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GC–MS-based metabolomics for the detection of adulteration in oregano samples

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2021
bitstream_29539.pdf (2.856Mb)
Authors
Ivanović, Stefan
Mandrone, Manuela
Simić, Katarina
Ristić, Mirjana
Todosijević, Marina
Mandić, Boris
Gođevac, Dejan
Article (Published version)
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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.

Keywords:
chromatography / PCA / OPLS / Origanum vulgare / Origanum onites / Olea europaea / Cotinus coggygria / Myrtus communis
Source:
Journal of the Serbian Chemical Society, 2021, 86, 12, 1195-1203
Publisher:
  • Belgrade : Serbian Chemical Society
Funding / projects:
  • Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200026 (University of Belgrade, Institute of Chemistry, Technology and Metallurgy - IChTM) (RS-200026)
Note:
  • Supplementary material: https://cherry.chem.bg.ac.rs/handle/123456789/5035
Related info:
  • Referenced by
    https://cherry.chem.bg.ac.rs/handle/123456789/5118

DOI: 10.2298/JSC210809089I

ISSN: 0352-5139

WoS: 000735217700001

Scopus: 2-s2.0-85124478963
[ Google Scholar ]
URI
http://cherry.chem.bg.ac.rs/handle/123456789/5035
Collections
  • Publikacije
Institution/Community
Hemijski fakultet
TY  - 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 . .

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