Monitoring of heat-treated wheat milling fractions by near infrared spectroscopic method

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E. Izsó
M. Bartalné-Berceli
A. Salgó
S. Gergely


hydrothermal-treated and dry-treated, wheat flour, NIR, PCA, CA


Near infrared (NIR) technology is used effectively in the quality control field of cereal science and technology. The aim of this study is to elaborate on the usage of the near-infrared method for testing purposes, as well as on the recognition of the heat-treatment effects in the case of wheat milling fractions and changes in quality in these fractions. The heat treatment processes are being applied to increase the shelf life properties of products or to change the physical/rheological properties of goods. The wheat products and fractions examined in this study had been produced under industrial conditions The following products have been analysed: Hungarian wheat fraction (WF), Hungarian cake flour (CF) and aleurone-rich wheat flour (ARF). These basic flours were originated and produced by Gyermelyi Corp. flour mill. After that, the entire heat treatment process of WF, CF, ARF flour fractions were achieved and completed in cooperation of Bühler AG and Budapest University of Technology and Economics. The samples were collected based on the heat treatments, and involved hydrothermal and dry-thermal treated samples as well as untreated samples. The changes in the main chemical components (such as starch and protein) were analysed with dispersive spectrophotometers, using visible and NIR regions of the electromagnetic radiation with regards to the heat treatments. Close correlation has been established between the data of spectroscopic measurement techniques processed by various chemometric methods (e.g. principal component analysis, cluster analysis) and the types of treatments that were used. Not only differences caused by the milling technology and the heat treatment settings have been clearly observed, but also differences between the dry-thermal and the hydrothermal treatment. During this task, it became obvious that the NIR methods can detect the deviation in parameters of the heat treatments.

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American Association of Cereal Chemists (AACC), 1999. Approved methods of analysis, 11th edition. Methods: 08-01.01., 30-25.01., 46-30.01., 32-07.01. AACC International, St. Paul, MN, USA. Available at:
Bagdi, A., Szabó, F., Gere, A., Kókai, Z., Sipos, L. and Tömösközi, S., 2014. Effect of Aleurone-rich flour on composition, cooking, textural and sensory properties of pasta. LWT – Food Science and Technology 59(2): 996-1002.
Bucsella, B., Takács, Á., Vizer, V., Schwendener, U. and Tömösközi, S., 2016. Comparison of the effects of different heat treatment processes on rheological properties of cake and bread wheat flours. Food Chemistry 190: 990-996.
Cauvain, S.P., 2003. Bread making: improving quality. CRC Press, Boca Raton, FL, USA, 540 pp.
Centre for Agricultural Research, 2011. Cereal varieties from Martonvásár. Prebázis Ltd. and Elitmag Ltd. Hungarian Academy of Sciences, Martonvásár, Hungary, 2 pp.
Chiu, C.W., Schiermeyer, E., Thomas, D.J., Shah, M.B., Hanchett, D.J. and Jeffcoat, R., 1999. U.S. Patent 32(5): 009-017. Available at:
Chung, H.J., Min, D., Kim, J.Y. and Lim, S.T., 2007. Effect of minor addition of Xanthan on cross-linking of rice starches by dry heating with phosphate salts. Journal of Applied Polymer Science 105: 2280-2286.
Evans, A.J., Huang, S., Osborne, B.G., Kotwal, Z. and Wesley, I.J., 1999. Near infrared on-line measurement of degree of cook in extrusion processing of wheat flour. Journal of Near Infrared Spectroscopy7: 77-84.
Friedman, M., 1996. Food browning and its prevention: an overview. Journal of Agricultural and Food Chemistry 44: 631-653.
Gergely, S. and Salgó, A., 2007. Changes in protein content during wheat maturation – What is measured by NIR spectroscopy. Journal of Near Infrared Spectroscopy 15(1): 49-58.
Heise, H.M. and Winzen, R., 2002. Near-infrared spectroscopy: principles, instruments, applications. Wiley-VCH Verlag GmbH, Weinheim, Germany, 125 pp.
Hopkins, D.W., 2001. What is a Norris derivative? NIR News12: 3-5.
International Association for Cereal Chemistry (ICC), 1996. Rapid pasting method using the Newport rapid visco analyser. ICC Approved Method No. 162. ICC, Vienna, Austria. Available at:
Lásztity, R., 1999. Cereal chemistry. Akadémiai Publisher, Budapest, Hungary, 20 pp.
Lehtinen, P., Kiiliäinen, K., Lehtomäki, I. and Laakso, S., 2003. Effect of heat treatment on lipid stability in processed oats. Journal of Cereal Science 37: 215-221.
Martens, H. and Næs, T., 1991. Multivariate calibration. John Wiley and Sons Ltd., Hoboken, NJ, USA, 97 pp.
Miralbés, C., 2003. Prediction chemical composition and alveograph parameters on wheat by near-infrared transmittance spectroscopy. Journal of Agricultural and Food Chemistry 51: 6335-6339.
Norris, K.H., 1983. Food research and data analysis. Applied Science Publishers Ltd., London, UK, 95 pp.
Poji?, M., Mastilovi?, J. and Majcen, N., 2012. Infrared spectroscopy: life and biomedical sciences. Intech Publisher, Rijeka, Croatia, 167 pp.
Sayaslan, A., Seib, P.A. and Chung, O.K., 2006. Wet-milling properties of waxy wheat flours by two laboratory methods. Journal of Food Engineering 72: 167-178.
Shenk, J.S., Workman, J.J. and Westerhaus, M.O., 2007. Handbook of near-infrared analysis. CRC Press, Boca Raton, FL, USA.
Uddin, M., Ishizaki, S., Okazaki, E. and Tanaka, M., 2002. Near infrared reflectance spectroscopy for determining end-point temperature of heated fish and shellfish meats. Journal of the Science of Food and Agriculture82(3): 286-292.
Uddin, M., Okazaki, E., Uddin Ahmad, M., Fukuda, Y. and Tanaka, M., 2006. NIR spectroscopy: a non-destructive fast technique to verify heat treatment of fish-meat gel. Food Control 17: 660-664.
Vigni, M., Durante, C., Foca, G., Marchetti, A., Ulrici, A. and Cocchi, M., 2009. Near infrared spectroscopy and multivariate analysis methods for monitoring flour performance in an industrial bread-making process. Analytica Chimica Acta 642(1-2): 69-76.
Wold, S., Esbensen, K. and Geladi, P., 1987. Principal component analysis. Chemometrics and Intelligent Laboratory Systems 2: 37-52.