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建立高良姜药材中高良姜索含量的近红外光谱定量分析模型,实现药材中高良姜素的含量的快速测定方法,采用高效液相色谱法测定130批药材中高良姜素的含量,采集近红外光谱数据并用多元散射校正法、二阶导数法、Savitzky-Golay平滑法预处理,结合偏最小二乘法建立高良姜中高良姜素含量的定量分析模型,对所建模型进行了内部交叉验证和外部预测验证,并对模型进行了重复性考察。对于所建立的高良姜素近红外光谱定量分析模型,内部交叉验证决定系数达到0.9868,校正均方差为0.0529,预测均方差为0.0625,内部交叉验证均方差为0.0975,交叉检验和外部检验RPD均大于3。表明该模型稳定、准确可靠,可应用于高良姜中高良姜素的含量测定。
To establish a rapid quantitative method for the determination of galangin in Medicago sativa by HPLC and to determine the content of galangin in 130 samples of medicinal herbs by high performance liquid chromatography The spectral data were analyzed by multivariate scatter correction method, second-order derivative method and Savitzky-Golay smoothing method. The quantitative analysis model of galangin content in Alpinia officinarum was established by partial least squares method. The model was internally cross-validated and externally Forecast and verification, and repeated the study of the model. For the established galangin NIR quantitative analysis model, the internal cross validation coefficient was 0.9868, the corrected mean square deviation was 0.0529, the predicted mean square deviation was 0.0625, the internal cross validation mean square deviation was 0.0975. The cross test and external test RPD were both greater than 3. The results show that the model is stable, accurate and reliable and can be applied to the determination of galangin in galangal.