Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case Study
In order to check the reliability of an NMR-based metabolomic approach to evaluating blend composition (and declaration), a series of 81 Italian/Tunisian blends samples at different percentage composition (from 10/90 to 90/10% Coratina/Tunisian oil by 10% increase step) were prepared starting from f...
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doaj-03f18161e4a741d2ae5906f4c06a4d0e2020-11-24T23:20:36ZengMDPI AGSustainability2071-10502017-08-0198147110.3390/su9081471su9081471Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case StudyChiara Roberta Girelli0Laura Del Coco1Francesco Paolo Fanizzi2Department of Biological and Environmental Science and Technologies (Di.S.Te.B.A.), University of Salento, via Prov.le Lecce-Monteroni, 73100 Lecce, ItalyDepartment of Biological and Environmental Science and Technologies (Di.S.Te.B.A.), University of Salento, via Prov.le Lecce-Monteroni, 73100 Lecce, ItalyDepartment of Biological and Environmental Science and Technologies (Di.S.Te.B.A.), University of Salento, via Prov.le Lecce-Monteroni, 73100 Lecce, ItalyIn order to check the reliability of an NMR-based metabolomic approach to evaluating blend composition (and declaration), a series of 81 Italian/Tunisian blends samples at different percentage composition (from 10/90 to 90/10% Coratina/Tunisian oil by 10% increase step) were prepared starting from five Coratina (Apulia) and five Tunisian extra virgin olive oil (EVOO) batches. Moreover, a series of nine binary mixtures blend oils were obtained, starting from the two batches’ oil sums. The models built showed the linear relationship between the NMR signals and the percentage composition of the blends. In particular, a high correlation with the percentage composition of blends was obtained from the partial least squares (PLS) regression model, when the two batches oil sums were used for the binary mixtures of blend samples. These proposed methods suggest that a multivariate analysis (MVA)-based NMR approach—in particular PLS regression (PLSR)—could be a very useful tool (including for trading purposes) to assess quantitative blend composition. This is important for the sustainability of the goods’ free movement, especially in the agrifood sector. This cornerstone policy of current common markets is also clearly linked to the availability of methods for certifying the origin of the foodstuffs and their use in the assembly of final product for the consumer.https://www.mdpi.com/2071-1050/9/8/1471extra virgin olive oilcommercial purpose1H-NMR spectroscopyEVOOs origin assessmentmultivariate statistical analysisPLSRprojections to latent structure by means of partial least squares regression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chiara Roberta Girelli Laura Del Coco Francesco Paolo Fanizzi |
spellingShingle |
Chiara Roberta Girelli Laura Del Coco Francesco Paolo Fanizzi Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case Study Sustainability extra virgin olive oil commercial purpose 1H-NMR spectroscopy EVOOs origin assessment multivariate statistical analysis PLSR projections to latent structure by means of partial least squares regression |
author_facet |
Chiara Roberta Girelli Laura Del Coco Francesco Paolo Fanizzi |
author_sort |
Chiara Roberta Girelli |
title |
Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case Study |
title_short |
Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case Study |
title_full |
Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case Study |
title_fullStr |
Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case Study |
title_full_unstemmed |
Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case Study |
title_sort |
tunisian extra virgin olive oil traceability in the eec market: tunisian/italian (coratina) evoos blend as a case study |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2017-08-01 |
description |
In order to check the reliability of an NMR-based metabolomic approach to evaluating blend composition (and declaration), a series of 81 Italian/Tunisian blends samples at different percentage composition (from 10/90 to 90/10% Coratina/Tunisian oil by 10% increase step) were prepared starting from five Coratina (Apulia) and five Tunisian extra virgin olive oil (EVOO) batches. Moreover, a series of nine binary mixtures blend oils were obtained, starting from the two batches’ oil sums. The models built showed the linear relationship between the NMR signals and the percentage composition of the blends. In particular, a high correlation with the percentage composition of blends was obtained from the partial least squares (PLS) regression model, when the two batches oil sums were used for the binary mixtures of blend samples. These proposed methods suggest that a multivariate analysis (MVA)-based NMR approach—in particular PLS regression (PLSR)—could be a very useful tool (including for trading purposes) to assess quantitative blend composition. This is important for the sustainability of the goods’ free movement, especially in the agrifood sector. This cornerstone policy of current common markets is also clearly linked to the availability of methods for certifying the origin of the foodstuffs and their use in the assembly of final product for the consumer. |
topic |
extra virgin olive oil commercial purpose 1H-NMR spectroscopy EVOOs origin assessment multivariate statistical analysis PLSR projections to latent structure by means of partial least squares regression |
url |
https://www.mdpi.com/2071-1050/9/8/1471 |
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