Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7599627 | Food Chemistry | 2014 | 8 Pages |
Abstract
As part of an ongoing research program on authentication, safety and biological evaluation of phytochemicals and dietary supplements, an in-depth chemical investigation of different types of chamomile was performed. A collection of chamomile samples including authenticated plants, commercial products and essential oils was analysed by GC/MS. Twenty-seven authenticated plant samples representing three types of chamomile, viz. German chamomile, Roman chamomile and Juhua were analysed. This set of data was employed to construct a sample class prediction (SCP) model based on stepwise reduction of data dimensionality followed by principle component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). The model was cross-validated with samples including authenticated plants and commercial products. The model demonstrated 100.0% 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 validated PLS-DA model. Furthermore, tentative identification of the marker compounds correlated with different types of chamomile was explored.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Mei Wang, Bharathi Avula, Yan-Hong Wang, Jianping Zhao, Cristina Avonto, Jon F. Parcher, Vijayasankar Raman, Jerry A. Zweigenbaum, Philip L. Wylie, Ikhlas A. Khan,