中药白芍的高效液相色谱指纹图谱及其主要成分含量测定

目的 研究白芍的主要活性部位乙酸乙酯萃取物的指纹图谱,测定其主要成分含量,并快速评价白芍药材的质量,为科学评价及完善白芍的质量控制提供方法.方法 采用Scincehome C18柱（200 mm×4.6 mm,5μm）,以乙腈（A）和磷酸水溶液（pH 2.7,B）为流动相进行梯度洗脱,色谱峰采集范围200～ 400 nm,检测波长为230 nm,进样量为10μl,柱温为20℃,流速为1.0 ml/min.结果 建立了白芍的高效液相指纹图谱,指认了11个共有峰.并对33个白芍样品的指纹图谱进行相似度分析及聚类分析,聚类分析和相似度分析结果一致.此外对不同购买地的白芍的6种主要成分同时进行测定,并将所建方法用于11个白芍样品的测定.结论 该方法特征性及专属性强,为科学评价及完善白芍的质量控制提供了可靠方法.

Quality control of Radix Paeoniae Alba,a traditional Chinese medicine,using HPLC fingerprinting in combination with simultaneous determination of multi-components

Objective To investigate the HPLC fingerprint of the EtOAc extract, the major bioaetive extract of Radix Paeoniae Alba （RPA）, a traditional Chinese medicine from Paeonia lactiflora Pall. , quantitatively determine main components in the EtOAc ex- tract and perform fast RPA quality evaluation by the HPLC method using RPA samples from different areas of China to afford a useful method for the RPA quality control. Methods A Waters HPLC equipment with a 2996 photodiode array detector（PDA） was used for HPLC, and the PDA detector was set to scan a range from 200-400 nm. HPLC was carried out on a Scincehome C18 column （4. 6 mm x 250 mm ,5 Ixm）using acetonitrile-aqueous phosphoric acid solution （pH 2. 7） in a linear gradient at 1.0 mlfmin of the flow rate as mo- bile phase ,and each 10 ILl of sample solutions was injected to the column. HPLC chromatograms for fingerprint analysis were taken at 230 nm, and the fingerprint analysis was performed both by the similarity analysis and the hierarchical cluster analysis（HCA） meth- ods. Results A standard fingerprint of RPA was obtained, where 11 peaks have been assigned using reference compounds. The simi- laxity analysis and HCA upon the fingerprints from 33 batches of RPA samples gave grossly consistent results to divide these RPA into two categories. Moreover, an HPLC method to simultaneously determine 6 main components in RPA was established and applied to quantitatively determine the 6 components in 11 RPA samples purchased from different areas of China. Conclusion The quality evalu- ation of RPA by fingerprinting coupled with simultaneous determination of muhi-components showed higher specificity and provided a useful HPLC method for quality control of RPA.