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Cited by 394

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Lipid Nanoparticles with a Solid Matrix (SLN®, NLC®, LDC®) for Oral Drug Delivery

Muchow, Marc, Maincent, Philippe, Müller, Rainer H.·2008·Drug Development and Industrial Pharmacy

Abstract

Solid lipid nanoparticles (SLN), nanostructured lipid carriers (NLC), and lipid-drug conjugates (LDC), commonly produced by high-pressure homogenization, are interesting vectors for oral delivery of lipophilic and, to a certain extent, hydrophilic substances. Their production can be done without the use of organic solvents. Techniques to make them a physically stable delivery system have been developed. Scaling up of the production process from lab-size to large-scale dimensions using high-pressure homogenization can be easily achieved by using a different type of homogenizer. The machines used for large-scale production often yield an even better product quality than the lab-scale types. This review article covers the methods of production, characterization, mechanisms of oral bioavailability enhancement, scale-up, final oral dosage forms, and regulatory aspects of lipid nanoparticles for oral drug delivery. It focuses mainly on high-pressure homogenization production methods.

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Metadata

Authors
Muchow, M., Maincent, P., & Müller, R. H.
Venue
Drug Development and Industrial Pharmacy
Published
2008-01
Volume
34
Issue
12
Pages
1394-1405
ISSN
  • 0363-9045 (ISSN-L)
  • 1520-5762
OpenAlex
W2160651357
Cited by
394
References
1
FWCI
7.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Lipid Nanoparticles with a Solid Matrix (SLN®, NLC®, LDC®) for Oral Drug Delivery. https://app.cochat.ai/papers/10.1080/03639040802130061
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Muchow, M., Maincent, P., & Müller, R. H. (2008). Lipid Nanoparticles with a Solid Matrix (SLN®, NLC®, LDC®) for Oral Drug Delivery. Drug Development and Industrial Pharmacy. https://doi.org/10.1080/03639040802130061

Data sources

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.