title: Instrumental and multivariate statistical analyses for the characterisation of the geographical origin of Apulian virgin olive oils.
abstract: In this paper, virgin olive oils (VOOs) coming from three different geographic origins of Apulia, were analysed for free acidity, peroxide value, spectrophotometric indexes, chlorophyll content, sterol, fatty acid, and triacylglycerol compositions. In order to predict the geographical origin of VOOs, different multivariate approaches were applied. By performing principal component analysis (PCA) a modest natural grouping of the VOOs was observed on the basis of their origin, and consequently three supervised techniques, i.e., general discriminant analysis (GDA), partial least squares-discriminant analysis (PLS-DA) and soft independent modelling of class analogy (SIMCA) were used and the results were compared. In particular, the best prediction ability was produced by applying GDA (average prediction ability of 82.5%), even if interesting results were obtained also by applying the other two classification techniques, i.e., 77.2% and 75.5% for PLS-DA and SIMCA, respectively.
authors: Dipartimento di Chimica, Campus Universitario, Università di Bari, Via Orabona 4, 70126 Bari, Italy. Electronic address: longobardi@chimica.uniba.it.
authors: F
authors: F
authors: Longobardi
authors: Dipartimento di Chimica, Campus Universitario, Università di Bari, Via Orabona 4, 70126 Bari, Italy.
authors: A
authors: A
authors: Ventrella
authors: Dipartimento di Chimica, Campus Universitario, Università di Bari, Via Orabona 4, 70126 Bari, Italy.
authors: G
authors: G
authors: Casiello
authors: Dipartimento di Chimica, Campus Universitario, Università di Bari, Via Orabona 4, 70126 Bari, Italy.
authors: D
authors: D
authors: Sacco
authors: Dipartimento di Chimica, Campus Universitario, Università di Bari, Via Orabona 4, 70126 Bari, Italy; IPCF-CNR, sez. Bari, Via Orabona 4, 70126 Bari, Italy.
authors: L
authors: L
authors: Catucci
authors: Dipartimento di Chimica, Campus Universitario, Università di Bari, Via Orabona 4, 70126 Bari, Italy; IPCF-CNR, sez. Bari, Via Orabona 4, 70126 Bari, Italy; INSTM, Via G. Giusti 9, 50121 Firenze, Italy.
authors: A
authors: A
authors: Agostiano
authors: Laboratory of Food Chemistry and Technology, Department of Chemistry, University of Ioannina, P.O. Box 1186, 45110 Ioannina, Greece.
authors: M G
authors: MG
authors: Kontominas
mesh_terms: D002734:Chlorophyll / Q000032:analysis; D016002:Discriminant Analysis; D005227:Fatty Acids / Q000032:analysis; D005843:Geography; D007558:Italy; D016018:Least-Squares Analysis; D015999:Multivariate Analysis; D000069463:Olive Oil; D010938:Plant Oils / Q000737:chemistry*; D025341:Principal Component Analysis; D011786:Quality Control; D014280:Triglycerides / Q000032:analysis
chemical_list: D005227:Fatty Acids; D000069463:Olive Oil; D010938:Plant Oils; D014280:Triglycerides; D002734:Chlorophyll
keywords: Geographical origin; Multivariate statistical analysis; Oil quality parameters; Virgin olive oil