title: Identifying and Quantifying Adulterants in Extra Virgin Olive Oil of the Picual Varietal by Absorption Spectroscopy and Nonlinear Modeling.
abstract: In this research, the detection and quantification of adulterants in one of the most common varieties of extra virgin olive oil (EVOO) have been successfully carried out. Visible absorption information was collected from binary mixtures of Picual EVOO with one of four adulterants: refined olive oil, orujo olive oil, sunflower oil, and corn oil. The data gathered from the absorption spectra were used as input to create an artificial neural network (ANN) model. The designed mathematical tool was able to detect the type of adulterant with an identification rate of 96% and to quantify the volume percentage of EVOO in the samples with a low mean prediction error of 1.2%. These significant results make ANNs coupled with visible spectroscopy a reliable, inexpensive, user-friendly, and real-time method for difficult tasks, given that the matrices of the different adulterated oils are practically alike.
authors.affiliation: Departamento de Ingenierı́a Quı́mica, Facultad de Ciencias Quı́micas, Universidad Complutense de Madrid, 28040 Madrid, Spain.
authors.forename: Regina
authors.initials: R
authors.lastname: Aroca-Santos
authors.affiliation: Departamento de Ingenierı́a Quı́mica, Facultad de Ciencias Quı́micas, Universidad Complutense de Madrid, 28040 Madrid, Spain.
authors.forename: John C
authors.initials: JC
authors.lastname: Cancilla
authors.affiliation: Departamento de Ingenierı́a Quı́mica, Facultad de Ciencias Quı́micas, Universidad Complutense de Madrid, 28040 Madrid, Spain.
authors.forename: Gemma
authors.initials: G
authors.lastname: Matute
authors.affiliation: Departamento de Ingenierı́a Quı́mica, Facultad de Ciencias Quı́micas, Universidad Complutense de Madrid, 28040 Madrid, Spain.
authors.forename: José S
authors.initials: JS
authors.lastname: Torrecilla
mesh_terms: D003314:Corn Oil / Q000737:chemistry; D005506:Food Contamination / Q000032:analysis*; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D000069463:Olive Oil / Q000737:chemistry*; D010938:Plant Oils / Q000737:chemistry; D013057:Spectrum Analysis; D000074242:Sunflower Oil
chemical_list: D000069463:Olive Oil; D010938:Plant Oils; D000074242:Sunflower Oil; D003314:Corn Oil
keywords: Picual varietal; adulterations; extra virgin olive oil; neural networks; visible spectroscopy