title: Implementation of physicochemical and sensory analysis in conjunction with multivariate analysis towards assessing olive oil authentication/adulteration.
abstract: The authenticity of products labeled as olive oils, and in particular as virgin olive oils, stands for a very important issue both in terms of its health and commercial aspects. In view of the continuously increasing interest in virgin olive oil therapeutic properties, the traditional methods of characterization and physical and sensory analysis were further enriched with more advanced and sophisticated methods such as HPLC-MS, HPLC-GC/C/IRMS, RPLC-GC, DEPT, and CSIA among others. The results of both traditional and "novel" methods were treated both by means of classical multivariate analysis (cluster, principal component, correspondence, canonical, and discriminant) and artificial intelligence methods showing that nowadays the adulteration of virgin olive oil with seed oil is detectable at very low percentages, sometimes even at less than 1%. Furthermore, the detection of geographical origin of olive oil is equally feasible and much more accurate in countries like Italy and Spain where databases of physical/chemical properties exist. However, this geographical origin classification can also be accomplished in the absence of such databases provided that an adequate number of oil samples are used and the parameters studied have "discriminating power."
authors.affiliation: University of Thessaly, School of Agricultural Sciences, Department of Agriculture Animal Production and Aquatic Environment, Volos, Hellas, Greece. parmenion@uth.gr
authors.forename: Ioannis S
authors.initials: IS
authors.lastname: Arvanitoyannis
authors.forename: Antonios
authors.initials: A
authors.lastname: Vlachos
mesh_terms: D000704:Analysis of Variance; D055598:Chemical Phenomena; D002627:Chemistry, Physical; D005227:Fatty Acids / Q000032:analysis; D005506:Food Contamination / Q000032:analysis*; D009682:Magnetic Resonance Spectroscopy; D019083:Mediterranean Region; D019216:Metals, Heavy / Q000032:analysis; D031658:Olea / Q000145:classification; D000069463:Olive Oil; D010636:Phenols / Q000032:analysis; D010860:Pigments, Biological / Q000032:analysis; D010938:Plant Oils / Q000032:analysis* / Q000145:classification; D030821:Plants, Genetically Modified; D011786:Quality Control; D012677:Sensation; D014835:Volatilization
chemical_list: D005227:Fatty Acids; D019216:Metals, Heavy; D000069463:Olive Oil; D010636:Phenols; D010860:Pigments, Biological; D010938:Plant Oils