Czech J. Food Sci., 2005, 23(4):145-151 | DOI: 10.17221/3384-CJFS

Prediction of wheat milling characteristics by near-infrared reflectance spectroscopy

Jaroslav Blažek, Ondřej Jirsa, Marie Hrušková
Department of Carbohydrate Chemistry and Technology, Faculty of Food and Biochemical Technology, Institute of Chemical Technology Prague, Prague, Czech Republic

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

Published: August 31, 2005  Show citation

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Blažek J, Jirsa O, Hrušková M. Prediction of wheat milling characteristics by near-infrared reflectance spectroscopy. Czech J. Food Sci. 2005;23(4):145-151. doi: 10.17221/3384-CJFS.
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    References

    1. DELWICHE S.R., WEAVER G. (1994): Bread quality of wheat flour by near-infrared spectrophotometry: feasibility of modelling. Journal of Food Science, 59: 410-415. Go to original source...
    2. DOWELL F.E. (1998): Automated color classification of single wheat kernels using visible and near-infrared reflectance. Cereal Chemistry, 75: 142-144. Go to original source...
    3. DUPONCHEL L., RUCKEBUSCH C., HUVENNE J.P., LEGRAND P. (1999): Standardisation of near infrared spectrometers using artificial neural networks. Journal of Near Infrared Spectroscopy, 7: 155-166. Go to original source...
    4. GOTTLIEB D.M., SCHULTZ J., BRUUN S.W., JACOBSEN S., SØNDERGAARD I. (2004): Multivariate approaches in plant science. Phytochemistry, 65: 1531-1548. Go to original source... Go to PubMed...
    5. MAGHIRANG E.B., DOWELL F.E. (2003): Hardness measurement of bulk wheat by single-kernel visible and nearinfrared reflectance spectroscopy. Cereal Chemistry, 80: 316-322. Go to original source...
    6. MIRALBÉS C. (2004): Quality control in the milling industry using near-infrared transmittance spectroscopy. Food Chemistry, 88: 621-628. Go to original source...
    7. NIELSEN J.P., BERTRAND D., MICKLANDER E., COURCOUX P., MUNCK L. (2001): Study of NIR spectra, particle size distributions and chemical parameters of wheat flours: a multi-way approach. Journal of Near Infrared Spectroscopy, 9, 275-284. Go to original source...
    8. OSBORNE B.G. (1984): Investigations into the use of near infrared reflectance spectroscopy for the quality assessment of wheat with respect to its potential for bread baking. Journal of the Science of Food and Agriculture, 35: 106-110. Go to original source...
    9. OSBORNE B.G., KOTWAL Z., WESLEY I.J., SAUNDERS L., DARDENNE P., SHENK J.S. (1999): Optical matching of near infrared reflectance monochromator instruments for the analysis of ground and whole wheat. Journal of Near Infrared Spectroscopy, 7: 167-178. Go to original source...
    10. OSBORNE B.G. (2000): Recent developments in NIR analysis of grains and grain products. Cereal Foods World, 45: 11-15.
    11. PAWLINSKY T., WILLIAMS P. (1998): Prediction of wheat bread-baking functionality in whole kernels, using near infrared reflectance spectroscopy. Journal of Near Infrared Spectroscopy, 6: 121-127. Go to original source...
    12. RUBENTHALER G.L., POMERANZ Y. (1987): Near-infrared reflectance spectra of hard red winter wheats varying widely in protein content and breadmaking potential. Cereal Chemistry, 64: 407-411.
    13. WESLEY I.J., LARSEN N., OSBORNE B.G., SKERRITT J.H. (1998): Non-invasive monitoring of dough mixing by near infrared spectroscopy. Journal of Cereal Science, 27: 61-69. Go to original source...
    14. WESLEY I.J., UTHAYAKUMARAN S., ANDERSSEN R.S., CORNISH G.B., BEKES F., OSBORNE B.G., SKERRITT J.H. (1999): A curve-fitting approach to the near infrared reflectance measurement of wheat flour proteins which influence dough quality. Journal of Near Infrared Spectroscopy, 7: 229-240. Go to original source...
    15. WESLEY I.J., LARROQUE O., OSBORNE B.G., AZUDIN N., ALLEN H., SKERRITT J.H. (2001): Measurement of gliadin and glutenin content of flour by NIR spectroscopy. Journal of Cereal Science, 34: 125-133. Go to original source...
    16. WILLIAMS P.C., JABY EL-HARAMEIN F., ORTIZ-FEREIRA G., SRIVASTAVA J.P. (1988): Preliminary observations on the determination of wheat strength by near infrared spectroscopy. Cereal Chemistry, 65: 109-114.

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