[Clustering analysis of HPLC chromatographic fingerprints of Paeonia suffruticosa].
OBJECTIVE
To explore the utility of chromatographic data for quality control of Paeonia suffruticosa, a Chinese herbal medicine.


METHODS
Chromatographic fingerprints of Paeonia suffruticosa were determined by HPLC, the clustering analysis was used for data processing.


RESULTS
The 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.


CONCLUSIONS
The 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.
Sir Sun Sun Shaw Hospital, Medical College of Zhejiang University, Hangzhou 310016, China.
Mei-zhen
MZ
Wu
Yan
Y
He
Li-ying
LY
Tang
Zhu-ju
ZJ
Wang
D002681:China; D002851:Chromatography, High Pressure Liquid / Q000295:instrumentation / Q000379:methods*; D016000:Cluster Analysis; D004365:Drugs, Chinese Herbal / Q000032:analysis* / Q000737:chemistry / Q000592:standards; D017753:Ecosystem; D029596:Paeonia / Q000737:chemistry* / Q000254:growth & development; D018517:Plant Roots / Q000737:chemistry / Q000254:growth & development; D010946:Plants, Medicinal / Q000737:chemistry* / Q000254:growth & development; D011786:Quality Control; D015203:Reproducibility of Results
D004365:Drugs, Chinese Herbal