title: Herbal tea identification using mid-infrared spectroscopy.
abstract: Herbal teas and other herbal preparations are becoming more and more popular, and it is essential to ensure their quality. Quality control methods that are simple, fast, and of low cost are needed by the producers and by inspections. Infrared spectroscopy coupled with multivariate mathematical methods has been shown to be useful for the identification and characterization of plant samples. In this work, we developed a method for the identification of herbal drugs in different herbal teas. 100 one-component herbal teas were first used to build an identification algorithm, which showed 100 % correct classification. In the next validation step, 13 samples from 7 herbal mixtures were analyzed, confirming high accurate results for classification. The influence of using different number of components in the principal component analysis is also explored. Infrared spectroscopy coupled with analysis of variance, principal component analysis, and discriminant analysis was shown to be highly applicable for quality control procedures.
authors.affiliation: Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia.
authors.forename: Meta
authors.initials: M
authors.lastname: Kokalj
authors.affiliation: Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia.
authors.forename: Karmen
authors.initials: K
authors.lastname: Štih
authors.affiliation: Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia.
authors.forename: Samo
authors.initials: S
authors.lastname: Kreft
mesh_terms: D000465:Algorithms; D001628:Beverages / Q000032:analysis*; D016002:Discriminant Analysis; D004340:Drug Contamination; D006801:Humans; D028321:Plant Preparations / Q000032:analysis*; D010946:Plants, Medicinal; D025341:Principal Component Analysis; D011786:Quality Control; D013055:Spectrophotometry, Infrared
chemical_list: D028321:Plant Preparations