Neurology and Therapeutics

Biography

Biography: Gyanendra Singh

Abstract

Development of an effective formulation for Antitubercular Drug (Rifabutin) involves careful optimization of a number of excipient and process variables. Some times the number of variables are so large that even the most efficient optimized designs require a very large number of trials which put stress on costs as well as time. A creative and Hybrid combination of number of design methods leads to a smaller number of trials. This study was aimed at the development of Nano Structured Lipid Carriers (NLCs) by using a combination of different optimization methods. We were screened using for full factorial design for their effects on formulation characteristics like particle size, entrapment efficiency, Zeta Potential, PDI. Few were found to have in-significant effects on the formulation parameters and hence were screened out. Out of the remaining variables it was found that some of these have significant effects on the size of the particles while the other had a higher influence on the entrapment efficiency and other responses. The screened variables were optimized for their effect on size using the Taguchi orthogonal array. The optimized values of the surfactants and lipids were kept constant for the next stage, where the sonication time, phase ratio, and drug: lipid ratio were varied using the Box–Behnken design and response surface method to optimize the entrapment efficiency. Finally, by performing only less number of trials, few variable were optimised for the development of Nano Lipid Carrier for Rifabutin.