%0 Journal Article
%T Prediction of the ash content of wheat flours using spectral and chemometric methods
%A ALINA MOROI
%A NICOLETA VARTOLOMEI
%A ALISA-VASILICA ARU£¿
%A ILENA DENISA NISTOR
%J Annals of the University Dunarea de Jos of Galati. Fascicle VI : Food Technology
%D 2011
%I Galati University Press
%X Fourier transform infrared (FTIR) spectroscopy has been considered an important method in evaluating structural properties of biomolecules. The assignment of the spectra indicated combination bands of the chemical bonds (O¨CH, C¨CH, C¨CC, etc.) that compose the chemical constituents of biomass. This paper presents, for several regional common wheat varieties (Triticum aestivum L.): Crina, Dropia, Flamura, Gruia, Haiduc and wheat from Vaslui area, the comparative analyses of the infrared absorption spectra for two spectral ranges: near-infrared (NIR) region, in the corresponding wavelength of 700-1000 nm, and middle-infrared (MIR) region, in the corresponding wavenumber 600-1600 cm-1. The positions of the characteristic absorption peaks were observed at 877.49 and 941.03 nm in NIR region and 756.50, 857.86, 929.75, 999.83, 1076.34, 1150.08, 1244.92, 1336.95, 1415.46 and 1538.35 cm-1 in MIR region. The information obtained from the analysis of NIR-MIR spectra is used to rapidly determine some of physicochemical parameters of the wheat species-specific part. The aim of this study is to apply FT-NIR and FT-MIR spectroscopy to correlate those signals by the StatCorr analyze. A fast technique such as chemometric analysis on the basis of NIR and MIR spectra was used to predict the amount of ash from the flour sample. R square of prediction model is 0.7 and Root Mean Square Error of Prediction (RMSEP) using two Principal Component PCs is 1.5 % which certifies the calibration model.
%K wheat
%K stretching bending
%K ash
%K chemometric
%U http://www.ann.ugal.ro/tpa/Annals%202011/vol%202/4%20Moroi%20et%20al.pdf