不同产地赶黄草化学模式识别及差异成分定量分析OACSTPCD
Chemical Pattern Recognition of Penthori Herba from Different Producing Areas and Content Determination of Its Differential Components
目的:建立不同产地赶黄草药材的指纹图谱,并进行化学模式识别和差异成分含量测定.方法:采用高效液相色谱法(HPLC)建立 23 批不同产地赶黄草药材的指纹图谱,进行共有峰指认和相似度评价;采用聚类分析、主成分分析(PCA)、正交偏最小二乘法-判别分析(OPLS-DA)对 23 批不同产地赶黄草药材进行分析,筛选差异成分.结果:确定了 23 批不同产地赶黄草药材中的 25 个共有峰,对 2、6、9、16、22、25 号峰进行了指认,分别为没食子酸、原儿茶酸、儿茶素、槲皮素、乔松素-7-O-β-D-葡萄糖苷和蛇菰素A,23 批药材的相似度为0.697～0.951.聚类分析将 23 批赶黄草药材分成 3 类;通过PCA、OPLS-DA发现,23 批赶黄草药材可聚为 3 类,与聚类分析结果一致,筛选出 11 个差异成分;对没食子酸、原儿茶酸、儿茶素、槲皮素、乔松素-7-O-β-D-葡萄糖苷和蛇菰素A进行定量分析,质量分数分别为 0.503～0.780、0.122～0.231、0.306～1.183、0.625～0.883、0.301～0.481、2.333～3.952 mg·g-1.结论:指纹图谱结合化学模式识别可有效筛选不同产地赶黄草药材的差异成分,为其质量标准的完善提供了参考.
Objective:To establish the fingerprint of Penthori Herba from different producing areas and conduct chemical pattern recognition and content determination of differential components.Methods:High-performance liquid chromatography(HPLC)was used to establish the fingerprint of 23 batches of Penthori Herba from different producing areas,identifying common peaks and evaluating their similarities.Cluster analysis,principal component analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA)were employed to analyze the 23 batches of Penthori Herba and screen for differential components.Results:A total of 25 common peaks were identified among the 23 batches of Penthori Herba.Peaks 2,6,9,16,22,and 25 were confirmed as gallic acid,protocatechuic acid,catechin,quercetin,5-hydroxy-flavanone-7-O-β-D-glucoside,and thonningian A,respectively.The similarity among the 23 batches ranged from 0.697 to 0.951.Cluster analysis categorized the 23 batches of Penthori Herba into three groups.PCA and OPLS-DA further confirmed that these batches could be clustered into three categories,consistent with the results of the cluster analysis,leading to the identification of 11 differential components.Quantitative analysis of gallic acid,protocatechuic acid,catechin,quercetin,5-hydroxy-flavanone-7-O-β-D-glucoside,and thonningian A revealed average content of 0.503-0.780,0.122-0.231,0.306-1.183,0.625-0.883,0.301-0.481,and 2.333-3.952 mg·g-1,respectively.Conclusion:The combination of fingerprinting and chemical pattern recognition effectively screens for differential components in Penthori Herba from different regions,providing a reference for improving quality standards.
胡丹;袁晓明
安徽省宿州市食品药品检验检测中心,安徽 宿州 234000
中医学
赶黄草指纹图谱化学模式识别差异成分含量测定
Penthori Herbafingerprintchemical pattern recognitiondifferential componentscontent determination
《中国现代中药》 2024 (012)
2092-2099 / 8
安徽省药品监督管理局科技创新项目(AHYJ-KJ-202220,AHYJ-KJ-202325)
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