Application of the IR spectrometry method in the screening study of various oat species

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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 2015–2016 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 2014–2015) 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.

About the authors

Valentina I. Khoreva

Federal Research Center N.I. Vavilov All-Russian Institute of Plant Genetic Resources

Email: horeva43@mail.ru
ORCID iD: 0000-0003-2762-2777
SPIN-code: 5796-4637

Cand. Sci. (Engineering), Leading Research Associate, Department of biochemistry of Molecular Biology

Russian Federation, Saint Petersburg

Vitaliy S. Popov

Federal Research Center N.I. Vavilov All-Russian Institute of Plant Genetic Resources

Email: v.popov@vir.nw.ru
ORCID iD: 0000-0003-3274-7662
SPIN-code: 1753-0807

Cand. Sci. (Med.), Senior Research Associate, Department of biochemistry of Molecular Biology

Russian Federation, Saint Petersburg

Nina G. Kon'kova

Federal Research Center N.I. Vavilov All-Russian Institute of Plant Genetic Resources

Author for correspondence.
Email: ninakonkova.1@mail.ru
ORCID iD: 0000-0002-4920-3904
SPIN-code: 8691-1803

Research Associate, Oil and Fibre Crops Department

Russian Federation, Saint Petersburg

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Supplementary files

Supplementary Files
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2. Fig. 1. IR spectra of the studied oat grain samples

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3. Fig. 2. Graph of predicted values of protein content in oats compared with the true values of protein conten of the Oat_Protein calibration model

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4. Fig. 3. Graph of predicted values of oil content in oats compared with the true values of oil content of the Oat_O il calibration model

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5. Fig. 4. Graph of predicted starch content values in oats compared to the true starch content values of the Oat_Starch calibration model

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Copyright (c) 2022 Khoreva V.I., Popov V.S., Kon'kova N.G.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
 


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