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InTech
Part of book or chapter of book . 2022
Data sources: InTech
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5772/intech...
Part of book or chapter of book . 2022 . Peer-reviewed
License: CC BY
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Solid Lipid Nanoparticles (SLN)

Authors: Rosa-Alejandra, Hernández-Esquivel,; Gabriela, Navarro-Tovar,; Elvia, Zárate-Hernández,; Patricia, Aguirre-Bañuelos,;

Solid Lipid Nanoparticles (SLN)

Abstract

Solid lipid nanoparticles (SLN) are nanocarriers in the 10–1000 nm range of a solid core, containing both hydrophilic and hydrophobic active pharmaceutical ingredients. SLNs are composed of well-tolerated and biodegradable solid lipids such as mono-, di-, and triglycerides, fatty acids, waxes, and steroids, as well as lipophilic and hydrophilic emulsifying agents. This composition of biocompatible molecules makes SLNs one of the most successful options for the administration of drugs with different routes of administration. To determine its size, morphology, and surface charge, laser diffraction spectroscopy techniques, dynamic light scattering, coulter counter, scanning ion occlusion sensing, and advanced microscopy techniques such as scanning electron microscopy, transmission electron microscopy, and atomic force microscopy are some of the most widely used methods. Surface morphology and length can be measured by electron microscopy, while dynamic light scattering and photon correlation spectroscopy determine particle size and size distribution. In addition, colloidal stability can be determined by zeta potential analysis, indirect measurement of surface charge, and differential scanning calorimetry to characterize particles and drug interactions.

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    21
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Average
Top 10%
Green
hybrid
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