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HPLC指纹图谱和多成分定量结合化学模式识别评价蜜款冬花质量

HPLC fingerprint and multi-components determination combined with chemical pattern recognition to evaluate quality of honeyed Farfarae Flos
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摘要 目的建立蜜款冬Tussilago farfara花HPLC指纹图谱和多成分含量测定分析方法,结合化学模式识别法综合评价蜜款冬花质量。方法采用HPLC和中药指纹图谱相似度评价系统(2004 A)建立53批蜜款冬花的指纹图谱,同时测定款冬酮等14个有效成分含量,结合化学模式识别对不同批次蜜款冬花的质量进行评价。结果蜜款冬花指纹图谱共标定了24个共有峰,指认了其中14个成分,相似度为0.763~0.997;聚类分析(cluster analysis,HCA)、主成分分析(principal component analysis,PCA)和正交偏最小二乘法(orthogonal partial least squares-discriminant analysis,OPLS-DA)均将53批样品分为2类,PCA得到6个主成分的累积贡献率为82.457%,OPLS-DA筛选了异绿原酸B、异绿原酸A、异绿原酸C、绿原酸、芦丁、10号峰(未知)6个影响蜜款冬花质量的差异性成分;含量测定结果表明不同批次蜜款冬花中14个有效成分含量存在明显差异,聚类热图将53批样品分为2类,第1类样品中的异绿原酸A、异绿原酸B、异绿原酸C、槲皮素、芦丁、绿原酸、隐绿原酸含量高于第2类,其中异绿原酸A、异绿原酸B、异绿原酸C、芦丁、绿原酸均来OPLS-DA筛选的差异性成分。结论建立的蜜款冬花HPLC指纹图谱和多成分定量方法稳定性好、灵敏度高,结合化学模式识别法可为综合评价蜜款冬花质量提供参考。 Objective To establish the HPLC fingerprint and multi-component quantitative analysis of honeyed Kuandonghua(Farfarae Flos),and chemical pattern recognition technology was used to evaluate the quality of honeyed Farfarae Flos.Methods HPLC and Similarity evaluation system of traditional Chinese medicine fingerprint(Version 2004 A)were used to establish the HPLC fingerprints of 53 batches for honeyed Farfarae Flos,at the same time,the contents of 14 active compounds were determined.chemical pattern recognition technology was applied for evaluating the quality of 53 batches for honeyed Farfarae Flos.Results The HPLC fingerprints of honeyed Farfarae Flos were established.A total of 24 common peaks were calibrated and 14 of them were identified.The similarity were 0.763—0.997.The samples were divided into two groups by cluster analysis(HCA),principal component analysis(PCA)and orthogonal partial least squares-discriminant analysis(OPLS-DA).PCA analysis indicated that the cumulative variance contribution rate of the six principal components were 82.457%.Six quality differential compounds were presented in the fingerprint by OPLS-DA,including isochlorogenic acid B,isochlorogenic acid A,isochlorogenic acid C,chlorogenic acid and rutin,and so on.The content determination results showed that there were obvious differences in 14 chemical components of honeyed Farfarae Flos from different batches.Results of cluster heatmap analysis showed that 53 batches of honeyed Farfarae Flos could be divided into two categories.The contents of isochlorogenic acid A,isochlorogenic acid B,isochlorogenic acid C,quercetin,rutin,chlorogenic acid,cryptochlorogenic acid in the first group were higher than the second group and isochlorogenic acid A,isochlorogenic acid B,isochlorogenic acid C,rutin,and chlorogenic acid are all different components of OPLS-DA screening.Conclusion In this study,the established HPLC fingerprint and multi-component quantitative analysis with chemical pattern recognition technology are stable and sensitive,which can provide a reference for the quality evaluation of honeyed Farfarae Flos.
作者 龚秀娟 彭亮 陈晓颖 周可心 贺喜泉 杨冰月 GONG Xiujuan;PENG Liang;CHEN Xiaoying;ZHOU Kexin;HE Xiquan;YANG Bingyue(Shaanxi Qinling Application Development and Engineering Center of Chinese Herbal Medicine,College of Pharmacy,Shaanxi University of Chinese Medicine,Xian 712046,China;College of Pharmacy,Hunan University of Traditional Chinese Medicine,Changsha 410208,China)
出处 《中草药》 CAS CSCD 北大核心 2024年第18期6344-6354,共11页 Chinese Traditional and Herbal Drugs
基金 国家自然科学基金资助项目(82204578) 陕西省科技厅项目(2021JQ-733) 公益性行业(中医药)科研专项经费项目(201507002) 陕西中医药大学“秦药”品质评价及资源开发学科创新团队项目(2019-QN01)。
关键词 蜜款冬花 HPLC指纹图谱 化学模式识别 质量评价 异绿原酸A 异绿原酸B 异绿原酸C 槲皮素 芦丁 绿原酸 隐绿原酸 honeyed Farfarae Flos HPLC fingerprint chemical pattern recognition quality evaluation isochlorogenic acid A isochlorogenic acid B isochlorogenic acid C quercetin rutin chlorogenic acid cryptochlorogenic acid
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