Non-destructive Fluorescence Spectroscopy as a Tool for Discriminating Between Olive Oils According to Agronomic Practices and for Assessing Quality Parameters

Abstract A non-destructive fluorescence method combined with chemometric algorithms has been developed for discriminating between olive oils. The excitation-emission matrices (EEMs) of two oil varieties (Arbosana and Oliana) from crop seasons, which had undergone different irrigation treatments (control strategy regulated deficit (RDI)), were recorded. EEMs analysed using parallel factor analysis (PARAFAC), followed by linear discriminant (LDA) incorporating three PARAFAC components. This was able to discriminate oils according season (100% predictions in the validation set correct) variety correct). Moreover, good discrimination (80% correct predictions) also achieved when examining belonging same but submitted treatments. Further, quality parameters obtained conventional methods compared those unfolded partial least squares (U-PLS). Good correlation coefficients Rancimat hours ( r = 0.87), K 270 0.75) total polyphenol content 0.94).