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dc.contributor.authorMartín Tornero, Elísabet-
dc.contributor.authorFernández, Antonio-
dc.contributor.authorPérez Rodríguez, Juan Manuel-
dc.contributor.authorDurán Martín-Merás, Isabel-
dc.contributor.authorPrieto Losada, María del Henar-
dc.contributor.authorMartín Vertedor, Daniel-
dc.description.abstractA 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).es_ES
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Antonio Fernández thanks Junta de Extremadura and European Social Fund for the Garantia Juvenil contract (reference: TE-0078–19) at the CICYTEX-INTAEX research centre. Isabel Duran thanks the financial support received from the Ministerio de Ciencia e Innovación of Spain (Project PID2020-112996GB-100) and by Junta de Extremadura (Project IB20016 and Research Group FQM003), both co-financed by the Fondo Europeo de Desarrollo Regional.es_ES
dc.format.extent13 p.es_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.subjectOlive oiles_ES
dc.subjectExcitation/emission matriceses_ES
dc.subjectPARAFAC (parallel factor analysis)es_ES
dc.subjectPARAFAC-LDA (parallel factor analysis-linear discriminant analysis)es_ES
dc.subjectU-PLS (unfolded-partial least squares)es_ES
dc.subjectAceite de olivaes_ES
dc.subjectMatrices de excitación/emisiónes_ES
dc.subjectAnálisis factorial paralelo (PARAFAC)es_ES
dc.subjectAnálisis factorial paralelo-análisis discriminante lineal (PARAFAC-LDA)es_ES
dc.subjectMínimos cuadrados parciales desplegados (U-PLS)es_ES
dc.titleNon-destructive fluorescence spectroscopy as a tool for discriminating between olive oils according to agronomic practices and for assessing quality parameterses_ES
dc.subject.unesco3309.28 Aceites y Grasas Vegetaleses_ES
dc.subject.unesco2301 Química Analíticaes_ES
dc.subject.unesco2209.04 Espectroscopia de Emisiónes_ES
europeana.dataProviderUniversidad de Extremadura. Españaes_ES
dc.identifier.bibliographicCitationMartín-Tornero, E., Fernández, A., Pérez-Rodriguez, J.M. et al. Non-destructive Fluorescence Spectroscopy as a Tool for Discriminating Between Olive Oils According to Agronomic Practices and for Assessing Quality Parameters. Food Anal. Methods 15, 253–265 (2022).
dc.contributor.affiliationCentro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX)es_ES
dc.contributor.affiliationUniversidad de Extremadura. Departamento de Química Analíticaes_ES
dc.contributor.affiliationUniversidad de Extremadura. Departamento de Ingeniería del Medio Agronómico y Forestal-
dc.contributor.affiliationUniversidad de Extremadura. Instituto Universitario de Investigación de Recursos Agrarios (INURA)-
dc.contributor.affiliationCentro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX). Instituto Tecnológico Agroalimentario de Extremadura (INTAEX)-
dc.identifier.publicationtitleFood Analytical Methodses_ES
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