Study on fingerprint and gray correlation analysis of Paeoniae Radix Rubra from different habitats
10.7501/j.issn.0253-2670.2019.23.030
- Author:
Shi-Peng FU
1
Author Information
1. Heilongjiang University of Chinese Medicine
- Publication Type:Journal Article
- Keywords:
Albiflorin;
Benzoic acid;
Benzoyl paeoniflorin;
Fingerprint;
Gallic acid;
Grey correlation analysis;
Paeoniae Radix Rubra;
Paeoniflorin;
Systematic cluster analysis
- From:
Chinese Traditional and Herbal Drugs
2019;50(23):5865-5871
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To study the fingerprints of Paeoniae Radix Rubra in different habitats, and determine the content of five chemical components (gallic acid, albiflorin, paeoniflorin, benzoic acid, and benzoyl paeoniflorin) and systematically cluster them. The relationship between origin and content was analyzed by grey correlation degree to provide reference for the quality evaluation of Paeoniae Radix Rubra. Methods: Fingerprints of Paeoniae Radix Rubra from 21 different producing areas were constructed by high performance liquid chromatography. The results were classified by principal component analysis and systematic cluster analysis. The gray correlation degree method was used to process the index components and their relative correlations were calculated. Results: HPLC fingerprints of Paeoniae Radix Rubra from 21 habitats were established, 11 common peaks were confirmed, and five of them (gallic acid, albiflorin, paeoniflorin, benzoic acid, and benzoyl paeoniflorin) were identified. The similarity of Paeonia lactiflora was greater than 0.9, and the similarity of Paeonia veitchii was less than 0.9. It was divided into two categories by principal component analysis combined with cluster analysis. The results of grey correlation analysis showed that the relative correlation (ri) was the largest in Gansu, followed by Ganzi in Sichuan. Conclusion: There is a big difference in the relative yield of Paeoniae Radix Rubra in different habitats. This experiment provides a scientific basis for the quality evaluation of Paeoniae Radix Rubra by fingerprint analysis, principal component analysis combined system cluster analysis and grey correlation analysis method.
