Establishment of specific chromatogram， chemical pattern recognition analysis and identification with different origins and counterfeit products of Uncariae Ramulus Cum Uncis

HE Yuqing; CHEN Shengjun; ZHOU Haiqin; QIAN Run; GU Chao; XIE Simei; WEN Hongmei

doi:10.6039/j.issn.1001-0408.2024.05.10

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Establishment of specific chromatogram， chemical pattern recognition analysis and identification with different origins and counterfeit products of Uncariae Ramulus Cum Uncis

更新时间：2024-03-08

- Establishment of specific chromatogram， chemical pattern recognition analysis and identification with different origins and counterfeit products of Uncariae Ramulus Cum Uncis
- ZHONGGUO YAOFANG Vol. 35, Issue 5, Pages: 566-571(2024)
- 作者机构：
  
  1.南京中医药大学药学院，南京　210023
  2.江阴天江药业有限公司技术中心，江苏江阴　214434
  3.江苏省中药配方颗粒制备与质量控制关键技术重点实验室，江苏江阴　214434
  4.江苏省中药配方颗粒工程技术中心，江苏江阴　214434
- 作者简介：
- 基金信息：
- DOI：10.6039/j.issn.1001-0408.2024.05.10
  CLC： R917
- Published：15 March 2024，
  
  Received：18 September 2023，
  
  Revised：22 January 2024，
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何雨晴,陈盛君,周海琴等.钩藤药材的特征图谱建立、化学模式识别分析及其与不同基原、混伪品的鉴别 ^Δ[J].中国药房,2024,35(05):566-571.

HE Yuqing,CHEN Shengjun,ZHOU Haiqin,et al.Establishment of specific chromatogram， chemical pattern recognition analysis and identification with different origins and counterfeit products of Uncariae Ramulus Cum Uncis[J].ZHONGGUO YAOFANG,2024,35(05):566-571.
何雨晴,陈盛君,周海琴等.钩藤药材的特征图谱建立、化学模式识别分析及其与不同基原、混伪品的鉴别 ^Δ[J].中国药房,2024,35(05):566-571. DOI： 10.6039/j.issn.1001-0408.2024.05.10.

HE Yuqing,CHEN Shengjun,ZHOU Haiqin,et al.Establishment of specific chromatogram， chemical pattern recognition analysis and identification with different origins and counterfeit products of Uncariae Ramulus Cum Uncis[J].ZHONGGUO YAOFANG,2024,35(05):566-571. DOI： 10.6039/j.issn.1001-0408.2024.05.10.

摘要

目的

建立不同产地钩藤药材超高效液相色谱（UPLC）特征图谱，并进行化学模式识别分析，同时对钩藤不同基原样品及其混伪品进行鉴别。

方法

采用UPLC法建立43批不同产地钩藤药材的特征图谱，结合聚类分析及主成分分析对其进行质量分析，然后对钩藤不同基原样品及其混伪品进行鉴别。

结果

建立了钩藤药材UPLC特征图谱，标定了13个共有峰，并指认峰2为儿茶素、峰3为绿原酸、峰4为隐绿原酸、峰7为异绿原酸B、峰8为异去氢钩藤碱、峰9为异钩藤碱、峰10为去氢钩藤碱、峰11为异绿原酸C、峰12为钩藤碱和峰13为喜果苷。通过聚类分析可将43批钩藤药材按照产地分为5类。进一步通过主成分分析发现，江西、湖南产钩藤药材主成分综合得分较高，为0.264～2.904分。通过特征图谱可将钩藤不同基原样品及其混伪品进行有效区分。

结论

建立的UPLC特征图谱可用于钩藤药材的质量控制，且本研究发现江西、湖南产钩藤药材质量较优。

Abstract

OBJECTIVE

To establish the ultra-high liquid chromatography （UPLC） characteristic spectrum of Uncariae Ramulus Cum Uncis from different producing areas， to conduct chemical pattern recognition analysis， and to identify the medicinal materials of their different origins and counterfeit products.

METHODS

UPLC method was adopted to establish the characteristic spectra of 43 batches of Uncariae Ramulus Cum Uncis from different origins； cluster analysis combined with principal component analysis were used to analyze their quality； Uncariae Ramulus Cum Uncis from different origins and counterfeit products were identified.

RESULTS

UPLC specific spectrum of Uncariae Ramulus Cum Uncis was established， and 13 common peaks were calibrated； peak 2 was identified as catechin， peak 3 as chlorogenic acid， peak 4 as cryptochlorogenic acid， peak 7 as isochlorogenic acid B， peak 8 as isodehydroguotenine， peak 9 as isooguotenine， peak 10 as dehydroguotenine， peak 11 as isochlorogenic acid C， peak 12 as goutenine， and peak 13 as camptothecin. Through cluster analysis， the medicinal materials of 43 batches of Uncariae Ramulus Cum Uncis could be divided into 5 categories according to their different origins. Further principal component analysis revealed that the principal component comprehensive scores of Uncariae Ramulus Cum Uncis produced in Jiangxi and Hunan were relatively high， ranging from 0.264 to 2.904. The specific chromatogram could effectively distinguish among the different origins and their counterfeit products of Uncariae Ramulus Cum Uncis.

CONCLUSIONS

The established UPLC specific chromatogram can be used for quality control of Uncariae Ramulus Cum Uncis， and the study found that the quality of Uncariae Ramulus Cum Uncis from Jiangxi and Hunan provinces is relatively good.

关键词

钩藤超高液相色谱不同基原聚类分析主成分分析真伪鉴别

Keywords

ultra-high liquid chromatographydifferent originscluster analysisprincipal component analysisauthenticity identification

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