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Current Drug Delivery

Editor-in-Chief

ISSN (Print): 1567-2018
ISSN (Online): 1875-5704

Cyclosporine A Loaded Solid Lipid Nanoparticles: Optimization of Formulation, Process Variable and Characterization

Author(s): Krutika K. Sawant, Jigisha K. Varia and Shamsunder S. Dodiya

Volume 5 , Issue 1 , 2008

Page: [64 - 69] Pages: 6

DOI: 10.2174/156720108783331069

Price: $65

Abstract

Solid lipid nanoparticles (SLNs) loaded with Cyclosporine A using glyceryl monostearate (GMS) and glyceryl palmitostearate (GPS) as lipid matrices were prepared by melt-homogenization using high-pressure homogenizer. Various process parameters such as homogenization pressure, homogenization cycles and formulation parameters such as ratio of drug: lipid, emulsifier: lipid and emulsifier: co-emulsifier were optimized using particle size and entrapment efficiencies as the dependent variables. The mean particle size of optimized batches of the GMS SLN and GPS SLN were found to be 131 nm and 158 nm and their entrapment efficiencies were 83 ± 3.08% and 97 ± 2.59% respectively. To improve the handling processing and stability of the prepared SLNs, the SLN dispersions were spray dried and its effect on size and reconstitution parameters were evaluated. The spray drying of SLNs did not significantly alter the size of SLNs and they exhibited good redispersibility. Solid state studies such as Infra Red Spectroscopy and Differential Scanning Calorimetry indicated absence of any chemical interaction between Cyclosporine A and the lipids. Scanning Electron Microscopy of optimized formulations showed spherical shape with smooth and non porous surface. In vitro release studies revealed that GMS based SLNs released the drug faster (41.12% in 20 hours) than GPS SLNs (7.958% in 20 hours). Release of Cyclosporine A from GMS SLN followed Higuchi equation better than first order while release from GPS SLN followed first order better than Higuchi model.

Keywords: Solid lipid nanoparticles, glyceryl monostearate, glyceryl palmitostearate, cyclosporine A, formulation, optimization, infra-red, DSC, In vitro release study


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