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Comparative Evaluation of Different Targeted and Untargeted Analytical Approaches to Assess Greek Extra Virgin Olive Oil Quality and Authentication.
Molecules. 2022 Feb 16; 27(4)M

Abstract

Extra virgin olive oil (EVOO) is a key component of the Mediterranean diet, with several health benefits derived from its consumption. Moreover, due to its eminent market position, EVOO has been thoroughly studied over the last several years, aiming at its authentication, but also to reveal the chemical profile inherent to its beneficial properties. In the present work, a comparative study was conducted to assess Greek EVOOs' quality and authentication utilizing different analytical approaches, both targeted and untargeted. 173 monovarietal EVOOs from three emblematic Greek cultivars (Koroneiki, Kolovi and Adramytiani), obtained during the harvesting years of 2018-2020, were analyzed and quantified as per their fatty acids methyl esters (FAMEs) composition via the official method (EEC) No 2568/91, as well as their bioactive content through liquid chromatography coupled to high resolution mass spectrometry (LC-HRMS) methodology. In addition to FAMEs analysis, EVOO samples were also analyzed via HRMS-untargeted metabolomics and optical spectroscopy techniques (visible absorption, fluorescence and Raman). The data retrieved from all applied techniques were analyzed with Machine Learning methods for the authentication of the EVOOs' variety. The models' predictive performance was calculated through test samples, while for further evaluation 30 commercially available EVOO samples were also examined in terms of variety. To the best of our knowledge, this is the first study where different techniques from the fields of standard analysis, spectrometry and optical spectroscopy are applied to the same EVOO samples, providing strong insight into EVOOs chemical profile and a comparative evaluation through the different platforms.

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Authors+Show Affiliations

Drakopoulou S
Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771 Athens, Greece.
Orfanakis E
Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Greece. Department of Materials Science and Technology, University of Crete, 70013 Heraklion, Greece.
Karagiannaki I
Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Greece.
Gaitis F
Food Analytical and Research Laboratories of Athens, Directorate of Laboratories, Hellenic Food Authority (EFET) 143 42, 31 Anagenniseos Str, Nea Philadelfeia, 11526 Athens, Greece.
Skoulika S
Food Analytical and Research Laboratories of Athens, Directorate of Laboratories, Hellenic Food Authority (EFET) 143 42, 31 Anagenniseos Str, Nea Philadelfeia, 11526 Athens, Greece.
Papaioannou A
Food Analytical and Research Laboratories of Athens, Directorate of Laboratories, Hellenic Food Authority (EFET) 143 42, 31 Anagenniseos Str, Nea Philadelfeia, 11526 Athens, Greece.
Boukouvalas G
Food Analytical and Research Laboratories of Athens, Directorate of Laboratories, Hellenic Food Authority (EFET) 143 42, 31 Anagenniseos Str, Nea Philadelfeia, 11526 Athens, Greece.
Petropoulos G
Food Analytical and Research Laboratories of Athens, Directorate of Laboratories, Hellenic Food Authority (EFET) 143 42, 31 Anagenniseos Str, Nea Philadelfeia, 11526 Athens, Greece.
Katsoudas V
Food Analytical and Research Laboratories of Athens, Directorate of Laboratories, Hellenic Food Authority (EFET) 143 42, 31 Anagenniseos Str, Nea Philadelfeia, 11526 Athens, Greece.
Kontzedaki R
Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Greece.
Philippidis A
Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Greece.
Zoumi A
Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Greece.
Dasenaki M
Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771 Athens, Greece. Laboratory of Food Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771 Athens, Greece.
Thomaidis NS
Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771 Athens, Greece.
Velegrakis M
Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Greece.

