基于聚类分析与主成分分析的赤芍指纹图谱研究

HPLC Fingerprint of Paeoniae Radix Rubra Based on Principal Component Analysis Coupled with Cluster Analysis

目的建立赤芍药材指纹图谱,并进行聚类分析和主成分分析。方法采用高效液相色谱法(HPLC),以Hypersil ODS C18柱(4.6 mm×200 mm,5μm)为色谱柱,以乙腈-0.02%磷酸溶液(p H 2.7)混合液进行梯度洗脱,流速0.8 m L/min;检测波长230 nm;柱温25℃。结果建立了13个产地药材的共有图谱,聚成5类,确定了17个共有峰,得到3个决定峰。结论聚类分析结合主成分分析所建立的HPLC指纹图谱及定量分析方法均具有快速稳定的特点,为全面控制赤芍药材的质量提供了依据。

Objective To establish an HPLC fingerprint of Paeoniae Radix Rubra collected from 13 habitats, and to make evaluation by principal component analysis （PCA） and cluster analysis （CA）. Methods HPLC analysis of methanol extract of Paeoniae Radix Rubra was carried out by Hypersil ODS Cl8 column （4.6 mm × 200 mm, 5μm） with mobile phase of cetonitrile-0.02 % phosphoric acid solution （pH 2.7） system in gradient elution mode, with a flow rate of 0.8 mL/min. The ultraviolet detection wave length was set at 230 nm and column temperature was 25 ℃. Results 17 common peaks were identified in chromatograms with reference to paeoniflorin peak from the 13 batches of the samples. Three main peaks were obtained and all the peaks were classified into five categories. Conclusion HPLC fingerprint and quantitative analysis established by PCA-CA can be used for the classification of Paeoniae Radix Rubra from different habitats and have the characteristic of rapidness and stability.