近红外光谱法测定不同厂家六味地黄丸中丹皮酚

Content Determination of Paeonol in Liuwei Dihuang Pills from Different Manufacturers by Near-Infrared Spectroscopy

目的:应用近红外光谱法(NIRS)对六味地黄丸中丹皮酚的含量进行快速测定。方法:采集不同厂家不同批号六味地黄丸样品的近红外光谱图,以HPLC测定值为参考,结合偏最小二乘法(PLS)建立丹皮酚定量校正模型。结果:经内部交叉验证,所建模型的相关系数(R2)为0.952 1,内部交叉验证均方差(RMSECV)为0.020 93;经外部验证集样品验证,该模型的预测均方差(RMSEP)为0.099 74,平均回收率为100.38%。结论:该预测模型准确可靠,可用于六味地黄丸中丹皮酚含量的检测,实现大批量样品的快速分析。

Objective： To determine fast the content of paeonol in Liuwei Dihuang pills from different manufacturers by near-infrared spectroscopy（NIRS）.Method： Near-infrared spectra of different batch of Liuwei Dihuang pills from different manufacturers were collected.Based on the reference values measured with HPLC,the quantitative calibration model of paeonol was built with near-Infrared spectrometry combined with partial least squares（PLS）.Result： The internal cross validation proved that the correlation coefficient（R2） was 0.952 1 and the root-mean-square error of cross-validation（RMSECV） was 0.020 93;By the verification of the external validation samples,the root-mean-square error of prediction（RMSEP） was 0.099 7 and the average recovery was 100.38%.Conclusion： The predicting model was accurate and credible.The proposed method could be used in predicting the content of paeonol in Liuwei Dihuang pills.The simple,fast and non-destructive NIRS combined with PLS can provide a new approach to determine rapidly the content of paeonol in large numbers of samples.