首页> 外国专利> METHOD FOR DETERMINING WATER SOLUBLE PROTEIN CONTENT (WSPC) IN SOYBEAN BY NEAR INFRARED SPECTROSCOPY (NIRS)

METHOD FOR DETERMINING WATER SOLUBLE PROTEIN CONTENT (WSPC) IN SOYBEAN BY NEAR INFRARED SPECTROSCOPY (NIRS)

机译:近红外光谱法测定大豆中水溶性蛋白含量的方法

摘要

The present invention provides a method for determining a water soluble protein content (WSPC) in soybean by NIRS, and relates to the field of near infrared spectroscopy (NIRS). The method according to the present invention includes peeling off seed coat of to-be-tested soybean, and scanning the peeled soybean with a near infrared spectrometer to obtain an original spectrum, and substituting the original spectrum of the soybean into a model for predicting a WSPC in soybean to obtain the WSPC in soybean, where when the model for predicting a WSPC in soybean is constructed, the soybean is peeled, defatted and determined by a chemical method, the original spectrum is preprocessed by a plurality of methods, and a measured value and a predicted value are compared to evaluate a quantitative analysis model obtained by a PLS regression method. This improves the accuracy of the model for predicting a WSPC in soybean. The method according to the present invention solves a measurement error caused by a seed coat color difference. When the model for predicting a WSPC in soybean is constructed, the peeled soybean is defatted first, and the influence of fat particles on water soluble protein is removed, thereby obtaining a more accurate prediction model.
机译:本发明提供了一种通过近红外光谱法测定大豆中水溶性蛋白质含量(WSPC)的方法,并且涉及近红外光谱法(NIRS)领域。根据本发明的方法包括:剥去待测大豆的种皮,用近红外光谱仪扫描去皮的大豆以获得原始光谱,并将大豆的原始光谱代入用于预测大豆的模型。大豆中的WSPC以获得大豆中的WSPC,在构建大豆中WSPC的预测模型时,将大豆去皮,脱脂并通过化学方法确定,通过多种方法对原始光谱进行预处理,并进行测量。将值与预测值进行比较,以评估通过PLS回归方法获得的定量分析模型。这提高了预测大豆中WSPC的模型的准确性。根据本发明的方法解决了由种皮色差引起的测量误差。构建大豆WSPC预测模型时,首先将去皮的大豆脱脂,去除脂肪颗粒对水溶性蛋白质的影响,从而获得更准确的预测模型。

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