Quality evaluation of <italic style="font-style: italic">Phellodendron chinensis</italic> based on fingerprint， multi-component content determination and chemometrics analysis

LIAO Huajun; SU Jingjing; CHEN Si; XIA Yujie; PAN Xin

doi:10.6039/j.issn.1001-0408.2026.20.12

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Quality evaluation of Phellodendron chinensis based on fingerprint， multi-component content determination and chemometrics analysis

更新时间：2026-10-29

- Quality evaluation of Phellodendron chinensis based on fingerprint， multi-component content determination and chemometrics analysis
- ZHONGGUO YAOFANG Vol. 37, Issue 20, Pages: 2700-2705(2026)
- 作者机构：
  
  福建中医药大学药学院，福州　350122
- 作者简介：
- 基金信息：
- DOI：10.6039/j.issn.1001-0408.2026.20.12
  CLC： R284;R917
- Received：14 August 2026，
  
  Revised：2026-10-15，
  
  Accepted：16 October 2026，
  
  Published：30 October 2026
- 稿件说明：
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廖华军,苏菁菁,陈思,等.基于指纹图谱、多成分含量测定与化学计量学分析的黄柏药材质量评价 [J].中国药房,2026,37(20):2700-2705.

LIAO Huajun,SU Jingjing,CHEN Si,et al.Quality evaluation of Phellodendron chinensis based on fingerprint， multi-component content determination and chemometrics analysis[J].ZHONGGUO YAOFANG,2026,37(20):2700-2705.
廖华军,苏菁菁,陈思,等.基于指纹图谱、多成分含量测定与化学计量学分析的黄柏药材质量评价 [J].中国药房,2026,37(20):2700-2705. DOI： 10.6039/j.issn.1001-0408.2026.20.12.

LIAO Huajun,SU Jingjing,CHEN Si,et al.Quality evaluation of Phellodendron chinensis based on fingerprint， multi-component content determination and chemometrics analysis[J].ZHONGGUO YAOFANG,2026,37(20):2700-2705. DOI： 10.6039/j.issn.1001-0408.2026.20.12.

摘要

目的

建立黄柏药材的高效液相色谱（HPLC）指纹图谱及含量测定方法，同时结合化学计量学分析评价黄柏药材的质量。

方法

采用《中药色谱指纹图谱相似度评价系统（2012版）》建立30批黄柏药材的HPLC指纹图谱并进行相似度评价和共有峰指认。采用同样的HPLC法测定盐酸黄柏碱、木兰花碱、绿原酸、5-

-阿魏酰奎宁酸、4-

-阿魏酰奎宁酸、3-

-阿魏酰奎宁酸、盐酸药根碱、盐酸小檗碱的含量；以上述8种成分的含量为变量进行层次聚类分析（HCA）、主成分分析（PCA）和偏最小二乘-判别分析（PLS-DA）。

结果

30批样品的HPLC指纹图谱共标定16个共有峰，指认出了其中8个共有峰，分别为盐酸黄柏碱、木兰花碱、绿原酸、5-

-阿魏酰奎宁酸、4-

-阿魏酰奎宁酸、3-

-阿魏酰奎宁酸、盐酸药根碱、盐酸小檗碱；30批样品的相似度为0.989～1.000。含量测定结果显示，盐酸黄柏碱等8个成分的含量分别为10.108～22.745、2.598～5.529、6.250～13.942、4.956～12.433、10.895～27.384、43.248～78.924、0.428～1.154、81.827～153.066 mg/g。HCA结果显示，30批样品聚为3类，S1～S10为一类，S11～S23为一类，S24～S30为一类；PCA结果显示，四川产区的10批样品（编号S1～S10）的综合得分排前10位；PLS-DA结果显示，盐酸小檗碱、3-

-阿魏酰奎宁酸、绿原酸、盐酸黄柏碱的变量重要性投影值均大于1。

结论

本研究建立的HPLC指纹图谱和含量测定方法稳定、可靠，基于多成分含量数据的化学计量学分析可用于黄柏药材的质量评价；盐酸小檗碱、盐酸黄柏碱、3-

-阿魏酰奎宁酸可能是影响黄柏药材整体质量的差异标志物。

Abstract

OBJECTIVE

To establish a high-performance liquid chromatography （HPLC） fingerprint and content determination method for

Phellodendron chinensis

， and to evaluate its quality combined with chemometrics analysis.

METHODS

The HPLC fingerprints of 30 batches of

P. chinensis

were established by the

Similarity Evaluation System for Chromatographic

Fingerprint of Traditional Chinese Medicine （2012 Edition）， and similarity evaluation and common peak identification were carried out.The contents of phellodendrine hydrochloride， magnoflorine， chlorogenic acid， 5-

-feruloylquinic acid， 4-

-feruloylquinic acid， 3-

-feruloylquinic acid， jatrorrhizine hydrochloride，and berberine hydrochloride were determined by the same HPLC method. Hierarchical cluster analysis （HCA）， principal component analysis （PCA）， and partial least squares-discriminant analysis （PLS-DA） were performed using the contents of the above eight components as variables.

RESULTS

A total of 16 common peaks were identified in the HPLC fingerprints of 30 batches of samples， and 8 common peaks were identified， including phellodendrine hydrochloride， magnoflorine， chlorogenic acid， 5-

-feruloylquinic acid， 4-

-feruloylquinic acid， 3-

-feruloylquinic acid， jatrorrhizine hydrochloride，and berberine hydrochloride. The similarity of 30 batches of samples ranged from 0.989 to 1.000. The results of content determination showed that the contents of eight components such as phellodendrine hydrochloride were 10.108-22.745，2.598-5.529，6.250-13.942，4.956-12.433，10.895-27.384，43.248-78.924， 0.428-1.154， 81.827-153.066 mg/g， respectively. The HCA results showed that 30 batches of samples were clustered into 3 categories：S1-S10 as one category， S11-S23 as one category，and S24-S30 as one category. The PCA results showed that the compre

hensive scores of 10 batches of samples from the Sichuan production area （S1-S10） ranked among the top 10. The PLS-DA results showed that the variable importance in projection values of berberine hydrochloride， 3-

-feruloylquinic acid， chlorogenic acid and phellodendrine hydrochloride were greater than 1.

CONCLUSIONS

The HPLC fingerprint and content determination methods established in this study are stable and reliable. Chemometric analysis based on multi-component content data can be used for the quality evaluation of

P. chinensis

. Berberine hydrochloride， phellodendrine hydrochloride，and 3-

-feruloylquinic acid may be the differential markers affecting the overall quality of

P. chinensis

关键词

Keywords

references

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Quality evaluation of Phellodendron chinensis based on fingerprint， multi-component content determination and chemometrics analysis

DOI：10.6039/j.issn.1001-0408.2026.20.12

摘要

Abstract

关键词

Keywords

references