Comparison between NIR, MIR, concatenated NIR and MIR analysis and hierarchical PLS model. Application to virgin olive oil analysis

Analytica Chimica Acta

Volumn 666, Issue 1-2, 2010, Pages 23-31

  Dupuy, N ^a   Galtier, O ^a   Ollivier, D ^b   Vanloot, P ^a   Artaud, J ^a  

^a AIX MARSEILLE UNIVERSITY   (France)

^b Service Commun des Laboratoires des Finances   (France)

Author keywords

Concatenated matrix; Discriminant analysis; Hierarchical partial least square; Infrared; Partial least square; Virgin olive oils

Indexed keywords

EXTRA VIRGIN OLIVE OIL; HIERARCHICAL PARTIAL LEAST SQUARE; MATRIX; MID-INFRARED SPECTROSCOPY; MIR SPECTROSCOPY; MULTIBLOCKS; NEAR INFRA RED; NIR SPECTROSCOPY; PARTIAL LEAST SQUARES; PLS MODELS; PREDICTION ERRORS; QUANTITATIVE ANALYSIS; SPECTRAL RANGE; TRIACYLGLYCEROLS; VIRGIN OLIVE OIL;

DISCRIMINANT ANALYSIS; FATTY ACIDS; GLYCEROL; INFRARED DEVICES; INFRARED SPECTROSCOPY; NEAR INFRARED SPECTROSCOPY; VEGETABLE OILS;

SPECTRUM ANALYSIS;

FATTY ACID DERIVATIVE; OLIVE OIL; TRIACYLGLYCEROL;

ANALYTICAL ERROR; ARTICLE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; FATTY ACID ANALYSIS; INTERMETHOD COMPARISON; NEAR INFRARED SPECTROSCOPY; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS;

EID: 77952551172     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2010.03.034     Document Type: Article

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