Review on: Statistical designs and response surface methodology (RSM) as a tool for the optimization of HPLC Methods

Abstract

The present paper discusses the basics and exercising response surface methodology (RSM) for the optimization of HPLC methods for separation and quantification of various pharmaceuticals. The Symmetrical experimental designs: Full factorial three level design, Central composite design, Box –Benhken design, Doehlert design and Mixture design are discussed and applications of these techniques for optimization of extraction, Derivitization, quantification and determination of experiment al conditions for HPLC separations are presented with recent references. The practice of mixture design for optimization of mobile phases is also summarized.