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白术高效液相色谱指纹图谱及多指标成分含量测定研究

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目的 建立白术高效液相色谱(HPLC)指纹图谱和多成分含量的测定方法,为其质量控制提供参考.方法 采用高效液相色谱-二极管阵列检测器(HPLC-DAD)多波长切换法建立白术指纹图谱,应用相似度评价、聚类分析、主成分分析和偏最小二乘判别分析法进行化学计量学研究,对其差异性成分白术内酯Ⅰ、白术内酯Ⅱ、白术内酯Ⅲ和苍术酮进行含量测定.结果 建立了白术HPLC指纹图谱,共标定了 9 个共有峰,并鉴定出其中 4 个成分;37 批样品与对照图谱相似度为 0.539～0.996;不同产地、不同批次样品质量存在较大差异,白术内酯Ⅰ、白术内酯Ⅱ、白术内酯Ⅲ、苍术酮和未知成分峰 9 是影响白术质量的重要因素.结论 该研究建立的指纹图谱结合多成分同时测定的方法简便、稳定、准确、可靠,可为白术的整体质量评价和质量标准的提升提供参考,为其药效物质基础研究及其相关复方研究等奠定基础.
Study on HPLC Fingerprint and Multi-Index Components Contents of Atractylodis Macrocephalae Rhizoma
Objective To establish a method for simultaneous determination of HPLC fingerprint and multi-target ingredients in Atractylodis Macrocephalae Rhizoma(AMR),in order to provide reference for its quality control.Methods HPLC-DAD multi-wavelength switching method was used to establish fingerprint of AMR,similarity evaluation combined with hierarchical clustering analysis(HCA),principal components analysis(PCA)and discriminant analysis of partial least squares(PLS-DA)were used to carry out chemometric study.The contents of differential component such as atractylenolide Ⅰ,Ⅱ,Ⅲ and atractylon were determined simultaneously.Results The HPLC fingerprint of 37 batches of AMR was established.Nine common peaks were marked,and 4 of them were identified as atractylon,atractylenolide Ⅰ,Ⅱ,Ⅲ.The similarity degrees were between 0.539 and 0.996,the quality of AMR from different origin and different batches varies greatly.Atractylon,atractylenolide Ⅰ,Ⅱ,Ⅲ and one unknown component(peak 9)are the important factors affecting the quality of AMR.Conclusion The combination methods of HPLC fingerprint and simultaneous determinations of multiple components are simple,stable,accurate and reliable,which can provide reference for the quality evaluation of AMR and the improvement of quality standard,as well as lay a foundation for the basic research of its pharmacodynamic substances and related compound.

Atractylodis Macrocephalae Rhizomahigh performance liquid chromatography(HPLC)multi-wavelength switchingfingerprintcluster analysisprincipal component analysispartial least squares-discriminant analysiscontent determination

李春沁、凌海燕、开拓、杨安东、杨军

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四川省中医药科学院,四川 成都 610041

白术 高效液相色谱法 多波长切换 指纹图谱 聚类分析 主成分分析 偏最小二乘法判别分析 含量测定

四川省省级科研院所基本科研业务费项目四川省科技计划重点研发项目

2023JDKY00272020YFS0566

2024

10.19378/j.issn.1003-9783.2024.03.014

中药新药与临床药理
广州中医药大学

中药新药与临床药理

CSTPCD北大核心
影响因子：0.908
ISSN：1003-9783
年,卷(期)：2024.35(3)
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