title: Towards better process understanding: chemometrics and multivariate measurements in manufacturing of solid dosage forms.
abstract: The manufacturing of tablets involves many unit operations that possess multivariate and complex characteristics. The interactions between the material characteristics and process related variation are presently not comprehensively analyzed due to univariate detection methods. As a consequence, current best practice to control a typical process is to not allow process-related factors to vary i.e. lock the production parameters. The problem related to the lack of sufficient process understanding is still there: the variation within process and material properties is an intrinsic feature and cannot be compensated for with constant process parameters. Instead, a more comprehensive approach based on the use of multivariate tools for investigating processes should be applied. In the pharmaceutical field these methods are referred to as Process Analytical Technology (PAT) tools that aim to achieve a thorough understanding and control over the production process. PAT includes the frames for measurement as well as data analyzes and controlling for in-depth understanding, leading to more consistent and safer drug products with less batch rejections. In the optimal situation, by applying these techniques, destructive end-product testing could be avoided. In this paper the most prominent multivariate data analysis measuring tools within tablet manufacturing and basic research on operations are reviewed.
authors: Department of Food Science, Quality & Technology, Faculty of Science, University of Copenhagen, DK-1958 Frederiksberg-C, Denmark. sanni.matero@novartis.com
authors: Sanni
authors: S
authors: Matero
authors: Frans
authors: F
authors: van Den Berg
authors: Sami
authors: S
authors: Poutiainen
authors: Jukka
authors: J
authors: Rantanen
authors: Jari
authors: J
authors: Pajander
mesh_terms: D004339:Drug Compounding / Q000379:methods*; D015999:Multivariate Analysis; D011786:Quality Control; D013057:Spectrum Analysis / Q000379:methods; D013607:Tablets / Q000737:chemistry*
chemical_list: D013607:Tablets