NMR analysis of Extra Virgin Olive Oil - classification through secoiridoids.

Extra Virgin Olive oil (EVOO) aldehyde content indicator, unreferenced quantification method metabolomic analysis secoiridoids

Journal

Journal of the science of food and agriculture
ISSN: 1097-0010
Titre abrégé: J Sci Food Agric
Pays: England
ID NLM: 0376334

Informations de publication

Date de publication:
29 Nov 2023
Historique:
revised: 27 09 2023
received: 24 06 2023
accepted: 26 10 2023
medline: 29 11 2023
pubmed: 29 11 2023
entrez: 29 11 2023
Statut: aheadofprint

Résumé

Extra Virgin Olive oil (EVOO), a natural product with a multidiscipline role has been and is continuing to be studied from several points of view. Among them, its chemical analysis is of major importance and several methods have been used. NMR spectroscopy bears its inherent advantages, among them monitoring the chemical constituents without the need of a separation technique and without for instance possible carry over effects. Additionally, several magnetic resonance spectroscopy techniques can provide a novel powered insight in the nature and the properties of a sample under study. Moreover, -omics procedure can reveal new information and can lead to the classification of populations under study. The main objective of the present work was the possible classification of the EVOO samples based on their aldehyde content using a proposed unreferenced Univariate analysis of twelve EVOO samples showed that oleacein, oleocanthal, elenolic acid, the hydroxytyrosol / hydroxytyrosol derivatives and tyrosol / tyrosol derivatives, strongly differentiate the two classes of EVOO: the OEH (for high aldehyde EVOO content) and the OE (for non-high aldehyde content). Moreover, we pointed out the "impact" of such elevated secoiridoid and derivatives' content, through their moieties' units, on a range of several resonances of the An unreferenced quantification method was proposed and EVOO samples were classified into two classes: OEH and OE according to their aldehyde content gaining thus probably higher nutrient and possible pharmacological value. Moreover, we point out the "impact" of such elevated aldehyde content on several spectral regions of the

Sections du résumé

BACKGROUND BACKGROUND
Extra Virgin Olive oil (EVOO), a natural product with a multidiscipline role has been and is continuing to be studied from several points of view. Among them, its chemical analysis is of major importance and several methods have been used. NMR spectroscopy bears its inherent advantages, among them monitoring the chemical constituents without the need of a separation technique and without for instance possible carry over effects. Additionally, several magnetic resonance spectroscopy techniques can provide a novel powered insight in the nature and the properties of a sample under study. Moreover, -omics procedure can reveal new information and can lead to the classification of populations under study. The main objective of the present work was the possible classification of the EVOO samples based on their aldehyde content using a proposed unreferenced
RESULTS RESULTS
Univariate analysis of twelve EVOO samples showed that oleacein, oleocanthal, elenolic acid, the hydroxytyrosol / hydroxytyrosol derivatives and tyrosol / tyrosol derivatives, strongly differentiate the two classes of EVOO: the OEH (for high aldehyde EVOO content) and the OE (for non-high aldehyde content). Moreover, we pointed out the "impact" of such elevated secoiridoid and derivatives' content, through their moieties' units, on a range of several resonances of the
CONCLUSIONS CONCLUSIONS
An unreferenced quantification method was proposed and EVOO samples were classified into two classes: OEH and OE according to their aldehyde content gaining thus probably higher nutrient and possible pharmacological value. Moreover, we point out the "impact" of such elevated aldehyde content on several spectral regions of the

Identifiants

pubmed: 38018400
doi: 10.1002/jsfa.13139
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 Society of Chemical Industry.

Auteurs

Constantinos G Tsiafoulis (CG)

NMR Centre, Laboratory of Analytical Chemistry, Dept. of Chemistry, University of Ioannina, Greece.
Hellenic Open University, Patras, Greece.

Christina Liaggou (C)

Laboratory of Food Chemistry, Dept. of Chemistry, University of Ioannina, Greece.

Achilleas Garoufis (A)

Laboratory of Inorganic Chemistry, Dept. of Chemistry, University of Ioannina, Greece.

Prokopios Magiatis (P)

Department of Pharmacy, National and Kapodistrian University of Athens.

Ioannis G Roussis (IG)

Laboratory of Food Chemistry, Dept. of Chemistry, University of Ioannina, Greece.

Classifications MeSH