白芍饮片HPLC指纹图谱的定量标示研究

Quantititive study for chromatographic fingerprints of processed products of Paeonia lactiflora

目的:探讨如何应用HPLC指纹图谱的计量技术对白芍炒制过程及白芍饮片进行质量控制。方法:中试生产研制白芍饮片,HPLC,PFA(principal factor analysis)。结果:获得了较稳定的白芍饮片HPLC图谱;在不同产地和不同饮片品种图谱的10个特征峰中,通过各个峰之间的联带变化在不同饮片中的分布规律,运用PFA的信息处理技术,抽取出能反映对HPLC谱中峰群有影响的2个公共因子,其累计贡献率为64.8%,根据各峰对因子的载荷和communality筛选出的7个峰可作为主要反映图谱形状变化的目标峰群。结论:HPLC指纹图谱和PFA可用于白芍的炒制工艺过程和饮片的质量控制。

To explore the utility of Principal Factor Analysis （PFA） in chromatographic data for quality control. Method： Chromatographic fingerprints of processed root pieces of Paeonia lactiflora were determined by HPLC, the PFA was used for data processing. Result： The quantitative differences among different growing areas and different processing batches were found with the method. Condusion： The method could be used in quality control for monitoring between-batch products of traditional Chinese pharmaceutical process.