近红外光谱法测定不同厂家六味地黄丸中丹皮酚

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。

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

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.