@article{
author = "Ivanović, Stefan and Mandrone, Manuela and Simić, Katarina and Ristić, Mirjana and Todosijević, Marina and Mandić, Boris and Gođevac, Dejan",
year = "2021",
abstract = "Oregano is one of the most used culinary herb and it is often adulterated with cheaper plants. In this study, GC–MS was used for identification
and quantification of metabolites from 104 samples of oregano (Origanum vulgare and O. onites) adulterated with olive (Olea europaea), venetian sumac
(Cotinus coggygria) and myrtle (Myrtus communis) leaves, at five different
concentration levels. The metabolomics profiles obtained after the two-step
derivatization, involving methoxyamination and silanization, were subjected to
multivariate data analysis to reveal markers of adulteration and to build the regression models on the basis of the oregano-to-adulterants mixing ratio. Orthogonal partial least squares enabled detection of oregano adulterations with
olive, Venetian sumac and myrtle leaves. Sorbitol levels distinguished oregano
samples adulterated with olive leaves, while shikimic and quinic acids were
recognized as discrimination factor for adulteration of oregano with venetian
sumac. Fructose and quinic acid levels correlated with oregano adulteration
with myrtle. Orthogonal partial least squares discriminant analysis enabled discrimination of O. vulgare and O. onites samples, where catechollactate was
found to be discriminating metabolite.",
publisher = "Belgrade : Serbian Chemical Society",
journal = "Journal of the Serbian Chemical Society",
title = "GC–MS-based metabolomics for the detection of adulteration in oregano samples",
volume = "86",
number = "12",
pages = "1195-1203",
doi = "10.2298/JSC210809089I"
}
