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Chemometric Discrimination of the Geographical Origin of Three Greek Cultivars of Olive Oils by Stable Isotope Ratio Analysis
Α stable isotope ratio mass spectrometer was used for stable isotope ratio (i.e., δ(13)C, δ(18)O, and δ(2)H) measurements, achieving geographical discrimination using orthogonal projections to latent structures discriminant analysis. A total of 100 Greek monovarietal olive oil samples from three dif...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914497/ https://www.ncbi.nlm.nih.gov/pubmed/33557322 http://dx.doi.org/10.3390/foods10020336 |
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author | Tarapoulouzi, Maria Skiada, Vasiliki Agriopoulou, Sofia Psomiadis, David Rébufa, Catherine Roussos, Sevastianos Theocharis, Charis R. Katsaris, Panagiotis Varzakas, Theodoros |
author_facet | Tarapoulouzi, Maria Skiada, Vasiliki Agriopoulou, Sofia Psomiadis, David Rébufa, Catherine Roussos, Sevastianos Theocharis, Charis R. Katsaris, Panagiotis Varzakas, Theodoros |
author_sort | Tarapoulouzi, Maria |
collection | PubMed |
description | Α stable isotope ratio mass spectrometer was used for stable isotope ratio (i.e., δ(13)C, δ(18)O, and δ(2)H) measurements, achieving geographical discrimination using orthogonal projections to latent structures discriminant analysis. A total of 100 Greek monovarietal olive oil samples from three different olive cultivars (cv. Koroneiki, cv. Lianolia Kerkyras, and cv. Maurolia), derived from Central Greece and Peloponnese, were collected during the 2019–2020 harvest year aiming to investigate the effect of botanical and geographical origin on their discrimination through isotopic data. The selection of these samples was made from traditionally olive-growing areas in which no significant research has been done so far. Samples were discriminated mainly by olive cultivar and, partially, by geographical origin, which is congruent with other authors. Based on this model, correct recognition of 93.75% in the training samples and correct prediction of 100% in the test set were achieved. The overall correct classification of the model was 91%. The predictability based on the externally validated method of discrimination was good (Q(2) (cum) = 0.681) and illustrated that δ(18)O and δ(2)H were the most important isotope markers for the discrimination of olive oil samples. The authenticity of olive oil based on the examined olive varieties can be determined using this technique. |
format | Online Article Text |
id | pubmed-7914497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79144972021-03-01 Chemometric Discrimination of the Geographical Origin of Three Greek Cultivars of Olive Oils by Stable Isotope Ratio Analysis Tarapoulouzi, Maria Skiada, Vasiliki Agriopoulou, Sofia Psomiadis, David Rébufa, Catherine Roussos, Sevastianos Theocharis, Charis R. Katsaris, Panagiotis Varzakas, Theodoros Foods Article Α stable isotope ratio mass spectrometer was used for stable isotope ratio (i.e., δ(13)C, δ(18)O, and δ(2)H) measurements, achieving geographical discrimination using orthogonal projections to latent structures discriminant analysis. A total of 100 Greek monovarietal olive oil samples from three different olive cultivars (cv. Koroneiki, cv. Lianolia Kerkyras, and cv. Maurolia), derived from Central Greece and Peloponnese, were collected during the 2019–2020 harvest year aiming to investigate the effect of botanical and geographical origin on their discrimination through isotopic data. The selection of these samples was made from traditionally olive-growing areas in which no significant research has been done so far. Samples were discriminated mainly by olive cultivar and, partially, by geographical origin, which is congruent with other authors. Based on this model, correct recognition of 93.75% in the training samples and correct prediction of 100% in the test set were achieved. The overall correct classification of the model was 91%. The predictability based on the externally validated method of discrimination was good (Q(2) (cum) = 0.681) and illustrated that δ(18)O and δ(2)H were the most important isotope markers for the discrimination of olive oil samples. The authenticity of olive oil based on the examined olive varieties can be determined using this technique. MDPI 2021-02-04 /pmc/articles/PMC7914497/ /pubmed/33557322 http://dx.doi.org/10.3390/foods10020336 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tarapoulouzi, Maria Skiada, Vasiliki Agriopoulou, Sofia Psomiadis, David Rébufa, Catherine Roussos, Sevastianos Theocharis, Charis R. Katsaris, Panagiotis Varzakas, Theodoros Chemometric Discrimination of the Geographical Origin of Three Greek Cultivars of Olive Oils by Stable Isotope Ratio Analysis |
title | Chemometric Discrimination of the Geographical Origin of Three Greek Cultivars of Olive Oils by Stable Isotope Ratio Analysis |
title_full | Chemometric Discrimination of the Geographical Origin of Three Greek Cultivars of Olive Oils by Stable Isotope Ratio Analysis |
title_fullStr | Chemometric Discrimination of the Geographical Origin of Three Greek Cultivars of Olive Oils by Stable Isotope Ratio Analysis |
title_full_unstemmed | Chemometric Discrimination of the Geographical Origin of Three Greek Cultivars of Olive Oils by Stable Isotope Ratio Analysis |
title_short | Chemometric Discrimination of the Geographical Origin of Three Greek Cultivars of Olive Oils by Stable Isotope Ratio Analysis |
title_sort | chemometric discrimination of the geographical origin of three greek cultivars of olive oils by stable isotope ratio analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914497/ https://www.ncbi.nlm.nih.gov/pubmed/33557322 http://dx.doi.org/10.3390/foods10020336 |
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