NMR-based metabolomics for frauds detection and quality control of oregano samples

In this work 1H NMR metabolomics has been employed for quality control of oregano samples. NMR data and morphological analysis (MA) were combined by PCA, obtaining a model able to individuate non-marketable samples, and to distinguish between the two marketable oregano species (Origanum vulgare and O. onites) on the basis of their metabolomic profile. Through this approach distinctive biomarkers of the two species were found, namely apigenin and p-cymene for O. onites, and salvianolic acid B for O. vulgare. Furthermore, the percentage of the samples’ impurity (evaluated by MA) and the metabolomic profiles were correlated by OPLS models, which showed that, in addition to the species-specific biomarkers, thymol and rosmarinic acid (common to both marketable species) strongly correlate to oregano degree of purity. Cistus was one of the most frequent contaminants, thus, a further OPLS model, able to detect the degree of cistus contamination in oregano samples, was also built.

Keywords:

NMR-based metabolomicsQuality controlBiomarkersApigeninp-cymeneSalvianolic acid BOreganoCistus / NMR-based metabolomics / Quality control / Biomarkers / Apigeninp-cymene / Salvianolic acid / Oregano / Cistus

Source:
Food Control, 2021, 127, 108141-

Publisher:

Elsevier

Note:

This is the peer-reviewed version of the article: Mandrone, M., Marincich, L., Chiocchio, I., Petroli, A., Gođevac, D., Maresca, I.,& Poli, F. (2021). NMR-based metabolomics for frauds detection and quality control of oregano samples. Food Control, Elsevier., 127, 108141. https://doi.org/10.1016/j.foodcont.2021.108141
Published version of the manuscript: https://cer.ihtm.bg.ac.rs/handle/123456789/4550
Supplementary material: https://cer.ihtm.bg.ac.rs/handle/123456789/4551

Related info:

Version of
https://doi.org/10.1016/j.foodcont.2021.108141
Version of
https://cer.ihtm.bg.ac.rs/handle/123456789/4550
Referenced by
https://cer.ihtm.bg.ac.rs/handle/123456789/4551
Referenced by
https://cer.ihtm.bg.ac.rs/handle/123456789/4551

DOI: 10.1016/j.foodcont.2021.108141

ISSN: 0956-7135

WoS: 000648668600011

Scopus: 2-s2.0-85104907529

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	13
	2

TY  - JOUR
AU  - Mandrone, Manuela
AU  - Marincich, Lorenzo
AU  - Chiocchio, Ilaria
AU  - Petroli, Alessandra
AU  - Gođevac, Dejan
AU  - Maresca, Immacolata
AU  - Poli, Ferruccio
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4577
AB  - In this work 1H NMR metabolomics has been employed for quality control of oregano samples. NMR data and morphological analysis (MA) were combined by PCA, obtaining a model able to individuate non-marketable samples, and to distinguish between the two marketable oregano species (Origanum vulgare and O. onites) on the basis of their metabolomic profile. Through this approach distinctive biomarkers of the two species were found, namely apigenin and p-cymene for O. onites, and salvianolic acid B for O. vulgare. Furthermore, the percentage of the samples’ impurity (evaluated by MA) and the metabolomic profiles were correlated by OPLS models, which showed that, in addition to the species-specific biomarkers, thymol and rosmarinic acid (common to both marketable species) strongly correlate to oregano degree of purity. Cistus was one of the most frequent contaminants, thus, a further OPLS model, able to detect the degree of cistus contamination in oregano samples, was also built.
PB  - Elsevier
T2  - Food Control
T1  - NMR-based metabolomics for frauds detection and quality control of oregano samples
VL  - 127
SP  - 108141
DO  - 10.1016/j.foodcont.2021.108141
ER  -

@article{
author = "Mandrone, Manuela and Marincich, Lorenzo and Chiocchio, Ilaria and Petroli, Alessandra and Gođevac, Dejan and Maresca, Immacolata and Poli, Ferruccio",
year = "2021",
abstract = "In this work 1H NMR metabolomics has been employed for quality control of oregano samples. NMR data and morphological analysis (MA) were combined by PCA, obtaining a model able to individuate non-marketable samples, and to distinguish between the two marketable oregano species (Origanum vulgare and O. onites) on the basis of their metabolomic profile. Through this approach distinctive biomarkers of the two species were found, namely apigenin and p-cymene for O. onites, and salvianolic acid B for O. vulgare. Furthermore, the percentage of the samples’ impurity (evaluated by MA) and the metabolomic profiles were correlated by OPLS models, which showed that, in addition to the species-specific biomarkers, thymol and rosmarinic acid (common to both marketable species) strongly correlate to oregano degree of purity. Cistus was one of the most frequent contaminants, thus, a further OPLS model, able to detect the degree of cistus contamination in oregano samples, was also built.",
publisher = "Elsevier",
journal = "Food Control",
title = "NMR-based metabolomics for frauds detection and quality control of oregano samples",
volume = "127",
pages = "108141",
doi = "10.1016/j.foodcont.2021.108141"
}

Mandrone, M., Marincich, L., Chiocchio, I., Petroli, A., Gođevac, D., Maresca, I.,& Poli, F.. (2021). NMR-based metabolomics for frauds detection and quality control of oregano samples. in Food Control
Elsevier., 127, 108141.
https://doi.org/10.1016/j.foodcont.2021.108141

Mandrone M, Marincich L, Chiocchio I, Petroli A, Gođevac D, Maresca I, Poli F. NMR-based metabolomics for frauds detection and quality control of oregano samples. in Food Control. 2021;127:108141.
doi:10.1016/j.foodcont.2021.108141 .

Mandrone, Manuela, Marincich, Lorenzo, Chiocchio, Ilaria, Petroli, Alessandra, Gođevac, Dejan, Maresca, Immacolata, Poli, Ferruccio, "NMR-based metabolomics for frauds detection and quality control of oregano samples" in Food Control, 127 (2021):108141,
https://doi.org/10.1016/j.foodcont.2021.108141 . .