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基于UPLC指纹图谱及含量测定结合化学模式识别法比较不同产地枇杷花的差异 被引量:1

Loquat flowers from different regions by HPLC fingerprint and content determination combined with chemical pattern recognition
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摘要 目的 建立枇杷花的UPLC指纹图谱,测定枇杷花中4种化合物的含量,并采用化学模式识别法分析比较不同产地枇杷花的差异。方法 使用UPLC建立不同产地枇杷花的指纹图谱,测定金丝桃苷、绿原酸、异槲皮苷、槲皮苷的含量,对20批次的枇杷花的指纹图谱开展相似度评价、聚类分析、偏最小二乘法判别分析(OPLS-DA)及主成分分析,对不同产地枇杷花进行分类并筛选出差异标志成分。结果 建立了枇杷花的UPLC指纹图谱,标记出10个共有峰,指认出4个成分,20批枇杷花相似度为0.970~0.999。通过聚类分析和主成分分析可将不同产地的枇杷花分为两类,OPLS-DA分析结果显示金丝桃苷、绿原酸、异槲皮苷可作为评价不同产地枇杷花的差异标志成分。含量测定结果显示不同产地枇杷花的4种成分含量存在一定差异。结论 建立的枇杷花UPLC指纹图谱及成分定量方法高效稳定,化学模式识别分析方法结果可靠,可为枇杷花的质量研究提供参考。 Objective To establish the UPLC fingerprint of loquat flowers,determine the content of four components in loquat flowers,and use chemical pattern recognition to compare the differences in loquat flowers from various origins.Methods The fingerprints of loquat flowers from different origins were established by UPLC,the content of hyperoside,chlorogenic acid,isoquercetin,and quercetin-3-rhamnoside was determined.The similarity evaluation,cluster analysis,partial least squares discriminant analysis and principal component analysis of the fingerprints of 20 batches of loquat flowers were conducted,loquat flowers from different origins classified and difference markers determined.Results The UPLC fingerprint of loquat flowers was established,10 common fingerprint peaks were calibrated and 4 components were identified,the similarities of 20 batches of loquat flowers ranged 0.970~0.999.The samples were divided into two categories by cluster analysis and principal component analysis.The OPLS-DA analysis showed that hyperoside,chlorogenic acid and isoquercetin served as difference markers to evaluate loquat flowers from different origins.There were differences in the chemical components of loquat flowers from different habitats.Conclusion The established UPLC fingerprint and component quantification method for loquat flowers is effective and stable,which together with chemical pattern recognition,can provide reference for the quality research of loquat flowers.
作者 胡孔兴 何鹏 张萍 陈向涛 HU Kong-xing;HE Peng;ZHANG Ping;CHEN Xiang-tao(School of Pharmacy,Anhui Medical University,Hefei 230032;Wuhu Testing Center for Food and Drug Control,Wuhu Anhui 241000)
出处 《中南药学》 CAS 2024年第4期1053-1058,共6页 Central South Pharmacy
基金 国家自然科学基金项目(No.82274124) 安徽省药品监督管理局科技创新项目(No.AHYJ-KJ-202012)。
关键词 枇杷花 指纹图谱 聚类分析 化学模式识别 loquat flower fingerprint cluster analysis chemical pattern recognition
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