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Discrimination of five Tunisian cultivars by Mid InfraRed spectroscopy combined with chemometric analyses of olive Olea europaea leaves |
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| Authors: | Fathia Aouidi Nathalie DupuyJacques Artaud Sevastianos RoussosMonji Msallem Isabelle Perraud-GaimeMoktar Hamdi |
| Affiliation: | a Laboratory of Microbial Ecology and Technology, Department of Biological and Chemical Engineering, National Institute of Applied Sciences and Technology (INSAT), Centre Urbain Nord, 2 Boulevard de la Terre, B.P. 676, 1080 Tunis, Tunisia b ISM2, UMR 6263, Equipe AD2EM, Groupe systèmes chimiques complexes, Faculté des Sciences et Technique Saint Jérôme - Université Paul Cézanne, 13397 Marseille Cedex 20, France c IMEP UMR CNRS 6116/IRD UMR 193, Faculté des Sciences et Technique Saint Jérôme - Université Paul Cézanne, 13397 Marseille Cedex 20, France d Institut de l’olivier, B.P. 208, 1082 Tunis, Tunisia |
| Abstract: | The high biodiversity of olive tree and the economic needs require tools for the correct classification and identification of the different cultivars. Simple and rapid methods are in increasing demand. In the present work, FT-MIR spectroscopy associated to chemometric treatment is proposed as a direct and rapid tool to discriminate cultivars according to their olive leaves, a persistent tissue the whole year. A set of 75 samples of olive leaves representative of five Tunisian cultivars (Chemlali, Sayali, Meski, Zarrazi and Chétoui) cultivated in the same geographical area was analysed. Discrimination between the five Tunisian cultivars was performed by the chemometric approach, principal component analysis (PCA), based on the FT-MIR spectral data provided by olive leaves. Furthermore, a correct classification (100%) of the five Tunisian cultivars was obtained by the Partial Least Square Discriminate Analysis (PLS-DA) method. |
| Keywords: | Olive (Olea europaea) leaf ATR-Mid InfraRed spectroscopy Chemometric analysis Cultivar Discrimination Chemical fingerprint |
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