Development and Statistical Optimization of Solid Lipid Nanoparticles of Simvastatin by Using 23 Full-Factorial Design
作者： Mayank Shah , Kamla Pathak
DOI: 10.1208/S12249-010-9414-Z
关键词: Factorial experiment 、 Pareto chart 、 Glycerol monostearate 、 Poloxamer 、 Design–Expert 、 Recrystallization (geology) 、 Particle size 、 Solid lipid nanoparticle 、 Nanotechnology 、 Mathematics 、 Chromatography
摘要: The objective of this study was to develop solid lipid nanoparticles (SLNs) simvastatin and optimize it for independent variables (amount glycerol monostearate, concentration poloxamer, volume isopropyl alcohol) in order achieve desired particle size with maximum percent entrapment efficiency (% EE) cumulative drug release CDR). To our goal, eight formulations (F1–F8) SLNs were prepared by solvent injection technique optimized 23 full-factorial design. design validated extra checkpoint formulation (F9), the possible interactions between studied. responses analyzed using Design Expert 7.1.6. (Stat-Ease, Inc, USA), analytical tools software used draw Pareto charts response surface plots. On basis analysis, F10 a desirability factor 0.611 selected as evaluated parameters. Optimized showed 258.5 nm, % EE 75.81%, 82.67% CDR after 55 h. kinetics best fitted Higuchi model, recrystallization index found be 65.51%.
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