Analysis of HPLC Fingerprint and Multi-component Chemical Pattern Recognition of Plantaginis Semen from Different Producing Areas in Jiangxi Province

Chao LI; Huan YU; Rou WEN; Li-ping YAN; Shou-wen ZHANG; Qian-feng GONG; Xiao-ping YUAN

doi:10.13422/j.cnki.syfjx.20191355

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Analysis of HPLC Fingerprint and Multi-component Chemical Pattern Recognition of Plantaginis Semen from Different Producing Areas in Jiangxi Province

Pharmacy and Processing | 更新时间：2021-02-09

- Analysis of HPLC Fingerprint and Multi-component Chemical Pattern Recognition of Plantaginis Semen from Different Producing Areas in Jiangxi Province
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 25, Issue 15, Pages: 161-167(2019)
- 作者机构：
  
  1.江西中医药大学　药学院，南昌　 330004；
  2.江西樟树天齐堂中药饮片有限公司，江西　樟树　 336000
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20191355
  CLC： R22; R931; R28; C37; O657.7
- Received：29 November 2018，
  
  Published Online：19 March 2019，
  
  Published：05 August 2019
- 稿件说明：
移动端阅览
Chao LI, Huan YU, Rou WEN, et al. Analysis of HPLC Fingerprint and Multi-component Chemical Pattern Recognition of Plantaginis Semen from Different Producing Areas in Jiangxi Province[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(15): 161-167.
DOI：

Chao LI, Huan YU, Rou WEN, et al. Analysis of HPLC Fingerprint and Multi-component Chemical Pattern Recognition of Plantaginis Semen from Different Producing Areas in Jiangxi Province[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(15): 161-167. DOI： 10.13422/j.cnki.syfjx.20191355.

摘要

目的：

建立车前子HPLC指纹图谱检测方法，结合化学模式识别方法对江西不同产区车前子样品进行分析，并测定其中5种有效成分的含量，为科学评价和有效控制该药材的质量提供参考。

方法：

利用HPLC检测34批车前子药材，采用“中药色谱指纹图谱相似度评价系统”(2012版)进行相似度评价，以其色谱峰信息为数据来源，利用化学模式识别方法综合分析江西道地药材车前子的质量，对筛选并指认出的5个有效成分京尼平苷酸、大车前苷、毛蕊花糖苷、木犀草苷、异毛蕊花糖苷进行定量分析。

结果：

江西不同产区车前子样品的相似度均>0.86，说明江西不同产区车前子相似度良好。利用正交偏最小二乘法-判别分析能较好地区分不同产区车前子药材，且可判断与车前子质量相关性较强的化学成分。5种有效成分的含量在不同产区车前子中仍存在一定差异，其中尤以大车前苷的含量差别较大。

结论：

建立的车前子HPLC指纹图谱特征性强，结合化学模式识别方法可有效的评价车前子质量并区分其不同产区，可为该药材的质量控制提供参考依据。

Abstract

Objective:

To establish a HPLC fingerprint detection method of Plantaginis Semen

and analyze the samples from different producing areas in Jiangxi province by combining with chemical pattern recognition method

and the contents of five ingredients in Plantaginis Semen were determined.

Method:

A total of 34 batches of Plantaginis Semen medicinal materials were detected by HPLC. The similarity evaluation was carried out by the 2012 edition of similarity evaluation system of chromatographic fingerprint of traditional Chinese medicine. The chromatographic peak information was used as the data source

and three chemical pattern recognition methods were used to comprehensively analyze the quality of this medicinal herb. Quantitative analysis was performed on the 5 active components

including geniposidic acid

plantamajoside

acteoside

galuteolin and isoacteoside.

Result:

The similarities between Plantaginis Semen samples from different producing areas in Jiangxi province were >0.86. Orthogonal partial least squares-discriminant analysis (OPLS-DA) could distinguish samples from different producing areas

and be used to determine the chemical components

which had strong correlation with the quality of Plantaginis Semen. The contents of 5 active components in samples from different producing areas were different to some degree

especially in the content of plantamajoside.

Conclusion:

The established HPLC fingerprint of Plantaginis Semen has strong characteristics

combined with chemical pattern recognition method

it can effectively evaluate the quality of Plantaginis Semen and distinguish its producing areas.

关键词

Keywords

references

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