GC–MS-based metabolomics for the detection of adulteration in oregano samples
Аутори
Ivanović, StefanMandrone, Manuela
Simić, Katarina
Ristić, Mirjana
Todosijević, Marina
Mandić, Boris
Gođevac, Dejan
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
chromatography / PCA / OPLS / Origanum vulgare / Origanum onites / Olea europaea / Cotinus coggygria / Myrtus communisИзвор:
Journal of the Serbian Chemical Society, 2021, 86, 12, 1195-1203Издавач:
- Belgrade : Serbian Chemical Society
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200026 (Универзитет у Београду, Институт за хемију, технологију и металургију - ИХТМ) (RS-MESTD-inst-2020-200026)
Напомена:
- Supplementary material: https://cherry.chem.bg.ac.rs/handle/123456789/5035
Повезане информације:
DOI: 10.2298/JSC210809089I
ISSN: 0352-5139
WoS: 000735217700001
Scopus: 2-s2.0-85124478963
Колекције
Институција/група
Hemijski fakultet / Faculty of ChemistryTY - JOUR AU - Ivanović, Stefan AU - Mandrone, Manuela AU - Simić, Katarina AU - Ristić, Mirjana AU - Todosijević, Marina AU - Mandić, Boris AU - Gođevac, Dejan PY - 2021 UR - http://cherry.chem.bg.ac.rs/handle/123456789/5035 AB - 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. PB - Belgrade : Serbian Chemical Society T2 - Journal of the Serbian Chemical Society T1 - GC–MS-based metabolomics for the detection of adulteration in oregano samples VL - 86 IS - 12 SP - 1195 EP - 1203 DO - 10.2298/JSC210809089I ER -
@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" }
Ivanović, S., Mandrone, M., Simić, K., Ristić, M., Todosijević, M., Mandić, B.,& Gođevac, D.. (2021). GC–MS-based metabolomics for the detection of adulteration in oregano samples. in Journal of the Serbian Chemical Society Belgrade : Serbian Chemical Society., 86(12), 1195-1203. https://doi.org/10.2298/JSC210809089I
Ivanović S, Mandrone M, Simić K, Ristić M, Todosijević M, Mandić B, Gođevac D. GC–MS-based metabolomics for the detection of adulteration in oregano samples. in Journal of the Serbian Chemical Society. 2021;86(12):1195-1203. doi:10.2298/JSC210809089I .
Ivanović, Stefan, Mandrone, Manuela, Simić, Katarina, Ristić, Mirjana, Todosijević, Marina, Mandić, Boris, Gođevac, Dejan, "GC–MS-based metabolomics for the detection of adulteration in oregano samples" in Journal of the Serbian Chemical Society, 86, no. 12 (2021):1195-1203, https://doi.org/10.2298/JSC210809089I . .