MeSH

Fatty AcidsFood AnalysisFood IngredientsFood QualityGreeceMetabolomicsOlive OilSpectrum Analysis

Pub Type(s)

Journal Article

Language

eng

PubMed ID

35209139

Citation

Drakopoulou, Sofia, et al. "Comparative Evaluation of Different Targeted and Untargeted Analytical Approaches to Assess Greek Extra Virgin Olive Oil Quality and Authentication." Molecules (Basel, Switzerland), vol. 27, no. 4, 2022.
Drakopoulou S, Orfanakis E, Karagiannaki I, et al. Comparative Evaluation of Different Targeted and Untargeted Analytical Approaches to Assess Greek Extra Virgin Olive Oil Quality and Authentication. Molecules. 2022;27(4).
Drakopoulou, S., Orfanakis, E., Karagiannaki, I., Gaitis, F., Skoulika, S., Papaioannou, A., Boukouvalas, G., Petropoulos, G., Katsoudas, V., Kontzedaki, R., Philippidis, A., Zoumi, A., Dasenaki, M., Thomaidis, N. S., & Velegrakis, M. (2022). Comparative Evaluation of Different Targeted and Untargeted Analytical Approaches to Assess Greek Extra Virgin Olive Oil Quality and Authentication. Molecules (Basel, Switzerland), 27(4). https://doi.org/10.3390/molecules27041350
Drakopoulou S, et al. Comparative Evaluation of Different Targeted and Untargeted Analytical Approaches to Assess Greek Extra Virgin Olive Oil Quality and Authentication. Molecules. 2022 Feb 16;27(4) PubMed PMID: 35209139.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Comparative Evaluation of Different Targeted and Untargeted Analytical Approaches to Assess Greek Extra Virgin Olive Oil Quality and Authentication. AU - Drakopoulou,Sofia, AU - Orfanakis,Emmanouil, AU - Karagiannaki,Ioulia, AU - Gaitis,Fragiskos, AU - Skoulika,Stavroula, AU - Papaioannou,Andreas, AU - Boukouvalas,George, AU - Petropoulos,George, AU - Katsoudas,Vassilios, AU - Kontzedaki,Renate, AU - Philippidis,Aggelos, AU - Zoumi,Aikaterini, AU - Dasenaki,Marilena, AU - Thomaidis,Nikolaos S, AU - Velegrakis,Michalis, Y1 - 2022/02/16/ PY - 2021/10/15/received PY - 2022/01/03/revised PY - 2022/02/15/accepted PY - 2022/2/25/entrez PY - 2022/2/26/pubmed PY - 2022/3/4/medline KW - FAMEs KW - HRMS KW - Raman KW - authenticity KW - extra virgin olive oil KW - fluorescence KW - machine learning KW - metabolomics KW - optical spectroscopy KW - variety identification KW - visible absorption JF - Molecules (Basel, Switzerland) JO - Molecules VL - 27 IS - 4 N2 - Extra virgin olive oil (EVOO) is a key component of the Mediterranean diet, with several health benefits derived from its consumption. Moreover, due to its eminent market position, EVOO has been thoroughly studied over the last several years, aiming at its authentication, but also to reveal the chemical profile inherent to its beneficial properties. In the present work, a comparative study was conducted to assess Greek EVOOs' quality and authentication utilizing different analytical approaches, both targeted and untargeted. 173 monovarietal EVOOs from three emblematic Greek cultivars (Koroneiki, Kolovi and Adramytiani), obtained during the harvesting years of 2018-2020, were analyzed and quantified as per their fatty acids methyl esters (FAMEs) composition via the official method (EEC) No 2568/91, as well as their bioactive content through liquid chromatography coupled to high resolution mass spectrometry (LC-HRMS) methodology. In addition to FAMEs analysis, EVOO samples were also analyzed via HRMS-untargeted metabolomics and optical spectroscopy techniques (visible absorption, fluorescence and Raman). The data retrieved from all applied techniques were analyzed with Machine Learning methods for the authentication of the EVOOs' variety. The models' predictive performance was calculated through test samples, while for further evaluation 30 commercially available EVOO samples were also examined in terms of variety. To the best of our knowledge, this is the first study where different techniques from the fields of standard analysis, spectrometry and optical spectroscopy are applied to the same EVOO samples, providing strong insight into EVOOs chemical profile and a comparative evaluation through the different platforms. SN - 1420-3049 UR - https://www.unboundmedicine.com/medline/citation/35209139/Comparative_Evaluation_of_Different_Targeted_and_Untargeted_Analytical_Approaches_to_Assess_Greek_Extra_Virgin_Olive_Oil_Quality_and_Authentication_ DB - PRIME DP - Unbound Medicine ER -