Background: Response surface methodology is a unique tool for the optimization of
Solid lipid Nanoparticles and Nanostructured lipid carriers by developing the relationship between
dependent and independent variables and exploring their interactions.
Methods: Central Composite Design and Box Benkhen Design were used to develop optimized formulations
of Gefitinib [GEF] Solid Lipid Nanoparticles [SLN] and Nanostructured Lipidic Carriers
[NLC]. In the design matrix, the independent variables chosen were the amount of Solid Lipid,
Liquid Lipid, and Surfactant and the dependent variables were Particle Size and Poly Dispersity Index.
Results: The GEF-SLN under optimized conditions gave rise to Particle size (187.9 nm ± 1.15),
PDI (0.318 ± 0.006), %EE (95.38%±0.14), Zeta Potential (-8.75 mv ±0.18) and GEF-NLC under
optimized conditions gave rise to Particle size (188.6 nm± 1.12), PDI (0.395± 0.004), %EE
(97.46%± 0.33), Zeta Potential (-5.72 mv± 0.04) respectively. SEM of the Freeze-dried optimized
lipidic carriers showed spherical particles. The in vitro experiments proved that Gefitinib in the lipidic
carriers is released gradually throughout 24 h.
Conclusion: This study showed that the response surface methodology could be efficiently applied
for the modeling of GEF-SLN & GEF-NLC.