The Power of Mathematical Modeling in Pharmaceutical Analysis Using DryLab Software

Discovering and developing safe and effective new medicines is a long, difficult, and expensive process. The research-based pharmaceutical industry invests around $1 billion in research and development to construct one drug product. An analytical method should be developed and validated to assay for the active ingredient and to determine the related compounds before marketing any drug product for public use.

With a minimal number of preliminary trial separations, DryLab software is used to predict the optimum conditions in developing a method for pharmaceutical analysis. This software is capable of producing window diagrams and resolution maps that can be used to predict sets of conditions that will result in optimum separation. These resolution maps and window diagrams also help in selecting robust conditions that will overcome small changes in the separation parameters made deliberately. Albazi will explore the power of this modeling device in optimizing conditions for the reversed-phase high performance liquid chromatography when optimizing separation conditions.