近红外漫反射光谱法测定麦冬的多糖含量

采用近红外光谱分析技术对麦冬多糖进行定量分析.对麦冬的原始漫反射光谱采用了一阶导数、二阶导数、平滑、散射校正等多种光谱解析手段,初步选择了建模波段,并结合偏最小二乘回归法对麦冬多糖进行了定标建模分析.结果表明,光谱经过一阶导数+标准乘性散射校正(MSC)+SG平滑处理,选取4 000～4 900,5 100～6 900,7 050～10 000 cm-1波段建模得到的定标模型效果最佳,分析结果精度较高,R2,RMSEC,R2CV,RMSECV,主因子数分别为0.996,0.237,0.973,0.583,6.模型经过验证样品集检验,预测相关系数达到0.968 8.

Analysis of POlysaccharides Contents in Ophiopogon daponicus by NIR

In the present paper the polysaccharides in Ophiopogon japonicus was analysed quantitatively by using near infrared spectroscopy. The spectral characteristics of the primary ingredients in ophiopogonis were obtained by applying first derivative, second derivative, smoothing,SNV (standard normal variate), and MSC (multiple scatter correction), and the wavelengths were selected for the best model. Meantime, in combination with the PLS algorithm the calibration process was performed for the quantitative analysis of the polysaccharides in Ophiopogonjaponicus. The result showed that after optimizing all the factors, the best model of equation was using ＂first derivative＂+＂MSC＂+＂SG＂, and the wavelengths for the best model were selected in 4 000-4 900, 5 100-6 900 and 7 050-10 000 cm^-1. The result showed a fine precision of the method, with R^2, RMSEC, R^2cv, RMSECV and principal factors being 0. 996, 0. 237, 0. 973, 0. 583 and 6, respectively. A set of representative samples were used to check the model, and the prediction coefficient of determination was 96.88%.