Please use this identifier to cite or link to this item: http://repository.afs.edu.gr/handle/6000/449
Title: Optimisation of the HS-SPME/GC-MS approach by design of experiments combined with chemometrics for the classification of Cretan virgin olive oils
Authors: Lioupi, Artemis
Sampsonidis, Ioannis
Virgiliou, Christina
Papoti, Vassiliki T.
Zinoviadou, Kyriaki
Spyros, Apostolos
Theodoridis, Georgios
Editors: Torta, Federico Tesio
Subjects LC: Olive oil
Olive oil - Analysis
Keywords: Gas chromatography-mass spectrometry (GC-MS)
Headspace-solid phase microextraction (HS-SPME)
Olive oil
Volatile organic compounds (VOCs)
Volatilomics
Foodomics
Metabolomics
Issue Date: 25-Jan-2022
Publisher: MDPI
Abstract: A headspace-solid phase microextraction/gas chromatography-mass spectrometry (HS-SPME/GC-MS) method was developed herein for the analysis of virgin olive oil volatile metabolome. Optimisation of SPME conditions was performed by Design of Experiments (DoE) and Response Surface Methodology (RSM) approaches and factors, such as sample volume, sample stirring, extraction temperature and time, and desorption temperature and time, were examined to reach optimal microextraction conditions. The potential of the optimised method was then investigated for its use in the classification of Cretan virgin olive oil samples with the aid of multivariate statistical analysis. Certain markers were identified with significance in the geographical classification of Cretan extra-virgin olive oil (EVOO) samples. In total, 92 volatile organic compounds were tentatively identified and semi-quantified, and the data obtained confirm that the method is robust, reliable, and analytically powerful for olive oil classification.
Length: 19 pages
Type: Journal Article
Relation (Part Of): Metabolites Journal
Publication Status: Published
URI: https://www.mdpi.com/2218-1989/12/2/114/htm
https://doi.org/10.3390/metabo12020114
http://repository.afs.edu.gr/handle/6000/449
Citation: Lioupi, A, Sampsonidis, I, Virgiliou, C, Papoti, VT, Zinoviadou, KG, Spyros, A, & Theodoridis, G 2022, "Optimisation of the HS-SPME/GC-MS approach by design of experiments combined with chemometrics for the classification of Cretan virgin olive oils", Metabolites, vol. 12, no.114, pp. 1-19.
Repository: DAPL
Restrictions: Open Access
Attribution 4.0 International
Language: en
Appears in Collections:Journal Articles

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