Modeling excitation-emission fluorescence matrices with pattern recognition algorithms for classification of Argentine white wines according grape variety

Food Chemistry

Volumn 184, Issue , 2015, Pages 214-219

  Azcarate, Silvana M ^a   De Araújo Gomes, Adriano ^b   Alcaraz, Mirta R ^c   Ugulino De Araújo, Mário C ^b   Camiña, José M ^a   Goicoechea, Héctor C ^c  

^a UNIVERSIDAD NACIONAL DE LA PAMPA   (Argentina)

^b FEDERAL UNIVERSITY OF PARAÍBA   (Brazil)

^c UNIVERSIDAD NACIONAL DEL LITORAL   (Argentina)

Author keywords

Excitation emission matrices; N PLS DA; SIMCA; SPA LDA; U PLS DA; White wine

Indexed keywords

ALGORITHMS; PATTERN RECOGNITION;

EXCITATION EMISSION FLUORESCENCE; EXCITATION EMISSION MATRICES; PARALLEL FACTOR ANALYSIS; PATTERN RECOGNITION ALGORITHMS; SENSITIVITY AND SPECIFICITY; SIMCA; SPA-LDA; WHITE WINES;

PRINCIPAL COMPONENT ANALYSIS;

ACCURACY; ARTICLE; CHEMOMETRICS; CLASSIFICATION ALGORITHM; EXCITATION; FACTORIAL ANALYSIS; FLUORESCENCE; GRAPE; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY; WHITE WINE; ALGORITHM; ANALYSIS; CHEMISTRY; DISCRIMINANT ANALYSIS; PROCEDURES; VITIS; WINE;

VITACEAE;

ALGORITHMS; DISCRIMINANT ANALYSIS; FACTOR ANALYSIS, STATISTICAL; FLUORESCENCE; PRINCIPAL COMPONENT ANALYSIS; VITIS; WINE;

EID: 84926360666     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2015.03.081     Document Type: Article

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