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NMR-Based Metabolite Profiling and the Application of STOCSY toward the Quality and Authentication Assessment of European EVOOs
Extra virgin olive oil (EVOO) possesses a high-value rank in the food industry, thus making it a common target for adulteration. Hence, several methods have been essentially made available over the years. However, the issue of authentication remains unresolved with national and food safety organizat...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966212/ https://www.ncbi.nlm.nih.gov/pubmed/36838725 http://dx.doi.org/10.3390/molecules28041738 |
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author | Beteinakis, Stavros Papachristodoulou, Anastasia Kolb, Peter Rösch, Paul Schwarzinger, Stephan Mikros, Emmanuel Halabalaki, Maria |
author_facet | Beteinakis, Stavros Papachristodoulou, Anastasia Kolb, Peter Rösch, Paul Schwarzinger, Stephan Mikros, Emmanuel Halabalaki, Maria |
author_sort | Beteinakis, Stavros |
collection | PubMed |
description | Extra virgin olive oil (EVOO) possesses a high-value rank in the food industry, thus making it a common target for adulteration. Hence, several methods have been essentially made available over the years. However, the issue of authentication remains unresolved with national and food safety organizations globally struggling to regulate and control its market. Over the course of this study, the aim was to determine the origin of EVOOs suggesting a high-throughput, state-of-the-art method that could be easily adopted. A rapid, NMR-based untargeted metabolite profiling method was applied and complemented by multivariate analysis (MVA) and statistical total correlation spectroscopy (STOCSY). STOCSY is a valuable statistical tool contributing to the biomarker identification process and was employed for the first time in EVOO analysis. Market samples from three Mediterranean countries of Spain, Italy, and Greece, blended samples from these countries, as well as monocultivar samples from Greece were analyzed. The NMR spectra were collected, with the help of chemometrics acting as “fingerprints” leading to the discovery of certain chemical classes and single biomarkers that were related to the classification of the samples into groups based on their origin. |
format | Online Article Text |
id | pubmed-9966212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99662122023-02-26 NMR-Based Metabolite Profiling and the Application of STOCSY toward the Quality and Authentication Assessment of European EVOOs Beteinakis, Stavros Papachristodoulou, Anastasia Kolb, Peter Rösch, Paul Schwarzinger, Stephan Mikros, Emmanuel Halabalaki, Maria Molecules Article Extra virgin olive oil (EVOO) possesses a high-value rank in the food industry, thus making it a common target for adulteration. Hence, several methods have been essentially made available over the years. However, the issue of authentication remains unresolved with national and food safety organizations globally struggling to regulate and control its market. Over the course of this study, the aim was to determine the origin of EVOOs suggesting a high-throughput, state-of-the-art method that could be easily adopted. A rapid, NMR-based untargeted metabolite profiling method was applied and complemented by multivariate analysis (MVA) and statistical total correlation spectroscopy (STOCSY). STOCSY is a valuable statistical tool contributing to the biomarker identification process and was employed for the first time in EVOO analysis. Market samples from three Mediterranean countries of Spain, Italy, and Greece, blended samples from these countries, as well as monocultivar samples from Greece were analyzed. The NMR spectra were collected, with the help of chemometrics acting as “fingerprints” leading to the discovery of certain chemical classes and single biomarkers that were related to the classification of the samples into groups based on their origin. MDPI 2023-02-11 /pmc/articles/PMC9966212/ /pubmed/36838725 http://dx.doi.org/10.3390/molecules28041738 Text en © 2023 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 Beteinakis, Stavros Papachristodoulou, Anastasia Kolb, Peter Rösch, Paul Schwarzinger, Stephan Mikros, Emmanuel Halabalaki, Maria NMR-Based Metabolite Profiling and the Application of STOCSY toward the Quality and Authentication Assessment of European EVOOs |
title | NMR-Based Metabolite Profiling and the Application of STOCSY toward the Quality and Authentication Assessment of European EVOOs |
title_full | NMR-Based Metabolite Profiling and the Application of STOCSY toward the Quality and Authentication Assessment of European EVOOs |
title_fullStr | NMR-Based Metabolite Profiling and the Application of STOCSY toward the Quality and Authentication Assessment of European EVOOs |
title_full_unstemmed | NMR-Based Metabolite Profiling and the Application of STOCSY toward the Quality and Authentication Assessment of European EVOOs |
title_short | NMR-Based Metabolite Profiling and the Application of STOCSY toward the Quality and Authentication Assessment of European EVOOs |
title_sort | nmr-based metabolite profiling and the application of stocsy toward the quality and authentication assessment of european evoos |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966212/ https://www.ncbi.nlm.nih.gov/pubmed/36838725 http://dx.doi.org/10.3390/molecules28041738 |
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