Open AccessNew possibilities to determine wheat quality parameters by near-infrared spectroscopy
Author(s) -
Éva Kónya,
Zoltán Győri
Publication year - 2010
Publication title -
acta agraria debreceniensis
Language(s) - English
Resource type - Journals
ISSN - 2416-1640
DOI - 10.34101/actaagrar/41/2682
Subject(s) - partial least squares regression , falling number , calibration , quality (philosophy) , near infrared spectroscopy , spectroscopy , falling (accident) , work (physics) , wheat flour , mathematics , analytical chemistry (journal) , environmental science , computer science , statistics , biological system , chemistry , optics , engineering , food science , physics , chromatography , biology , mechanical engineering , medicine , environmental health , quantum mechanics
Analyses and methods in wheat quality determination require more sample, time, work and cost, thatswhy flour quality control needs rapid, reliable tools. Near-infrared spectroscopy has many advantages, which make it suitable in quality control. NIR instruments need calibrations to their work. In our study we examined gluten content, falling number, valorigrpahic waterabsorption, alveographic P/L and W value of wheat samples. Modified partial least squares analyses on NIR spectra were developed for each property. The results show that we got such calibration modells, which are able to predict the properties (expect falling number) with enough accuracy.