A fast chemometric procedure based on NIR data for authentication of honey with protected geographical indication

Food Chemistry

Volumn 141, Issue 4, 2013, Pages 3559-3565

  Latorre, C Herrero ^a   Crecente, R M Peña ^a   Martín, S García ^a   García, J Barciela ^a  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

Authentication system; Chemometric procedures; Honey; Nir

Indexed keywords

AUTHENTICATION; CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; CRIME; FEEDFORWARD NEURAL NETWORKS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; METADATA; MULTILAYER NEURAL NETWORKS; NEAREST NEIGHBOR SEARCH; PARTICLE SIZE; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; WATER ANALYSIS;

AUTHENTICATION SYSTEMS; CHEMOMETRIC PROCEDURES; CHEMOMETRIC TECHNIQUES; DISCRIMINANT PARTIAL LEAST SQUARES; HONEY; MULTILAYER FEEDFORWARD NEURAL NETWORKS; PATTERN RECOGNITION TECHNIQUES; STANDARD NORMAL VARIATE TRANSFORMATIONS;

FOOD PRODUCTS;

ARTICLE; CHEMOMETRIC ANALYSIS; CHEMOMETRICS; CONTROLLED STUDY; HONEY; K NEAREST NEIGHBOR; NEAR INFRARED SPECTROSCOPY; PARTICLE SIZE; STANDARD;

AUTHENTICATION SYSTEM; CHEMOMETRIC PROCEDURES; HONEY; NIR;

FOOD CONTAMINATION; GEOGRAPHY; HONEY; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, NEAR-INFRARED;

EID: 84884667358     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2013.06.022     Document Type: Article

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