DESIGN OF EXPERIMENTS (DOE) IN PHARMACEUTICS: A COMPREHENSIVE REVIEW

Ramya Teja Medarametla*, Dr. J. N. Suresh Kumar, A. Raja Kumar, A. Bindhu Sri, A. Shaik Kousar, R. Sravanthi, D. Saida

Planning experiments in a methodical way helps scientists create and enhance drug formulas and production techniques in a scientific way. By studying different factors together, DOE can identify important materials, processes, and qualities that affect how well a drug works. DOE makes things more efficient by cutting down on the number of experiments needed and by finding hidden relationships between different factors, which is better than older, less efficient methods. This review covers key DOE techniques such as factorial designs, Response Surface Methodology (RSM), mixture designs, and optimal designs, which are used in different types of drug delivery systems like oral, transdermal, and injectable forms. It also looks into Quality by Design (QbD) from a regulatory perspective, including how Bayesian and adaptive designs, alongside machine learning, are used. The article concludes by pointing out successful methods and current trends in making reliable, affordable, and legally approved medicines.