Aouidi F. auteur aut IRD Dupuy N. auteur aut IRD Artaud J. auteur aut IRD Roussos Sevastianos auteur aut IRD Msallem M. auteur aut IRD Perraud Gaime Isabelle auteur aut IRD Hamdi M. auteur aut IRD text journalArticle eng text/pdf born digital access 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 Chetoui) 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. specialized Olive (Olea europaea) leaf ATR-Mid InfraRed spectroscopy Chemometric analysis Cultivar Discrimination Chemical fingerprint TUNISIE 054 020 076 131 1 360-366 2012 0308-8146 https://www.documentation.ird.fr/hor/fdi:010054262 10.1016/j.foodchem.2011.08.041 0308-8146 [F B010054262] https://www.documentation.ird.fr/hor/fdi:010054262 https://www.documentation.ird.fr/intranet/publi/2012/01/010054262.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2012-02-01 2017-08-23 fdi:010054262 fre