Food Testing & Agriculture
A highly accurate statistical model has been developed to determine the exact type of chamomile used in the production of commercial herbal products. the model was developed from accurate GC/MS data obtained with an Agilent 7890 GC and Agilent 5975 GC/MSD. Quality control of the samples was performed by principal Component Analysis (PCA) and a sample class prediction model based on Partial Least Squares Discriminant Analysis (PLS-DA) was constructed. The model demonstrated 100% accuracy for both recognition and prediction abilities. In addition, 35 commercial products and 11 essential oils purported to contain chamomile were subsequently predicted by the model based on PLS-DA.
Publication number: 5991-3969EN.pdf
Publication Date: February 17, 2014