Near-infrared prediction of milling and baking parameters of wheat varieties

• Published in: Journal of food engineering Vol. 87; no. 1; pp. 21 - 25
• Main Authors: Jirsa, Ondřej, Hrušková, Marie, Švec, Ivan
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Oxford Elsevier Ltd 01.07.2008; [New York, NY]: Elsevier Science Pub. Co; Elsevier
• Subjects: Baking; baking quality; Biological and medical sciences; Cereal and baking product industries; Computer programs; cultivars; Dough; Extraction; Flour; Food engineering; Food industries; Fundamental and applied biological sciences. Psychology; General aspects; milling; milling quality; model food systems; near-infrared spectroscopy; NIR; prediction; qualitative analysis; Regression analysis; Rheology; Sedimentation; Spectra; Spectroscopy; Wheat; wheat flour; Spectroscopy; Dough; Rheology; Wheat; NIR; Near infrared spectrometry; Prediction; Cereal; Variety; Baking; Grain milling; Rheological properties
• ISSN: 0260-8774; 1873-5770
• DOI: 10.1016/j.jfoodeng.2007.09.008

In wheat and flour processing many traits have to be investigated for quality control. However, conventional methods available for technological quality assessment of wheat grain and flour are generally tedious and/or requiring expensive equipment. To overcome these drawbacks in common use, alternative methods using spectroscopy have been developed. The objective of this study was to utilize near-infrared reflectance spectroscopy (NIR) to analysis of milling and baking parameters: flour extraction, protein content, Zeleny sedimentation, deformation energy, gas volume and baking volume. Samples including Czech and international varieties were collected from a field experiments (crop years 2002–2005) and laboratory milled on Chopin CD1. Spectra were acquired on a scanning monochromator NIRSystems 6500 in the range from 400 to 2500 nm. Calibration equations were obtained both with classical and modified partial least square (PLS) regression analysis of conventional laboratory analysis values on 168 selected NIR spectra using WinISI computer software. Those were externally validated with additional samples from commercial wheats. Prediction of flour extraction, Zeleny sedimentation and protein content in particular gave a very good accuracy. The results indicate that NIRS can also determine some rheological traits (deformation energy, gas volume and specific loaf volume) at least with a screening performance.