Abstract

BACKGROUND: The infrared reflection spectroscopy application method for rapid assessment of biochemical parameters in various types of oats is shown. On the basis of the biochemical data obtained in the laboratory of VIR, calibration models of protein, oil and starch content were constructed.
 AIM: The aim of the study is to develop an express method of near-infrared spectroscopy (NIRS) spectroscopy to determine the main biochemical parameters in oat seeds and to build calibration models for the MATRIX-I IR analyser to quantify the mass fraction of protein, oil and starch in oat seeds based on data obtained by traditional methods.
 MATERIALS AND METHODS: Biochemical quality indicators (protein, oil, starch) were studied on seeds of filmy oats (Avena sativa L.) grown in 20152016 in the North-Western Region of the Russian Federation. Calibration models for the determination of protein, oil and starch in oat seeds (98 samples, harvest 20142015) were developed for the MATRIX-I IR analyzer by Bruker Optics (Germany). Values obtained by traditional chemical methods of analysis were used to construct calibration models. Oat seed oil was determined by the Soxlet method, protein by the Kjeldahl method, starch by the Evers polarimetric method. All indicators were recalculated for dry weight.
 RESULTS AND CONCLUSION: The reliability of the developed models was checked by the results of protein, oil and starch determination in the seeds of the test batch according to the indicator of the calibration correctness. The data obtained using the calibration curve on the MATRIX-I device had no significant differences with the results of chemical studies. Therefore, calibration can be used for screening analysis for protein, oil and starch content in oat samples. This method allows you to save valuable material, increase labour productivity due to the speed of obtaining data, does not require reagents and is safe.

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