Near infrared spectroscopy: An analytical tool to predict coffee roasting degree

Analytica Chimica Acta

Volumn 625, Issue 1, 2008, Pages 95-102

  Alessandrini, Laura ^a   Romani, Santina ^a   Pinnavaia, Giangaetano ^a   Rosa, Marco Dalla ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Cluster analysis; Coffee beans; Near infrared spectroscopy; Partial least square regression; Roasting

Indexed keywords

CALIBRATION; CORRELATION METHODS; CURVE FITTING; FOOD PROCESSING; FORECASTING; INFRARED DEVICES; INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; SPECTROSCOPIC ANALYSIS;

ANALYTICAL TOOLS; CALIBRATION MODELS; CLUSTER ANALYSIS; COFFEE BEANS; CORRELATION CO-EFFICIENT; HIGH-ACCURACY; NEAR INFRARED SPECTROSCOPY; NEAR-INFRARED SPECTROSCOPIES; NEAR-INFRARED SPECTRUM; NIR SPECTRUM; NIR TECHNIQUES; NON-DESTRUCTIVE; PARTIAL LEAST SQUARE REGRESSION; PLS REGRESSION; PREDICTED VALUES; RELIABLE MODELING; ROASTED COFFEE; ROASTING; ROOT MEAN SQUARE ERRORS; SPECTRAL DATA; WEIGHT LOSSES;

CALCINATION;

ACCURACY; ARTICLE; CALIBRATION; COFFEE; CORRELATION COEFFICIENT; NEAR INFRARED SPECTROSCOPY; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL;

CALIBRATION; COFFEE; COOKERY; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROPHOTOMETRY, INFRARED; TIME FACTORS;

EID: 49549102186     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2008.07.013     Document Type: Article

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