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Determination of the Protein Content in Cordyceps militaris by Near Infrared Spectroscopy Quantitative Model Based on Partial Least Squares Method

机译:基于偏最小二乘的近红外光谱定量模型测定虫草中蛋白质含量

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Partial least squares (PLS) method was applied to establish models with near infrared spectroscopy (NIRS) for quantitative analysis of protein content in Cordyceps militaris. Varies pretreating spectra methods were used for conversion of near infrared spectra in order to remove the noise in spectra. The pretreated spectra were applied to develop PLS quantitative analysis models respectively. Each model was optimized by selecting the most suitable number of factors. The most optimum model was selected depend on the root mean squares of calibration sets calculate by cross-validation (RMSECV) and the root mean squares of predicted sets (RMSEP). RMSECV of the optimum model was 0.0199. Using the optimum model for determination of protein content in Cordyceps militaris, RMSEP was 0.0145.
机译:应用偏最小二乘(PLS)方法建立了近红外光谱(NIRS)模型,对quantitative虫草中的蛋白质含量进行了定量分析。为了消除光谱中的噪声,使用了多种预处理光谱方法来转换近红外光谱。将预处理后的光谱分别用于建立PLS定量分析模型。通过选择最合适的因素数来优化每个模型。选择最佳模型的依据是通过交叉验证计算的校准集的均方根(RMSECV)和预测集的均方根(RMSEP)。最佳模型的RMSECV为0.0199。使用确定determination虫草蛋白质含量的最佳模型,RMSEP为0.0145。

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