Assessing the varietal origin of extra-virgin olive oil using liquid chromatography fingerprints of phenolic compound, data fusion and chemometrics

Food Chemistry

Volumn 215, Issue , 2017, Pages 245-255

  Bajoub, Aadil ^a   Medina Rodríguez, Santiago ^a   Gómez Romero, María ^b   Ajal, El Amine ^c   Bagur González, María Gracia ^a   Fernández Gutiérrez, Alberto ^a   Carrasco Pancorbo, Alegría ^a  

^a UNIVERSITY OF GRANADA   (Spain)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c Provincial Department of Agriculture of Azilal   (Morocco)

Author keywords

Chemometrics; Data fusion; High performance liquid chromatography; Monovarietal extra virgin olive oils; Phenolic compounds fingerprints; Varietal origin

Indexed keywords

CHROMATOGRAPHY; CLASSIFICATION (OF INFORMATION); DATA FUSION; DISCRIMINANT ANALYSIS; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; LEAST SQUARES APPROXIMATIONS; LIQUIDS; NEAREST NEIGHBOR SEARCH; OLIVE OIL; PALMPRINT RECOGNITION; PATTERN RECOGNITION; PHENOLS; PRINCIPAL COMPONENT ANALYSIS;

CHEMOMETRICS; CHROMATOGRAPHIC FINGERPRINTING; EXTRA VIRGIN OLIVE OIL; PARTIAL LEAST SQUARES DISCRIMINANT ANALYSES (PLSDA); PHENOLIC COMPOUNDS; SOFT INDEPENDENT MODELING OF CLASS ANALOGIES; SUPERVISED PATTERN RECOGNITION; VARIETAL ORIGIN;

LIQUID CHROMATOGRAPHY;

EXTRA VIRGIN OLIVE OIL; PHENOL DERIVATIVE; OLIVE OIL;

ARTICLE; CHEMOMETRIC ANALYSIS; CHEMOMETRICS; DIODE ARRAY DETECTION; FLUORESCENCE; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; K NEAREST NEIGHBOR; MACHINE LEARNING; PARTIAL LEAST SQUARES REGRESSION; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SOFT INDEPENDENT MODELING CLASS ANALOGIES; CHEMISTRY; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; PROCEDURES;

CHROMATOGRAPHY, HIGH PRESSURE LIQUID; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; OLIVE OIL; PHENOLS; PRINCIPAL COMPONENT ANALYSIS;

EID: 84982703211     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2016.07.140     Document Type: Article

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