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 was 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
dependent variables were Particle Size and Poly Dispersity Index.
Result: 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.