ABSTRACT Solid lipid nanoparticle (SLN) systems were developed using response surface methodology... more ABSTRACT Solid lipid nanoparticle (SLN) systems were developed using response surface methodology to optimize the mean particle size, α-tocopherol recovery rate and zeta potential of SLNs containing α-tocopherol. The optimization of α-tocopherol-loaded SLNs was characterized by X-ray diffraction analysis, differential scanning calorimetry, and the analysis of morphology and physical stability. The optimal conditions for an α-tocopherol-loaded SLN preparation were a particle size, α-tocopherol recovery rate and zeta potential of 214.5 nm, 75.4% and −41.9 mV, respectively; this preparation was stable during storage at 6 °C for 21 days. Furthermore, Compritol® 888 CG ATO changed its crystalline nature from the β′ polymorphic form in the pure formulation to the α and β′ polymorphic forms in SLNs.
ABSTRACT Solid lipid nanoparticle (SLN) systems were developed using response surface methodology... more ABSTRACT Solid lipid nanoparticle (SLN) systems were developed using response surface methodology to optimize the mean particle size, α-tocopherol recovery rate and zeta potential of SLNs containing α-tocopherol. The optimization of α-tocopherol-loaded SLNs was characterized by X-ray diffraction analysis, differential scanning calorimetry, and the analysis of morphology and physical stability. The optimal conditions for an α-tocopherol-loaded SLN preparation were a particle size, α-tocopherol recovery rate and zeta potential of 214.5 nm, 75.4% and −41.9 mV, respectively; this preparation was stable during storage at 6 °C for 21 days. Furthermore, Compritol® 888 CG ATO changed its crystalline nature from the β′ polymorphic form in the pure formulation to the α and β′ polymorphic forms in SLNs.
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Papers by Renata Lino