苦杏仁指纹图谱的建立及质量评价

Establishment of Fingerprints of Semen Armeniacae Amarum and Its Quality Evaluation

目的:评价不同产地苦杏仁的质量,建立苦杏仁药材指纹图谱,并进行主成分分析和聚类判别。方法:采用Inertsil ODS-3 C18色谱柱(4.6 mm×250 mm,5μm),流动相乙腈-0.05%磷酸水溶液进行梯度洗脱,检测波长215 nm,体积流量1.0 m L·min-1,测定10个不同产地苦杏仁指纹图谱,建立苦杏仁的HPLC指纹图谱,通过相似度评价,结合聚类分析和主成分分析(PCA),对不同批次的苦杏仁药材进行质量评价。结果:建立了苦杏仁指纹图谱共有模式,标定了12个共有峰,并采用聚类分析和主成分分析对指纹图谱进行模式识别。结论:所建立的苦杏仁指纹图谱表征方法为不同产地苦杏仁的质量评价及合理采收提供了理论依据;河北采集的苦杏仁质量较佳,可以作为华盖散处方中苦杏仁的优选来源产地。

Objective： To evaluate the quality of Semen Armeniacae Amarum collected from various habitats. To establish an HPLC fingerprint of Semen Armeniacae Amarum collected from various habitats,and to make evaluation by principal component analysis and cluster analysis. Method： Inertsil ODS-3 C_（18） column（ 4. 6mm × 250 mm,5 μm） was used with acetonitrile-0. 05% phosphoric acid solution as mobile phase for gradient elution. The detective wavelength was 215 nm and the flow rate was 1. 0 m L·min^-1. HPLC fingerprints of Semen Armeniacae Amarum from ten different sources were set up. Similarity evaluation combined with hierarchical clustering analysis（ HCA） and principal components analysis（ PCA） were used to evaluate the quality of Semen Armeniacae Amarum herb from ten different sources. Result： The common mode of HPLC fingerprints for Semen Armeniacae Amarum was established and 12 common peaks were marked in the fingerprints. The cluster analysis and principal component analysis were applied for pattern recognition. Conclusion： The established fingerprints method provides scientific foundation for the reasonable collection and quality evaluation of Semen Armeniacae Amarum. The Semen Armeniacae Amarum collected in Hebei province has better quality.