Thesis

ABSTRACT Nanoparticulate drug delivery systems have tremendous application scenarios in the dealing of several diseases, particularly in cancer treatment. The key aim of fabricating nanoparticles in a drug delivery system is to control particle size, surface properties (zeta potential, PDI) and release of drug to attain the targeted action of the active pharmaceutical agent in an optimum range. Polymeric nanoparticles have promising features of easy design, better biocompatibility, broad-structure variability, and distinguished biological characteristics. The main objective of the current research was to develop, optimize and evaluate chitosan and PLGA loaded Bendamustine nanoparticle. The technique employed for the preparation was ionic gelation technique as well as emulsion solvent diffusion technique and the optimization was done with the help of 23 factorial designs. In the optimization process a relation between independent (polymer concentration, surfactant concentration and sonication time) and depende