Prediction of wheat milling characteristics by near-infrared reflectance spectroscopy
Jaroslav Blažek,
Ondřej Jirsa and
Marie Hrušková
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Jaroslav Blažek: Department of Carbohydrate Chemistry and Technology, Faculty of Food and Biochemical Technology, Institute of Chemical Technology Prague, Prague, Czech Republic
Ondřej Jirsa: Department of Carbohydrate Chemistry and Technology, Faculty of Food and Biochemical Technology, Institute of Chemical Technology Prague, Prague, Czech Republic
Marie Hrušková: Department of Carbohydrate Chemistry and Technology, Faculty of Food and Biochemical Technology, Institute of Chemical Technology Prague, Prague, Czech Republic
Czech Journal of Food Sciences, 2005, vol. 23, issue 4, 145-151
Abstract:
The aim of this study was to explore the use of NIR spectroscopy of laboratory milled flour to predict the milling characteristics of wheat. Quantitative traits of the milling process of wheat were predicted by analyses of NIR spectra of six sets consisting of 94 samples. Reference data were obtained by grinding the samples on the laboratory mill Chopin CD1-auto (France), spectral data were measured on spectrograph NIRSystem 6500. Commercial spectral analysis software WINISI II was used to collect spectra, develop calibration equations and evaluate calibration performance. The quality of prediction was evaluated by coefficients of correlation between the measured and the predicted values from cross and independent validation. MPLS/PLS regression and ANN methods were used. A statistically significant dependence (at the probability level of 99%) was determined for all traits studied in the case of cross-validation. Satisfactory accuracy of the prediction models by independent validation was achieved only for semolina extraction rate, models for other characteristics did not show acceptable precision.
Keywords: wheat flour; prediction; NIR spectroscopy; NIRSystem 6500; milling characteristics (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjf:v:23:y:2005:i:4:id:3384-cjfs
DOI: 10.17221/3384-CJFS
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