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Characterization of material properties

By Razavi, Sonia; Oka, Sarang; Escotet-Espinoza, M. Sebastian; Wang, Yifan; Li, Tianyi; Futran Mauricio.; Muzzio, Fernando

Published on CMKC


This chapter describes the importance of deepening our understanding of material properties and their effect on process performance. There are many measurement techniques to describe the complex nature of powders, some of which are provided in this chapter. Strong knowledge of multivariate analysis is essential to extract useful information from the vast data typically generated in developing and operating continuous systems. Two of the most common methods, principal component analysis and clustering analysis, are described. This is followed by some of the applications of the material property databases along with a case study to highlight the importance of developing material data libraries to enable robust continuous process development.


Academic Press. 2022, 9-28



Type of publication

Chapter Book


  • Rutgers, The State University of New Jersey
  • Merck & Co., Inc.
  • Janssen Pharmaceuticals Inc. / Hovione / U.S. Food and Drug Administration (FDA)

Article Classification


Classification Areas

  • PAT
  • Oral solid dose