文献类型：期刊文献

中文题名：基于HPLC指纹图谱结合化学模式识别法对黄芪不同炮制品多指标成分分析研究

英文题名：Multi-index composition analysis of different processed products of Astragali Radix based on HPLC fingerprint combined with chemical pattern recognition method

作者：周晶晶[1];周洁[1];张红伟[1];党文飞[1];窦霞[2,3];靳子明[2,3]

第一作者：周晶晶

机构：[1]甘肃中医药大学;[2]甘肃中医药大学附属医院;[3]杨锡仓全国名老中医药专家工作室,兰州730030

第一机构：甘肃中医药大学

年份：2024

卷号：36

期号：6

起止页码：993

中文期刊名：天然产物研究与开发

外文期刊名：Natural Product Research and Development

收录：CSTPCD;;北大核心:【北大核心2023】；CSCD:【CSCD2023_2024】；

基金：国家自然科学基金(82360944);甘肃省科技厅科技重大专项-2022年中医药产业创新联合体项目(22ZD6FA021-4);兰州市城关区科技计划(2021-2-9);甘肃省中医药科研重点课题(GZKZ-2021-5)。

语种：中文

中文关键词：黄芪;HPLC;指纹图谱;含量测定;化学模式识别;质量评价

外文关键词：Astragali Radix;HPLC;fingerprint;content determination;chemical pattern recognition;quality evaluation

摘要：本研究通过建立黄芪不同炮制品HPLC指纹图谱及多成分含量测定方法,并结合化学计量法对其进行比较分析,为黄芪炮制品的综合利用提供理论支持。采用HPLC建立黄芪炮制品指纹图谱并进行6种成分的含量测定,并通过聚类分析(hierarchical clustering analysis,HCA)、主成分分析(principal component analysis,PCA)和正交偏最小二乘-判别分析(orthogonal partial least squares discriminant analysis,OPLS-DA)评价不同黄芪炮制品的差异,找寻差异性成分。结果显示,不同炮制品(各10批)共得到20个共有峰,其中指认了6个共有峰,且6个成分在各自的质量浓度范围内线性关系良好(r>0.999),平均加样回收率为100.5%~102.1%,相对标准偏差(relative standard deviation,RSD)为0.77%~2.1%;指纹图谱相似度结果显示,蜜麸黄芪、蜜炙黄芪、盐黄芪、酒黄芪各自10批的相似度均在0.900以上,但不同类型炮制品的相似度降低;聚类分析可将四种炮制品聚为3类,主成分分析与聚类分析结果一致,可相互佐证,正交偏最小二乘-判别分析能有效的将4种炮制品区分,以变量重要性投影(variable importance of projection,VIP)大于1为依据,筛选了9种主要差异成分,确认了毛蕊异黄酮苷、芒柄花苷、5-羟甲基糠醛是引起黄芪不同炮制品间成分差异的主要标志性成分。该研究所建立的黄芪炮制品HPLC指纹图谱结合化学计量法的方法准确可靠,可为黄芪炮制品的质量控制和品质评价提供参考依据。
This study provides theoretical support for the comprehensive utilization of Astragali Radix processed products by establishing HPLC fingerprints and multi-component content determination methods for different processed products of Astragali Radix,and combining them with chemometric methods for comparative analysis.The fingerprints of Astragali Radix processed products were established by HPLC and the contents of six components were determined,and evaluate the differences of processed products of Astragali Radix by hierarchical clustering analysis(HCA),principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA)to find the differential components.The results showed that a total of 20 common peaks were obtained from different processed products(ten batches each),among which six common peaks were identified,and the linearity of the six components was good in their respective mass concentration ranges(r>0.999),with average spiked recoveries ranging from 100.5%to 102.1%,and the relative standard deviation(RSD)was 0.77%-2.1%;The similarity results of fingerprint mapping showed that the similarity of ten batches each of honey bran-processed Astragali Radix,honey-processed Astragali Radix,salt-processed Astragali Radix,and wine-processed Astragali Radix was above 0.900,but the similarity of different types of concoctions decreased;Hierarchical clustering analysis can cluster the four kinds of processed products into three categories,the results of principal component analysis and cluster analysis are consistent and can be corroborated with each other,orthogonal partial least squares-discriminant analysis can effectively differentiate the four kinds of processed products,and nine main difference components were screened based on the variable importance of projection(VIP)greater than 1,calycosin-7-glucoside,ononin,and 5-hydroxymethylfurfural were identified as the major landmark components causing compositional differences among different processed products of Astragali Radix.The HPLC fingerprint combined with stoichiometry of Astragali Radix processed products established by this institute is accurate and reliable,which can provide a reference for the quality control and quality evaluation of Astragali Radix processed products.