6533b853fe1ef96bd12ac374

RESEARCH PRODUCT

Rapid Evaluation of Oxidized Fatty Acid Concentration in Virgin Olive Oils Using Metal Oxide Semiconductor Sensors and Multiple Linear Regression

Lorenzo CerretaniErnesto F. Simó-alfonsoMaría Jesús Lerma-garcíaAlessandra Bendini

subject

MULTIPLE LINEAR REGRESSIONBiosensing TechniquesVIRGIN OLIVE OILMetalOxide semiconductorVIRGIN OLIVE OILSMETAL OXIDE SEMICONDUCTOR SENSORSLinear regressionPlant OilsOrganic chemistryValidation errorOlive Oilchemistry.chemical_classificationChromatographyElectronic noseOXIDATIVE STATUSFatty AcidsELECTRONIC NOSEFatty acidOxidesGeneral ChemistryOXIDIZED FATTY ACIDSVegetable oilSemiconductorschemistryvisual_artLinear Modelsvisual_art.visual_art_mediumGeneral Agricultural and Biological SciencesOxidation-ReductionOlive oil

description

This works aims to set up a rapid and nondestructive method to evaluate the advanced oxidation of virgin olive oils (VOOs). An electronic nose based on an array of six metal oxide semiconductor sensors was used, jointly with multiple linear regression (MLR), to predict the oxidized fatty acid (OFA) concentration in VOO samples characterized by different oxidative status. An MLR model constructed using five predictors was able to predict OFA concentration with an average validation error of 9%.

yearjournalcountryeditionlanguage
2009-10-28
10.1021/jf901763nhttp://hdl.handle.net/11585/77950