Clustering analysis of HPLC chromatographic fingerprints of Paeonia suffruticosa.
- Author:
Mei-zhen WU
1
;
Yan HE
;
Li-ying TANG
;
Zhu-ju WANG
Author Information
- Publication Type:Journal Article
- MeSH: China; Chromatography, High Pressure Liquid; instrumentation; methods; Cluster Analysis; Drugs, Chinese Herbal; analysis; chemistry; standards; Ecosystem; Paeonia; chemistry; growth & development; Plant Roots; chemistry; growth & development; Plants, Medicinal; chemistry; growth & development; Quality Control; Reproducibility of Results
- From: China Journal of Chinese Materia Medica 2007;32(11):1054-1056
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo explore the utility of chromatographic data for quality control of Paeonia suffruticosa, a Chinese herbal medicine.
METHODChromatographic fingerprints of Paeonia suffruticosa were determined by HPLC, the clustering analysis was used for data processing.
RESULTThe quantitative differences among different growing areas were found and could be used to classify herbals from different growing areas, while there seemed to be no quantitative differences for processing factor.
CONCLUSIONThe method could be used in quality control for monitoring herbal quality control, and the result also suggested that different growing areas may greatly affected the herbal qualities.
