近红外光谱在快速测定蛹虫草有效成分含量中的应用

Application of Near Infrared Spectroscopy on Rapid Determination of Essential Components for Cordyceps Militaris

采用偏最小二乘法(PLS)建立测定蛹虫草菌丝体中多糖、蛋白、虫草酸和腺苷含量的近红外光谱定量分析模型。选择了原始光谱建立蛹虫草菌丝体中腺苷和多糖含量的PLS定量分析模型,选择卷积光滑预处理后的光谱建立蛹虫草菌丝体中蛋白和虫草酸含量的PLS定量分析模型。测定蛹虫草菌丝体中多糖、蛋白、虫草酸和腺苷含量的最优PLS定量分析模型的交叉验证均方根误差(RMSECV)分别为0.0091,0.0222,0.0088和0.6520,预测均方根误差(RMSEP)分别为0.0079,0.0196,0.0087和0.5780。结果表明,测定蛹虫草菌丝体四种有效成分含量的定量分析模型稳健性好和预测精度高,在中药有效成分定量分析方面有很大的应用前景。

Partial least squares （PLS） method was applied to establish models with near infrared spectroscopy （NIRS） for quantitative analysis of polysaccharides,protein,cordycepic acid,adenosine content in cordyceps militaris mycelium. The origin spectra were used to establish the PLS models for quantitative analysis of adenosine and polysaccharides content in cordyceps militaris mycelium. The Savitzky-Golay smoothing spectra were applied to establish the PLS models for quantitative analysis of protein and cordycepic acid content. The values of root mean square error of cross-validation（RMSECV） of the most optimum PLS quantitative analysis models of polysaccharides,protein,cordycepic acid and adenosine were 0.0091,0.0222,0.0088 and 0.6520,the values of root mean square error of prediction（RMSEP） were 0.0079,0.0196,0.0087 and 0.5780. The results demonstrated that the quantitative analysis model for determining the four contents of cordyceps militaris mycelium possessed good stability and high precision. This method has great foreground in quantitative analysis of Chinese traditional medicine.