Comprehensive quality evaluation of Periploca forrestii produced in Guizhou using multi-index components combined with multivariate statistical analysis
- VernacularTitle: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
- Author:
Lingqin ZENG
1
;
Kang HE
1
;
Jiangtao GUO
1
;
Jie LIU
1
;
Yongping ZHANG
1
;
Yichun SUN
2
;
Huixin LI
2
Author Information
1. College of Pharmacy，Guizhou University of Traditional Chinese Medicine，Guiyang 550025，China
2. Sinopharm Group （Guizhou） Tongjitang Pharmaceutical Co.，Ltd.，Guiyang 550009，China
- Publication Type:Journal Article
- Keywords:
Periploca forrestii;
content determination;
multi-index component;
multivariate statistical analysis;
quality
- From:
China Pharmacy
2023;34(7):802-806
- CountryChina
- Language:Chinese
-
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.
