulsifier or solubilizer, which spontaneously form oil-in-water nanoemulsion of approximately 200 nm or less in size upon dilution with water under gentle stirring. The physicochemical properties, drug solubilization capacity and physiological fate considerably govern the selection of the SNEDDS components. The composition of the SNEDDS can be optimized with the help of phase diagrams, whereas statistical experimental design can be used to further optimize SNEDDS. SNEDDS can improve oral bioavailability of hydrophobic drugs by several mechanisms. The conversion of liquid SNEDDS to solid oral dosage forms or solid SNEDDS has also been achieved by researchers. Solid SNEDDS can offer better patient compliance and minimize problems associated with capsules filled with liquid SNEDDS.

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Metadata

Authors
Date, A. A., Desai, N., Dixit, R., & Nagarsenker, M.
Venue
Nanomedicine
Published
2010-12
Volume
5
Issue
10
Pages
1595-1616
ISSN
  • 1743-5889 (ISSN-L)
  • 1748-6963
OpenAlex
W2166547808
Cited by
498
References
86
FWCI
6.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Self-Nanoemulsifying Drug Delivery Systems: Formulation Insights, Applications and Advances. https://app.cochat.ai/papers/10.2217/nnm.10.126
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Date, A. A., Desai, N., Dixit, R., & Nagarsenker, M. (2010). Self-Nanoemulsifying Drug Delivery Systems: Formulation Insights, Applications and Advances. Nanomedicine. https://doi.org/10.2217/nnm.10.126

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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.