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Solid lipid nanoparticles optimized by 22 factorial design for skin administration: Cytotoxicity in NIH3T3 fibroblasts
[Display omitted] •Stearic acid SLN were optimized by a 22 full factorial design for skin administration.•Stearic acid SLN were of ca. 200 nm mean size, with 0.200 of PdI and ZP values of |26 mV|.•Stearic acid SLN were non-toxic to NIH3T3 fibroblasts. The present study focuses on the characterizatio...
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Published in: | Colloids and surfaces, B, Biointerfaces B, Biointerfaces, 2018-11, Vol.171, p.501-505 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | [Display omitted]
•Stearic acid SLN were optimized by a 22 full factorial design for skin administration.•Stearic acid SLN were of ca. 200 nm mean size, with 0.200 of PdI and ZP values of |26 mV|.•Stearic acid SLN were non-toxic to NIH3T3 fibroblasts.
The present study focuses on the characterization of the cytotoxic profile on NIH3T3 mouse embryonic fibroblasts of solid lipid nanoparticles (SLN) optimized by a 22 full factorial design for skin administration. To build up the surface response charts, a design of experiments (DoE) based on 2 independent variables was used to obtain an optimized formulation. The effect of the composition of lipid and water phases on the mean particle size (z-AVE), polydispersity index (PdI) and zeta potential (ZP) was studied. The developed formulations were composed of 5.0% of lipid phase (stearic acid (SA), behenic alcohol (BA) or a blend of SA:BA (1:1)) and 4.7% of surfactants (soybean phosphatidylcholine and poloxamer 407). In vitro cytotoxicity using NIH3T3 fibroblasts was performed by MTT reduction assay. This factorial design study has proven to be a useful tool in optimizing SLN (z-AVE ∼ 200 nm), which were shown to be non-cytotoxic. The present results highlight the benefit of applying statistical designs in the preparation and optimization of SLN formulations. |
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ISSN: | 0927-7765 1873-4367 |
DOI: | 10.1016/j.colsurfb.2018.07.065 |