Evaluation of alignment methods and data pretreatments on the determination of the most important peaks for the discrimination of coffee varieties Arabica and Robusta using gas chromatography-mass spectroscopy

Analytica Chimica Acta

Volumn 678, Issue 2, 2010, Pages 160-168

  Hovell, A M C ^a   Pereira, E J ^a   Arruda, N P ^a   Rezende, C M ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Coffee analysis; Data pretreatment; Gas chromatography mass spectroscopy; Partial least squares discriminant analysis; Peak alignment; Variable selection

Indexed keywords

COFFEE ANALYSIS; DATA PRETREATMENT; PARTIAL LEAST SQUARES-DISCRIMINANT ANALYSIS; PEAK ALIGNMENT; VARIABLE SELECTION;

ALIGNMENT; CHROMATOGRAPHIC ANALYSIS; DATA HANDLING; DISCRIMINANT ANALYSIS; MASS SPECTROMETERS; MASS SPECTROMETRY; METADATA; MULTIVARIANT ANALYSIS; ORE ROASTING; SPECTRUM ANALYSIS;

GAS CHROMATOGRAPHY;

ALCOHOL; FURAN DERIVATIVE; PHENOL DERIVATIVE; PYRIDINE;

ARTICLE; AUTOMATION; CALIBRATION; COFFEE; COMPUTER PROGRAM; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; FOOD ANALYSIS; FOOD COMPOSITION; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MASS FRAGMENTOGRAPHY; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL;

AUTOMATION; BRAZIL; COFFEA; DISCRIMINANT ANALYSIS; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; LEAST-SQUARES ANALYSIS; MULTIVARIATE ANALYSIS; SEEDS; SPECIES SPECIFICITY; TIME FACTORS;

COFFEA CANEPHORA;

EID: 77957256906     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2010.08.029     Document Type: Article

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