Next Article in Journal
Conceptual Design and Energy Analysis of Integrated Combined Cycle Gasification System
Previous Article in Journal
The Inclusion of Forest Hydrological Services in the Sustainable Development Strategy of South Korea
Previous Article in Special Issue
Determination of the Suitability of Some American Grapevine Rootstocks as a New Edible Landscape Component of Vertical Gardens
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(8), 1471; doi:10.3390/su9081471

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

Department of Biological and Environmental Science and Technologies (Di.S.Te.B.A.), University of Salento, via Prov.le Lecce-Monteroni, 73100 Lecce, Italy
*
Author to whom correspondence should be addressed.
Received: 31 July 2017 / Revised: 14 August 2017 / Accepted: 16 August 2017 / Published: 19 August 2017
View Full-Text   |   Download PDF [3340 KB, uploaded 19 August 2017]   |  

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. View Full-Text
Keywords: 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 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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Girelli, C.R.; Del Coco, L.; Fanizzi, F.P. Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case Study. Sustainability 2017, 9, 1471.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top