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

Q3 Agricultural and Biological Sciences Ecological genetics Pub Date : 2022-12-24 DOI:10.17816/ecogen108503
V. Khoreva, V. S. Popov, N. Kon’kova
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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 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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红外光谱法在燕麦品种筛选研究中的应用
背景:介绍了红外反射光谱快速评价不同类型燕麦生化参数的应用方法。根据VIR实验室获得的生化数据,构建了蛋白质、油脂和淀粉含量的标定模型。目的:建立一种近红外光谱(NIRS)快速测定燕麦种子主要生化参数的方法,并在传统方法的基础上建立MATRIX-I红外分析仪的校准模型,定量测定燕麦种子中蛋白质、油脂和淀粉的质量分数。材料与方法:研究了2015 - 2016年在俄罗斯联邦西北地区种植的膜燕麦(Avena sativa L.)种子的生化质量指标(蛋白质、油脂、淀粉)。为德国布鲁克光学公司(Bruker Optics)的MATRIX-I红外分析仪开发了测定燕麦种子(98个样品,收获2014 - 2015)中蛋白质、油和淀粉的校准模型。利用传统化学分析方法得到的值构建校准模型。燕麦籽油用索氏法测定,蛋白质用凯氏定氮法测定,淀粉用埃弗斯偏振法测定。所有指标均重新计算干重。结果与结论:以标定正确性为指标,对所建模型的可靠性进行了验证,并以试验批种子中蛋白质、油脂和淀粉含量的测定结果为依据。在MATRIX-I设备上使用校准曲线获得的数据与化学研究结果无显著差异。因此,校准可用于燕麦样品中蛋白质、油和淀粉含量的筛选分析。这种方法可以节省宝贵的材料,由于获取数据的速度而提高劳动生产率,不需要试剂并且安全。
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来源期刊
Ecological genetics
Ecological genetics Environmental Science-Ecology
CiteScore
0.90
自引率
0.00%
发文量
22
期刊介绍: The journal Ecological genetics is an international journal which accepts for consideration original manuscripts that reflect the results of field and experimental studies, and fundamental research of broad conceptual and/or comparative context corresponding to the profile of the Journal. Once a year, the editorial Board reviews and, if necessary, corrects the rules for authors and the journal rubrics.
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