Effect of multivariate process instability on principal component analysis: A case study

Journal Title: The AAPS Journal - Year 2005, Vol 7, Issue 1

Abstract

With the rising use of principal component analysis/partial least squares (PCA/PLS) in the process analytical technology (PAT) initiative of the pharmaceutical industry, it seems appropriate to view that approach from a statistical process control (SPC) perspective. The purpose of this study was to demonstrate the effect of process instability (ie, state of statistical out-of-control) on use of PCA/PLS. The demonstrated differences in results should encourage PCA/PLS users to incorporate SPC as an active part of their process analytical control (PAC) toolkit to check for stability prior to drawing conclusions based on PCA/PLS analysis.

Authors and Affiliations

Donald S. Holmes, A. Erhan Mergen

Keywords

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  • EP ID EP681847
  • DOI  10.1208/aapsj070111
  • Views 98
  • Downloads 0

How To Cite

Donald S. Holmes, A. Erhan Mergen (2005). Effect of multivariate process instability on principal component analysis: A case study. The AAPS Journal, 7(1), -. https://europub.co.uk/articles/-A-681847