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首页> 外文会议>IFIP WG 5.14 international conference on computer and computing technologies in agriculture >Research of Determination Method of Starch and Protein Content in Buckwheat by Mid-Infrared Spectroscopy
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Research of Determination Method of Starch and Protein Content in Buckwheat by Mid-Infrared Spectroscopy

机译：中红外光谱法测定荞麦中淀粉和蛋白质含量的方法研究

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摘要

Starch and proteins are the vital nutrients in buckwheat, to achieve the fast detection of the buckwheat internal composition has an important theoretical significance and application value for buckwheat breeding, processing and other steps. In the paper, forty buckwheat samples from different origins have been selected. The starch and protein content of buckwheat was determined, and the mid-infrared transmission spectrum of buckwheat has been obtained using Fourier mid-infrared spectroscopy. Forty samples were randomly divided into the prediction set and validation set with 30 and 10 samples respectively. After smoothing preprocessing, the prediction models of buckwheat starch and protein content have been established using the combination method of principal component analysis and artificial neural network, finally the models have been verified. The results showed that the correlation coefficient between the prediction value and measurement value of buckwheat starch content is 0.9029, and the relative error is smaller and its mean value is 2.33%, the method of the buckwheat starch content prediction is feasible. But the prediction for buckwheat protein content is not ideal, need to be further studied.
机译：淀粉和蛋白质是荞麦的重要营养物质，实现荞麦内部成分的快速检测对于荞麦的选育，加工等步骤具有重要的理论意义和应用价值。在本文中，选择了40个来自不同来源的荞麦样品。测定了荞麦的淀粉和蛋白质含量，并使用傅立叶中红外光谱法获得了荞麦的中红外透射光谱。将40个样本随机分为预测集和验证集，分别有30个和10个样本。经过平滑预处理，运用主成分分析和人工神经网络相结合的方法建立了荞麦淀粉和蛋白质含量的预测模型，并对模型进行了验证。结果表明，荞麦淀粉含量的预测值与实测值之间的相关系数为0.9029，相对误差较小，平均值为2.33％，是可行的。但是荞麦蛋白质含量的预测并不理想，需要进一步研究。

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