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Title: Non-destructive fluorescence spectroscopy as a tool for discriminating between olive oils according to agronomic practices and for assessing quality parameters
Authors: Martín Tornero, Elísabet
Fernández, Antonio
Pérez Rodríguez, Juan Manuel
Durán Martín-Merás, Isabel
Prieto Losada, María del Henar
Martín Vertedor, Daniel
Keywords: Olive oil;Excitation/emission matrices;PARAFAC (parallel factor analysis);PARAFAC-LDA (parallel factor analysis-linear discriminant analysis);U-PLS (unfolded-partial least squares);Aceite de oliva;Matrices de excitación/emisión;Análisis factorial paralelo (PARAFAC);Análisis factorial paralelo-análisis discriminante lineal (PARAFAC-LDA);Mínimos cuadrados parciales desplegados (U-PLS)
Issue Date: 2022
Publisher: Springer
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 olive oil varieties (Arbosana and Oliana) from two crop seasons, which had undergone two different irrigation treatments (control irrigation strategy and regulated deficit irrigation (RDI)), were recorded. EEMs were analysed using parallel factor analysis (PARAFAC), followed by linear discriminant analysis (LDA) incorporating three PARAFAC components. This analysis was able to discriminate between olive oils according to crop season (100% of predictions in the validation set were correct) and variety (100% of predictions were correct). Moreover, good discrimination (80% of correct predictions) was also achieved when examining olive oils belonging to the same variety but submitted to two different irrigation treatments. Further, the olive oil quality parameters obtained using conventional methods were compared with those obtained using unfolded partial least squares (U-PLS). Good correlation coefficients were obtained for Rancimat hours (r = 0.87), K270 (r = 0.75) and total polyphenol content (r = 0.94).
ISSN: 1936-9751
DOI: 10.1007/s12161-021-02112-2
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