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Evaluation of Nonstarch Polysaccharides and Oligosaccharide Content of Different Soybean Varieties(Glycine max)by Near-Infrared Spectroscopy and Proteomics

机译:应用近红外光谱和蛋白质组学技术评估大豆不同品种非淀粉多糖和寡糖含量

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摘要

A total of 832 samples of soybeans were screened by near-infrared(NIR)reflectance spectroscopy,to identify soybean samples with a lower content of oligosaccharides and nonstarch polysaccharides(NSP).Of these,38 samples were identified on the basis of variation in protein content and agronomic value and submitted to high-resolution NIR spectroscopy.On the basis of the NIR data,12 samples were further selected for chromatographic characterization of carbohydrate composition(mono-,di-,and oligosaccharides and NSP).Their soluble proteins were separated by two-dimensional gel electrophoresis(2DE).Using partial least-squares regression(PLSR),it was possible to predict the content of total NSP from the high-resolution NIR spectra,suggesting that NIR is a suitable and rapid nondestructive method to determine carbohydrate composition in soybeans.The 2DE analyses showed varying intensities of several proteins,including the glycinin G1 precursor.PLSR analysis showed a negative correlation between this protein and insoluble NSP and total uronic acid(UA).
机译:利用近红外反射光谱法对832份大豆样品进行了筛选,以鉴定出低聚糖和非淀粉多糖(NSP)含量较低的大豆样品,其中38份样品是根据蛋白质差异确定的在近红外光谱的基础上,进一步选择了12个样品进行碳水化合物成分(单糖,二糖,寡糖和NSP)的色谱表征,分离出可溶性蛋白。通过二维凝胶电泳(2DE)。使用偏最小二乘回归(PLSR),可以从高分辨率NIR光谱预测总NSP的含量,这表明NIR是一种快速,无损的快速测定方法2DE分析显示了几种蛋白质(包括大豆球蛋白G1前体)的强度变化.PLSR分析显示这种蛋白质和不溶的NSP和总糖醛酸(UA)。

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