OPTIMIZATION, CHARACTERIZATION AND IN VIVO STUDY OF RIVASTIGMINE TARTRATE NANOPARTICLES BY USING 22 FULL FACTORIAL DESIGN FOR ORAL DELIVERY

Objective: This research aims to optimize the solid lipid nanoparticles by using full factorial design improve delivery of rivastigmine tartrate (RT), which is used for treatment Alzheimer’s disease (AD). Solid (SLNs) are attracting importance drug developers due their performance. The outcome this will lead improvements in release and solubility RT better therapeutic effect. Methods: Four different methods were prepare tartrate, namely modified solvent emulsification technique, microemulsion cooling injection homogenization/ultrasonication technique. Glyceryl monostearate (GMS) was as a lipid; Compritol 888, tween 80, span 40 surfactants, co-surfactants, stabilizers, respectively. Results: SLNs evaluated zeta potential, particle size, polydispersity index, surface morphology, Fourier Transform Infrared Spectroscopy (FTIR), differential scanning calorimetry (DSC). Entrapment efficiency loading also estimated. Solubility study lipids well vitro release, studied. size found range between 138.22+0.01 nm 172.79+0.23 nm. potential optimized formulation be the-24+0.01mV range, indicating stable formulation. A electron microscope indicates clear spherical structure without any aggregation. determined 69.27+0.22%. RT-SLNs showed significant retention memory when compared with solution (standard formulation), may attributed nature nanostructure system that probably result more accumulation brain show Conclusion: current concludes technique best method patient compliance stability all desired characteristics parameters.