基于指纹图谱和一测多评联合化学计量学、熵权TOPSIS法及加权RSR法对一枝蒿的质量评价&#x0002A;

丁曼; 程江南; 阿地娜&#x000b7;阿不都艾尼; 毛艳

doi:10.16155/j.0254-1793.2024-0395

药物分析杂志 >

2025 , Vol. 45 >Issue 3: 475 - 488

DOI: https://doi.org/10.16155/j.0254-1793.2024-0395

质量分析

基于指纹图谱和一测多评联合化学计量学、熵权TOPSIS法及加权RSR法对一枝蒿的质量评价^*

丁曼 ,
程江南 ,
阿地娜·阿不都艾尼 ,
毛艳

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1.新疆维吾尔自治区药物研究所新疆维吾尔药重点实验室,乌鲁木齐 830010;
2.新疆医科大学药学院,乌鲁木齐 830011

第一作者丁曼 Tel：15999156282;E-mail：714450733@qq.com
程江南 Tel：13579900257;E-mail：648699388@qq.com

^** Tel：18129413767;E-mail：maoyan7529@163.com

收稿日期: 2024-06-14

网络出版日期: 2025-08-25

基金资助

积极项目：*新疆维吾尔自治区自然科学基金-杰出青年项目（2021D01E25）; 新疆维吾尔自治区自然科学基金-青年基金项目（2022D01B188）; 新疆维吾尔自治区重点研发计划项目（2023B03012-2）

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Quality evaluation of Artemisia rupestris L. based on fingerprints and QAMS combined with chemometrics, EW-TOPSIS method and WRSR method^*

DING Man ,
CHENG Jiang-nan ,
ADINA Abuduaini ,
MAO Yan

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1. Key Laboratory of Xinijang Uygur Medicine, Xinjiang Institute of Materia Medica, Urumqi 830010, China;
2. School of Pharmaceutical Sciences, Xinjiang Medical University, Urumqi 830011, China

Received date: 2024-06-14

Online published: 2025-08-25

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摘要

目的: 建立高效液相色谱（HPLC）指纹图谱与一测多评（QAMS）结合的方法同时检测一枝蒿Artemisia rupestris L.药材中新绿原酸、绿原酸、隐绿原酸、异绿原酸B、异绿原酸A、异绿原酸C、蒙花苷、一枝蒿酮酸、金腰乙素、艾黄素含量,并建立不同产地一枝蒿药材的综合质量评价模型,为一枝蒿药材的整体质量评价提供参考。方法: 采用HPLC法测定不同产地15批次一枝蒿药材的指纹图谱,色谱柱为YMC-Pack ODS-A C₁₈（250 mm×4.6 mm,5 μm）,以乙腈-0.2%甲酸溶液为流动相,梯度洗脱,分段变波长检测,柱温30 ℃,体积流量1.0 mL·min^-1。利用聚类分析、主成分分析（PCA）和正交偏最小二乘判别分析（OPLS-DA）对采集的指纹图谱信息进行分析,同时运用熵权逼近理想解排序（technique for order preference by similarity to ideal solution,TOPSIS）法、加权秩和比（rank sum ratio,RSR）法及两者模糊联合的方法构建评价模型;以蒙花苷为内标,确定新绿原酸、绿原酸、隐绿原酸、异绿原酸B、异绿原酸A、异绿原酸C、一枝蒿酮酸、金腰乙素、艾黄素的相对校正因子并计算其含量,建立QAMS法。结果: 建立的一枝蒿药材指纹图谱共标定18个共有峰,指认出其中11个峰。化学计量学模式研究显示不同产地一枝蒿药材存在明显差异。通过OPLS-DA法筛选出11个主要的差异性成分。构建的熵权TOPSIS法、加权RSR法以及二者模糊联合的综合质量评价模型,对不同产地一枝蒿药材的质量评价排序结果较为一致。10个定量成分线性关系均良好（r≥0.999 0）,平均加样回收率92.6％~ 107.2％,RSD均<3.0％。以蒙花苷为内标建立的QAMS和外标法含量测定结果无显著性差异（P>0.05）。结论: 所建立的HPLC指纹图谱结合QAMS法简便可靠,重复性好;建立的综合质量评价模型的分析结果全面客观,可用于一枝蒿药材整体质量的综合评价。

关键词： 一枝蒿; 指纹图谱; 一测多评法; 熵权逼近理想解排序法; 质量评价

本文引用格式

丁曼 , 程江南 , 阿地娜·阿不都艾尼 , 毛艳 . 基于指纹图谱和一测多评联合化学计量学、熵权TOPSIS法及加权RSR法对一枝蒿的质量评价^*[J]. 药物分析杂志, 2025 , 45(3) : 475 -488 . DOI: 10.16155/j.0254-1793.2024-0395

Abstract

Objective: To establish a method combining high performance liquid chromatography (HPLC) fingerprint with quantitative analysis of multi-components with a single marker (QAMS), for simultaneous determination of neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, cynaroside, isochlorogenic acid B, isochlorogenic acid A, isochlorogenic acid C, buddleoside, rupestonic acid, chrysosplenetin and artemisetin in Artemisia rupestris L.. The comprehensive quality evaluation model of different producing areas was established to provide reference for the overall quality evaluation. Methods: HPLC method was used to determine the fingerprints of 15 batches of Artemisia rupestris L. from different origin. Stationary phase was YMC-Pack ODS-A C18 column (250 mm×4.6 mm, 5 μm) was adopted, and the mobile phase was acetonitrile-water (containing 0.2% formic acid) with gradient elution, the detection wavelength was segmented changes, the column temperature was 30℃, the flow rate was 1.0 mL·min^-1. The information of fingerprinting spectrum was analyzed by cluster analysis (CA), principal component analysis (PCA) and orthogonal partial least-squares discrimination analysis (OPLS-DA). At the same time, the entropy weight technique for order preference by similarity to ideal solution (EW-TOPSIS), the weighted rank sum ratio (WRSR) and the fuzzy combination of the two methods to construct the evaluation model. With buddleoside as the internal standard, the relative correction factors (RCF) of neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, cynaroside, isochlorogenic acid B, isochlorogenic acid A, isochlorogenic acid C, rupestonic acid, chrysosplenetin and artemisetin were determined and their contents were calculated to establish QAMS method. Results: A total of 18 common peaks were calibrated and ten of them were identified by the established fingerprint of Artemisia rupestris L.. The study of stoichiometric model showed that there were obvious differences among different producing areas of Artemisia rupestris L.. Eleven different components were selected by OPLS-DA method. The comprehensive quality evaluation model of EW-TOPSIS method, WRSR method and their fuzzy combination showed the consistent quality evaluation ranking results of different producing areas. The resolution and linear relationship of ten components in quantitative analysis were good. The average recovery rates were 92.6%-107.2% with RSD<3.0%. There was no significant difference between the results of QAMS with chlorogenic acid as internal standard and the results of external standard (P>0.05). Conclusion: The established HPLC fingerprint combined with QAMS method is simple, reliable and has good repeatability. The results of the comprehensive quality evaluation model established are comprehensive and objective, which can be used to evaluate the overall quality of Artemisia rupestris L..

Key words： Artemisia rupestris L.; fingerprint; QAMS; technique for order preference by similarity to ideal solution; quality assessment

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