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Rapid quantitative determination of oleuropein in olive leaves (Olea europaea) using mid-infrared spectroscopy combined with chemometric analyses |
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| Authors: | Fathia Aouidi Nathalie DupuyJacques Artaud Sevastianos RoussosMonji Msallem Isabelle Perraud GaimeMoktar Hamdi |
| Institution: | 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, University of Carthage, 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 Case 441, Faculté des Sciences et Technique Saint Jérôme, Université Paul Cézanne, 13397 Marseille cedex 20, France d Institut de l’olivier, BP 208, 1082 Tunis, Tunisia |
| Abstract: | Oleuropein, the major active compound in olive leaf, is well known for its benefits for human health. Oleuropein is classically quantified by HPLC, which is time and chemical consuming, laborious and expensive. The aim of this work was to examine the potential of mid-infrared spectroscopy, as a rapid tool, to predict oleuropein content in olive leaf from five Tunisian cultivars (Chemlali, Chetoui, Meski, Sayali and Zarrazi) and one French cultivar (Bouteillan). The reference data of oleuropein content were obtained by the HPLC method. Hundred five samples were analyzed by HPLC and mid-infrared spectroscopy. Samples were randomly divided in a calibration set (73 samples) and in a validation set (32 samples). The spectral data sets were correlated with reference data of oleuropein content by using partial least squares (PLS) regression algorithm. The results showed that the PLS model gave satisfactory model for quantitative prediction of oleuropein content in olive leaf (relative error of prediction = 8.5%). The correlation coefficient was 0.91 and 0.74 for calibration set and validation set, respectively. It can be concluded that mid-infrared spectroscopy constitutes a promising technique for rapid quantification of oleuropein in olive leaf. |
| Keywords: | Oleuropein Olive leaf (Olea europaea) Mid-infrared spectroscopy HPLC analysis Chemometric analysis |
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