(720b) Finding a Surrogate Material to an Expensive API By Applying a Multivariate Analysis on a Material Database

Authors: 
Escotet-Espinoza, M. S., Rutgers, The State University of New Jersey
Callegari, G., Rutgers University
Ierapetritou, M., Rutgers, The State University of New Jersey
Muzzio, F., Rutgers, The State University of New Jersey
Implementing a QbD approach in the pharmaceutical industry implies full understanding of processes effects into product performance. It also requires performing quantitative risk assessments.  Risk relies on understanding the role played not only by processing parameters, but also by raw and intermediate material properties. From this, the importance and necessity of implementing techniques to characterize material properties and to relate them with product performance through processing parameters. Within this context is that determining critical material properties is an important step towards defining the design space. Usually, the number of characterization techniques is too many. Decreasing that number without significantly losing descriptive power is the goal of this presentation, for that we use Principal Component Analysis....