Modeling for Metabonomic Fingerprint Assignment in Olive Fruits

Abstract

Metabonomics has been recently applied to a variety of studies in the agri-food field, mainly focused on adulteration identification and cultivar or geographical origin assessment. One-dimensional HR-NMR spectrum was acquired using a standard 1D pulse sequence (NOESYPRESAT) with water peak suppression. Two-dimension correlation spectroscopy analyses, 1H-1H 2D experiments (COSY90), were performed. ACD/LABS 8.00 software package was used to obtain simulated spectra from main components in olive, and minor components including those responsible for antioxidant characteristic and aromatics. The application of multivariate statistical techniques to a large HR-NMR spectra data base is the next step