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Article Dans Une Revue Acta Horticulturae Année : 2017

Infrared Spectroscopy for the Characterization and Quality Control of Moringa Oleifera : a Multivariate Approach

Résumé

Moringa oleifera is known for its nutritional and therapeutic potential. This potential is linked to the chemical composition whose variability according to the ecological characteristics and development processes (from harvesting to packaging) can be significant. The influence of parameters such as altitude, weather conditions (temperature, humidity, precipitation), parts of the plant used as well as the influence of the processes for extracting active compounds, the quality of the finished product and/or its maturity level can be apprehended by statistical studies of analytical data. The ultimate goal is to use spectroscopy to ensure the quality control and traceability of different M. oleifera samples. Preliminary results on the mineral contents of Moringa plant parts (leaf, stem, bark and flower) show a differentiation depending on the geographical origin (arid zone or wetland). The use of spectroscopic technics associated to chemometric treatments allowed the differentiation of plant parts (leaf, stem and flower) on the basis of their chemical composition and gave informations on the quality of the process (ratio leaf/stem in a powder of dry material or water content for example). Water content of leaves is an important parameter during harvesting, drying, storage or industrial processing for the evaluation and the control of spoilage risks if leaves are used as food commodity. Sorption isotherms of M. oleifera leaf powders were used as models to give informations about their humidity equilibrium and their shelf life if they are used as dietary supplement. To achieve our goal, we depend on the validation of a large and representative sampling by local experts.
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hal-01779184 , version 1 (26-04-2018)

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Catherine Rébufa, Inès Pany, Nathalie Dupuy, Isabelle Bombarda. Infrared Spectroscopy for the Characterization and Quality Control of Moringa Oleifera : a Multivariate Approach. Acta Horticulturae, 2017, 1158_45, pp.397-404. ⟨10.17660/ActaHortic.2017.1158.45⟩. ⟨hal-01779184⟩
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