COMPUTATIONAL TOOLS ASSISTED FORMULATION OPTIMIZATION OF NEBIVOLOL HYDROCHLORIDE LOADED PLGA NANOPARTICLES BY 32 FACTORIAL DESIGNS

Abstract

Objective: The aim of the present study was to formulate and optimize the PLGA polymeric nanoparticle of Nebivolol Hydrochloride for sustain release of drug Methods: The drug-excipients interaction was explored by molecular docking studies by in silico tools. The drug-loaded polymeric nanoparticles prepared by emulsion solvent evaporation method using 32 factorial design and characterized for particle size, zeta potential, and entrapment efficiency. Shape and surface morphology was analysed by SEM and TEM. In vitro drug release study was performed by using a diffusion membrane. Results: The docking analysis inferred that the drug has interacted well with PLGA and PF-68, which could prevent the drug crystal formation. The optimized polymeric nanoparticles had a particle size of 291 nm and entrapment efficiency of 83.4% and were found to be within 95% of CI of the predicted value, which is acceptable. SEM and TEM studies showed that the formed polymeric nanoparticles were smooth, spherical in shape and uniform in size. In vitro drug release study of optimized formulation showed sustained release for prolonged time period Conclusion: Based on the computational studies and in vitro release studies, the developed Nebivolol hydrochloride loaded in PLGA nanoparticles could be a promising formulation in oral drug delivery for the treatment of hypertension.