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A Multi-Methodological Protocol to Characterize PDO Olive Oils
An analytical approach including Panel Test, Isotope Ratio Mass Spectrometry (IRMS) and Nuclear Magnetic Resonance (NMR) spectroscopy was proposed to characterize Italian “Colline Pontine” PDO olive oils (40 samples) of two consecutive crop years. Our approach has evidenced the high quality of these...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160970/ https://www.ncbi.nlm.nih.gov/pubmed/30060576 http://dx.doi.org/10.3390/metabo8030043 |
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author | Circi, Simone Ingallina, Cinzia Vista, Silvia Capitani, Donatella Di Vecchia, Andrea Leonardi, Genesio D’Achille, Giovanni Centauri, Luigi Camin, Federica Mannina, Luisa |
author_facet | Circi, Simone Ingallina, Cinzia Vista, Silvia Capitani, Donatella Di Vecchia, Andrea Leonardi, Genesio D’Achille, Giovanni Centauri, Luigi Camin, Federica Mannina, Luisa |
author_sort | Circi, Simone |
collection | PubMed |
description | An analytical approach including Panel Test, Isotope Ratio Mass Spectrometry (IRMS) and Nuclear Magnetic Resonance (NMR) spectroscopy was proposed to characterize Italian “Colline Pontine” PDO olive oils (40 samples) of two consecutive crop years. Our approach has evidenced the high quality of these olive oils. Only 6 of 40 olive oils samples were defined as “defective” by the official Panel Test due to the detection of negative sensory attributes. The low variability of isotopic data monitored by IRMS confirmed that the olive oil samples all came from a limited geographical area. NMR spectra did not evidence any chemical composition anomaly in the investigated samples. In order to assess the influence of harvesting year over the olive oil chemical composition, the NMR analysis was extended to other 22 olive oil samples of a third harvesting year. NMR data were submitted to two different statistical methods, namely, analysis of variance (ANOVA) and principal component analysis (PCA) allowing olive oils of three consecutive harvesting years to be grouped. |
format | Online Article Text |
id | pubmed-6160970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61609702018-09-28 A Multi-Methodological Protocol to Characterize PDO Olive Oils Circi, Simone Ingallina, Cinzia Vista, Silvia Capitani, Donatella Di Vecchia, Andrea Leonardi, Genesio D’Achille, Giovanni Centauri, Luigi Camin, Federica Mannina, Luisa Metabolites Article An analytical approach including Panel Test, Isotope Ratio Mass Spectrometry (IRMS) and Nuclear Magnetic Resonance (NMR) spectroscopy was proposed to characterize Italian “Colline Pontine” PDO olive oils (40 samples) of two consecutive crop years. Our approach has evidenced the high quality of these olive oils. Only 6 of 40 olive oils samples were defined as “defective” by the official Panel Test due to the detection of negative sensory attributes. The low variability of isotopic data monitored by IRMS confirmed that the olive oil samples all came from a limited geographical area. NMR spectra did not evidence any chemical composition anomaly in the investigated samples. In order to assess the influence of harvesting year over the olive oil chemical composition, the NMR analysis was extended to other 22 olive oil samples of a third harvesting year. NMR data were submitted to two different statistical methods, namely, analysis of variance (ANOVA) and principal component analysis (PCA) allowing olive oils of three consecutive harvesting years to be grouped. MDPI 2018-07-28 /pmc/articles/PMC6160970/ /pubmed/30060576 http://dx.doi.org/10.3390/metabo8030043 Text en © 2018 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 Circi, Simone Ingallina, Cinzia Vista, Silvia Capitani, Donatella Di Vecchia, Andrea Leonardi, Genesio D’Achille, Giovanni Centauri, Luigi Camin, Federica Mannina, Luisa A Multi-Methodological Protocol to Characterize PDO Olive Oils |
title | A Multi-Methodological Protocol to Characterize PDO Olive Oils |
title_full | A Multi-Methodological Protocol to Characterize PDO Olive Oils |
title_fullStr | A Multi-Methodological Protocol to Characterize PDO Olive Oils |
title_full_unstemmed | A Multi-Methodological Protocol to Characterize PDO Olive Oils |
title_short | A Multi-Methodological Protocol to Characterize PDO Olive Oils |
title_sort | multi-methodological protocol to characterize pdo olive oils |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160970/ https://www.ncbi.nlm.nih.gov/pubmed/30060576 http://dx.doi.org/10.3390/metabo8030043 |
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