Applying the methodology of Design of Experiments to stability studies: a Partial Least Squares approach for evaluation of drug stability. (4th May 2018)

• Record Type: Journal Article
• Authors: Jordan, Nika; Zakrajšek, Jure; Bohanec, Simona; Roškar, Robert; Grabnar, Iztok
• Is Part Of: Drug development and industrial pharmacy. Volume 44:Number 5(2018)
• Page Start: 778
• Page End: 786
• Publication Date: 2018-05-04
• Subjects: Design of Experiments -- Partial Least Squares -- drug stability -- modeling -- stability studies; Pharmaceutical chemistry -- Periodicals; Pharmaceutical industry -- Periodicals; Drug Industry -- Periodicals; Technology, Pharmaceutical -- Periodicals; 615.05
• DOI: 10.1080/03639045.2017.1412459
• Languages: English
• ISSNs: 0363-9045

Abstract

Abstract: The aim of the present research is to show that the methodology of Design of Experiments can be applied to stability data evaluation, as they can be seen as multi-factor and multi-level experimental designs. Linear regression analysis is usually an approach for analyzing stability data, but multivariate statistical methods could also be used to assess drug stability during the development phase. Data from a stability study for a pharmaceutical product with hydrochlorothiazide (HCTZ) as an unstable drug substance was used as a case example in this paper. The design space of the stability study was modeled using Umetrics MODDE 10.1 software. We showed that a Partial Least Squares model could be used for a multi-dimensional presentation of all data generated in a stability study and for determination of the relationship among factors that influence drug stability. It might also be used for stability predictions and potentially for the optimization of the extent of stability testing needed to determine shelf life and storage conditions, which would be time and cost-effective for the pharmaceutical industry.