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Optimisation of the HS-SPME/GC-MS Approach by Design of Experiments Combined with Chemometrics for the Classification of Cretan Virgin Olive Oils

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) appro...

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Autores principales: Lioupi, Artemis, Sampsonidis, Ioannis, Virgiliou, Christina, Papoti, Vassiliki T., Zinoviadou, Kyriaki G., Spyros, Apostolos, Theodoridis, Georgios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878322/
https://www.ncbi.nlm.nih.gov/pubmed/35208191
http://dx.doi.org/10.3390/metabo12020114
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author Lioupi, Artemis
Sampsonidis, Ioannis
Virgiliou, Christina
Papoti, Vassiliki T.
Zinoviadou, Kyriaki G.
Spyros, Apostolos
Theodoridis, Georgios
author_facet Lioupi, Artemis
Sampsonidis, Ioannis
Virgiliou, Christina
Papoti, Vassiliki T.
Zinoviadou, Kyriaki G.
Spyros, Apostolos
Theodoridis, Georgios
author_sort Lioupi, Artemis
collection PubMed
description 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.
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spelling pubmed-88783222022-02-26 Optimisation of the HS-SPME/GC-MS Approach by Design of Experiments Combined with Chemometrics for the Classification of Cretan Virgin Olive Oils Lioupi, Artemis Sampsonidis, Ioannis Virgiliou, Christina Papoti, Vassiliki T. Zinoviadou, Kyriaki G. Spyros, Apostolos Theodoridis, Georgios Metabolites Article 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. MDPI 2022-01-25 /pmc/articles/PMC8878322/ /pubmed/35208191 http://dx.doi.org/10.3390/metabo12020114 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lioupi, Artemis
Sampsonidis, Ioannis
Virgiliou, Christina
Papoti, Vassiliki T.
Zinoviadou, Kyriaki G.
Spyros, Apostolos
Theodoridis, Georgios
Optimisation of the HS-SPME/GC-MS Approach by Design of Experiments Combined with Chemometrics for the Classification of Cretan Virgin Olive Oils
title Optimisation of the HS-SPME/GC-MS Approach by Design of Experiments Combined with Chemometrics for the Classification of Cretan Virgin Olive Oils
title_full Optimisation of the HS-SPME/GC-MS Approach by Design of Experiments Combined with Chemometrics for the Classification of Cretan Virgin Olive Oils
title_fullStr Optimisation of the HS-SPME/GC-MS Approach by Design of Experiments Combined with Chemometrics for the Classification of Cretan Virgin Olive Oils
title_full_unstemmed Optimisation of the HS-SPME/GC-MS Approach by Design of Experiments Combined with Chemometrics for the Classification of Cretan Virgin Olive Oils
title_short Optimisation of the HS-SPME/GC-MS Approach by Design of Experiments Combined with Chemometrics for the Classification of Cretan Virgin Olive Oils
title_sort optimisation of the hs-spme/gc-ms approach by design of experiments combined with chemometrics for the classification of cretan virgin olive oils
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878322/
https://www.ncbi.nlm.nih.gov/pubmed/35208191
http://dx.doi.org/10.3390/metabo12020114
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