Comprehensive quality evaluation of <italic style="font-style: italic">Periploca forrestii </italic>produced in Guizhou using multi-index components combined with multivariate statistical analysis

ZENG Lingqin; HE Kang; GUO Jiangtao; LIU Jie; ZHANG Yongping; SUN Yichun; LI Huixin

doi:10.6039/j.issn.1001-0408.2023.07.07

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Comprehensive quality evaluation of Periploca forrestii produced in Guizhou using multi-index components combined with multivariate statistical analysis

更新时间：2025-09-25

- Comprehensive quality evaluation of Periploca forrestii produced in Guizhou using multi-index components combined with multivariate statistical analysis
- ZHONGGUO YAOFANG Vol. 34, Issue 7, Pages: 802-806(2023)
- 作者机构：
  
  1.贵州中医药大学药学院，贵阳;550025
  2.国药集团（贵州）同济堂制药有限公司，贵阳　550009
- 作者简介：
- 基金信息：
- DOI：10.6039/j.issn.1001-0408.2023.07.07
  CLC： R917
- Received：29 September 2022，
  
  Revised：2023-02-26，
  
  Accepted：28 February 2023，
  
  Published：15 April 2023
- 稿件说明：
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曾令琴,何康,郭江涛,等.多指标成分结合多元统计分析法综合评价黔产黑骨藤质量[J].中国药房,2023,34(07):802-806.

ZENG Lingqin,HE Kang,GUO Jiangtao,et al.Comprehensive quality evaluation of Periploca forrestii produced in Guizhou using multi-index components combined with multivariate statistical analysis[J].ZHONGGUO YAOFANG,2023,34(07):802-806.
曾令琴,何康,郭江涛,等.多指标成分结合多元统计分析法综合评价黔产黑骨藤质量[J].中国药房,2023,34(07):802-806. DOI： 10.6039/j.issn.1001-0408.2023.07.07.

ZENG Lingqin,HE Kang,GUO Jiangtao,et al.Comprehensive quality evaluation of Periploca forrestii produced in Guizhou using multi-index components combined with multivariate statistical analysis[J].ZHONGGUO YAOFANG,2023,34(07):802-806. DOI： 10.6039/j.issn.1001-0408.2023.07.07.

摘要

目的

建立多指标成分结合多元统计分析的综合质量评价方法，综合评价黑骨藤药材的质量。

方法

以贵州不同产地的11批黑骨藤药材为样品，采用高效液相色谱法测定其中新绿原酸、隐绿原酸、绿原酸、原花青素A2、异绿原酸A、异绿原酸C的含量，并采用聚类热图分析、灰色关联度分析（GRA）和熵权逼近理想解排序（TOPSIS）法综合评价其质量。

结果

含量测定的方法学考察结果均符合相关规定，各待测成分在各自进样量范围内线性关系和准确度均良好。11批样品中绿原酸、隐绿原酸、新绿原酸、原花青素A2、异绿原酸A、异绿原酸C的含量分别为3.650～7.302、0.888～2.575、1.371～2.386、0.947～1.469、0.084～0.169、0.725～1.067 mg/g；各成分含量差异显著，其中以绿原酸含量最高，异绿原酸A最低。综合聚类热图、GRA和TOPSIS分析结果显示，样品S5和S10的综合质量相对较好。

结论

所建立的含量测定方法准确、稳定、简便，结合多元统计分析方法，可用于黑骨藤药材的质量评价。在11批不同产地样品中，以贵州省安顺市西秀区旧州镇和蔡官镇所产样品的质量相对较好。

Abstract

OBJECTIVE

To establish comprehensive quality evaluation method based on multi-index components combined with multivariate statistical analysis， and to comprehensively evaluate the quality of

Periploca forrestii.

METHODS

Taking 11 batches of

P. forrestii

medicinal materials from different areas in Guizhou as samples， the contents of neochlorogenic acid， cryptochlorogenic acid， chlorogenic acid， procyanidin A2， isochlorogenic acid A and isochlorogenic acid C were determined by HPLC. Clustering heat map analysis， grey correlation analysis（GRA） and technique for order preference by similarity to ideal solution（TOPSIS） were used to evaluate the quality of

P. forrestii.

RESULTS

The results of methodological investigation of content determination were in accordance with the relevant regulations， and the linear relationship and accuracy of each component were good in their respective sampling range. The contents of chlorogenic acid， cryptochlorogenic acid， neochlorogenic acid， procyanidin A2， isochlorogenic acid A and isochlorogenic acid C in 11 batches of samples were 3.650-7.302， 0.888-2.575， 1.371-2.386， 0.947-1.469， 0.084-0.169 and 0.725-1.067 mg/g， respectively. The content of each component was significantly different， with the highest content of chlorogenic acid and the lowest content of isochlorogenic acid A. The comprehensive results of cluster heat map， GRA and TOPSIS analysis showed that the comprehensive quality of S5 and S10 was relatively good.

CONCLUSIONS

The established method is accurate， stable and simple. Combined with multivariate statistical analysis method， it can be used for quality evaluation of

P. forrestii

. The quality of samples from Jiuzhou Town and Caiguan Town of Xixiu District in Anshun City of Guizhou Province are relatively good among 11 different origin samples.

关键词

Keywords

references

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Comprehensive quality evaluation of Periploca forrestii produced in Guizhou using multi-index components combined with multivariate statistical analysis

DOI：10.6039/j.issn.1001-0408.2023.07.07

摘要

Abstract

关键词

Keywords

references