Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case Study

Chiara Roberta Girelli, Laura Del Coco and Francesco Paolo Fanizzi
Additional contact information
Chiara Roberta Girelli: Department of Biological and Environmental Science and Technologies (Di.S.Te.B.A.), University of Salento, via Prov.le Lecce-Monteroni, 73100 Lecce, Italy
Laura Del Coco: Department of Biological and Environmental Science and Technologies (Di.S.Te.B.A.), University of Salento, via Prov.le Lecce-Monteroni, 73100 Lecce, Italy
Francesco Paolo Fanizzi: Department of Biological and Environmental Science and Technologies (Di.S.Te.B.A.), University of Salento, via Prov.le Lecce-Monteroni, 73100 Lecce, Italy

Sustainability, 2017, vol. 9, issue 8, 1-11

Abstract: 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.

Keywords: extra virgin olive oil; commercial purpose; 1 H-NMR spectroscopy; EVOOs origin assessment; multivariate statistical analysis; PLSR; projections to latent structure by means of partial least squares regression (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/9/8/1471/pdf (application/pdf)
https://www.mdpi.com/2071-1050/9/8/1471/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:9:y:2017:i:8:p:1471-:d:108913

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().