Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical Approaches
Geographical origin assessment of extra virgin olive oil (EVOO) is recognised worldwide as raising consumers’ awareness of product authenticity and the need to protect top-quality products. The need for geographical origin assessment is also related to mandatory legislation and/or the obligations of...
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MDPI AG
2022-01-01
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Series: | Foods |
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Online Access: | https://www.mdpi.com/2304-8158/11/1/113 |
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author | Francesca Calò Chiara Roberta Girelli Selina C. Wang Francesco Paolo Fanizzi |
author_facet | Francesca Calò Chiara Roberta Girelli Selina C. Wang Francesco Paolo Fanizzi |
author_sort | Francesca Calò |
collection | DOAJ |
description | Geographical origin assessment of extra virgin olive oil (EVOO) is recognised worldwide as raising consumers’ awareness of product authenticity and the need to protect top-quality products. The need for geographical origin assessment is also related to mandatory legislation and/or the obligations of true labelling in some countries. Nevertheless, official methods for such specific authentication of EVOOs are still missing. Among the analytical techniques useful for certification of geographical origin, nuclear magnetic resonance (NMR) and mass spectroscopy (MS), combined with chemometrics, have been widely used. This review considers published works describing the use of these analytical methods, supported by statistical protocols such as multivariate analysis (MVA), for EVOO origin assessment. The research has shown that some specific countries, generally corresponding to the main worldwide producers, are more interested than others in origin assessment and certification. Some specific producers such as Italian EVOO producers may have been focused on this area because of consumers’ interest and/or intrinsic economical value, as testified also by the national concern on the topic. Both NMR- and MS-based approaches represent a mature field where a general validation method for EVOOs geographic origin assessment could be established as a reference recognised procedure. |
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issn | 2304-8158 |
language | English |
last_indexed | 2024-03-10T03:41:53Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
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series | Foods |
spelling | doaj.art-d02017a53301436a81d87cddacbb65ef2023-11-23T11:31:39ZengMDPI AGFoods2304-81582022-01-0111111310.3390/foods11010113Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical ApproachesFrancesca Calò0Chiara Roberta Girelli1Selina C. Wang2Francesco Paolo Fanizzi3Department of Biological and Environmental Sciences and Technologies, University of Salento, Strada Provinciale Lecce Monteroni, 73100 Lecce, ItalyDepartment of Biological and Environmental Sciences and Technologies, University of Salento, Strada Provinciale Lecce Monteroni, 73100 Lecce, ItalyDepartment of Food Science and Technology, University of California Davis, One Shields Avenue, Davis, CA 95616, USADepartment of Biological and Environmental Sciences and Technologies, University of Salento, Strada Provinciale Lecce Monteroni, 73100 Lecce, ItalyGeographical origin assessment of extra virgin olive oil (EVOO) is recognised worldwide as raising consumers’ awareness of product authenticity and the need to protect top-quality products. The need for geographical origin assessment is also related to mandatory legislation and/or the obligations of true labelling in some countries. Nevertheless, official methods for such specific authentication of EVOOs are still missing. Among the analytical techniques useful for certification of geographical origin, nuclear magnetic resonance (NMR) and mass spectroscopy (MS), combined with chemometrics, have been widely used. This review considers published works describing the use of these analytical methods, supported by statistical protocols such as multivariate analysis (MVA), for EVOO origin assessment. The research has shown that some specific countries, generally corresponding to the main worldwide producers, are more interested than others in origin assessment and certification. Some specific producers such as Italian EVOO producers may have been focused on this area because of consumers’ interest and/or intrinsic economical value, as testified also by the national concern on the topic. Both NMR- and MS-based approaches represent a mature field where a general validation method for EVOOs geographic origin assessment could be established as a reference recognised procedure.https://www.mdpi.com/2304-8158/11/1/113extra virgin olive oilgeographical originmetabolomicsnuclear magnetic resonance (NMR) spectroscopymass spectrometrymolecular fingerprinting |
spellingShingle | Francesca Calò Chiara Roberta Girelli Selina C. Wang Francesco Paolo Fanizzi Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical Approaches Foods extra virgin olive oil geographical origin metabolomics nuclear magnetic resonance (NMR) spectroscopy mass spectrometry molecular fingerprinting |
title | Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical Approaches |
title_full | Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical Approaches |
title_fullStr | Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical Approaches |
title_full_unstemmed | Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical Approaches |
title_short | Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical Approaches |
title_sort | geographical origin assessment of extra virgin olive oil via nmr and ms combined with chemometrics as analytical approaches |
topic | extra virgin olive oil geographical origin metabolomics nuclear magnetic resonance (NMR) spectroscopy mass spectrometry molecular fingerprinting |
url | https://www.mdpi.com/2304-8158/11/1/113 |
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