Multivariate statistical process control in chromatography

The need for multivariate statistical process control (MSPC) to check the performance of processes is becoming more important as the increasing number of variables that can be measured increases. In this paper Hotellingʹs T2 statistic based on PCA is used for the development of multivariate control charts. The significant principal components (PCs) are used to develop the T2-chart and the remaining PCs contribute to the ρSPE -chart. Results of applying multivariate control charts in chromatography are presented. The application concerns a capillary gas chromatography analysis of the fatty acid composition in BCR162 (soya-maize oil).