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LC-MS based global metabolite profiling of grapes: solvent extraction protocol optimisation
Authors:Georgios Theodoridis  Helen Gika  Pietro Franceschi  Lorenzo Caputi  Panagiotis Arapitsas  Mattias Scholz  Domenico Masuero  Ron Wehrens  Urska Vrhovsek  Fulvio Mattivi
Institution:(1) Food Quality and Nutrition Department, Fondazione Edmund Mach, IASMA Research and Innovation Centre, via E. Mach, 1, 38010 San Michele all’Adige, Italy
Abstract:Optimal solvent conditions for grape sample preparation were investigated for the purpose of metabolite profiling studies, with the aim of obtaining as many features as possible with the best analytical repeatability. Mixtures of water, methanol and chloroform in different combinations were studied as solvents for the extraction of ground grapes. The experimental design used a two stage study to find the optimum extraction medium. The extracts obtained were further purified using solid phase extraction and analysed using a UPLC full scan TOF MS with both reversed phase and hydrophilic interaction chromatography. The data obtained were processed using data extraction algorithms and advanced statistical software for data mining. The results obtained indicated that a fairly broad optimal area for solvent composition could be identified, containing approximately equal amounts of methanol and chloroform and up to 20% water. Since the water content of the samples was variable, the robustness of the optimal conditions suggests these are appropriate for large scale profiling studies for characterisation of the grape metabolome.
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