Chen Qi-Lan
Zhangzhou Pien Tze Huang Pharmaceutical Co.,Ltd. Zhangzhou 363000,China.
Zhongguo Zhong Yao Za Zhi. 2019 Apr;44(8):1596-1600. doi: 10.19540/j.cnki.cjcmm.20190318.305.
Near infrared spectroscopy(NIRS) was used for rapid quantitative analysis of saponins in Pien Tze Huang troches and powders. The near infrared spectra of Pien Tze Huang were collected,and the contents of notoginsenoside R1,ginsenoside Rg1 and ginsenoside Rb1 in Pien Tze Huang were determined by high performance liquid chromatography(HPLC) as the reference values. Then the near infrared spectra of the samples were associated with the reference values to establish the quantitative analysis models by using partial least squares(PLS) method. Finally,the models were verified by unknown samples. The results showed that root mean square error of cross-validation(RMSECV) of R1,Rg1,Rb1 and the total content was 0.095 1,0.555,0.414,0.960 mg·g-1 for the troches models,0.085 6,0.443,0.405,0.913 mg·g-1 for the powders models. After external validations,root mean square error of prediction(RMSEP) of R1,Rg1,Rb1 and the total content was 0.111,0.274,0.276,0.807 mg·g-1 for the troches models,0. 059 2,0. 322,0. 327,0. 705 mg·g-1 for the powders models. The averages of relative standard deviation between the predicted values and the chemical measured values were all less than 2.0%. According to the results of paired-t tests at the level of α = 0.05,there were no significant differences between the predicted values and the measured values. The established quantitative analysis models can be used to predict the contents of saponins in Pien Tze Huang accurately and the proposed method is simple,fast,non-destructive and environmentally friendly for the rapid detection and quality control of saponins in Pien Tze Huang.
采用近红外光谱法(NIRS)对片仔癀含片和散剂中的皂苷进行快速定量分析。收集片仔癀的近红外光谱,并通过高效液相色谱法(HPLC)测定片仔癀中三七皂苷R1、人参皂苷Rg1和人参皂苷Rb1的含量作为参考值。然后将样品的近红外光谱与参考值进行关联,采用偏最小二乘法(PLS)建立定量分析模型。最后,用未知样品对模型进行验证。结果表明,含片模型中R1、Rg1、Rb1和总含量的交叉验证均方根误差(RMSECV)分别为0.095 1、0.555、0.414、0.960 mg·g-1,散剂模型中分别为0.085 6、0.443、0.405、0.913 mg·g-1。外部验证后,含片模型中R1、Rg1、Rb1和总含量的预测均方根误差(RMSEP)分别为0.111、0.274、0.276、0.807 mg·g-1,散剂模型中分别为0.059 2、0.322、0.327、0.705 mg·g-1。预测值与化学测量值之间的相对标准偏差平均值均小于2.0%。根据α = 0.05水平的配对t检验结果,预测值与测量值之间无显著差异。所建立的定量分析模型可准确预测片仔癀中皂苷的含量,该方法简便、快速、无损且环保,可用于片仔癀中皂苷的快速检测和质量控制。