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Buckwheat identification by combination of UV-VIS-NIR spectroscopy and multivariate analysis
Abstract
The application of UV-VIS-NIR spectroscopy combined with multivariate analysis for the classification and identification of buckwheat groats was analyzed. Samples of buckwheat groats differing in harvest time, kernel size, roasting method and storage time were divided into groups using cluster analysis method. Method of principal components revealed absorption bands of the UV-VIS-NIR spectrum, corresponding to the functional groups of the components of the composition and making the greatest contribution to the differentiation of samples into the quality categories of buckwheat. The method of discriminant analysis confirmed the hypothesis on dividing the samples of buckwheat into groups, and a classification function for the identification and sorting of buckwheat was built.
About the Authors
Yu. T. Platov
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Moscow
D. A. Metlenkin
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Moscow
R A. Platova
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Moscow
V. A. Rassulov
All-Russian Scientific-Research Institute of Mineral Resources named after N. M. Fedorovsky
Russian Federation
Russian Federation
Moscow
A. L. Vereshchagi
Biysk Technological Institute is a Subsidiary of Polzunov Altai State Technical University
Russian Federation
Russian Federation
Biysk
V. A. Marin
Biysk Technological Institute is a Subsidiary of Polzunov Altai State Technical University
Russian Federation
Russian Federation
Biysk
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Review
For citations:
Platov Yu.T., Metlenkin D.A., Platova R.A., Rassulov V.A., Vereshchagi A.L., Marin V.A. Buckwheat identification by combination of UV-VIS-NIR spectroscopy and multivariate analysis. Zhurnal Prikladnoii Spektroskopii. 2021;88(4):541-549. (In Russ.)
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