Details

Autor(en) / Beteiligte

• Aouidi, Fathia
• Dupuy, Nathalie
• Artaud, Jacques
• Roussos, Sevastianos
• Msallem, Monji
• Perraud-Gaime, Isabelle
• Hamdi, Moktar

Titel

Discrimination of five Tunisian cultivars by Mid InfraRed spectroscopy combined with chemometric analyses of olive Olea europaea leaves

Ist Teil von

• Food chemistry, 2012-03, Vol.131 (1), p.360-366

Ort / Verlag

Kidlington: Elsevier Ltd

Erscheinungsjahr

2012

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• ► Olive leaves, persistent tissue the whole year, are analysed by MIR spectroscopy. ► Five olive cultivars are discriminated by PCA of MIR spectra provided by leaf. ► PLS DA allows to correct classification (100%) of five olive cultivars by analysing leaf. ► MIR spectroscopy can be used for identifying olive cultivar by analysing leaves. 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.