Study on Quality ofYuan-Hu Zhi-TongTablet from Different Manufacturers by HPLC Fingerprint
10.11842/wst.2015.07.023
- VernacularTitle:HPLC指纹图谱技术评价不同厂家元胡止痛片质量
- Author:
Hailin ZHU
;
Zhaoqing MENG
;
Gang DING
;
Zhenzhong WANG
;
Wei XIAO
- Publication Type:Journal Article
- Keywords:
Yuan-Hu Zhi-Tongtablet;
fingerprint;
similarity analysis;
hierarchical cluster analysis;
principal component analysis
- From:
World Science and Technology-Modernization of Traditional Chinese Medicine
2015;(7):1460-1466
- CountryChina
- Language:Chinese
-
Abstract:
This study was aimed to evaluate the quality ofYuan-Hu Zhi-Tong (YHZT) tablet from different manufacturers by high performance liquid chromatography (HPLC) fingerprint. An HPLC method was developed to establish the fingerprint of 12 batches of YHZT from 10 manufacturers. The common peaks were confirmed by mass spectrometric analysis. Similarity analysis (SA), hierarchical cluster analysis (HCA) and principal component analysis (PCA) were applied to analyze the fingerprint chromatography. The results showed that there were 15 common peaks in which 12 components were from Corydalis Rhizoma and 3 from Radix Angelicae Dahuricae. The similar degrees of 12 batches of YHZT tablet were between 0.498 and 0.999. Based on the values, they could fall into three groups. The result of HCA showed that 12 batches of samples could be divided into 3 classes. The results of PCA indicated that the first three principal components (PCs) could represent the 15 common peaks. According to the scores of 3 PCs, 12 batches of samples could be divided into three categories. The classification result was mainly affected by the components of Corydalis Rhizoma. The classification results of three methods were basically the same. Based on the combination of three methods, 12 samples can be divided into three grades in the aspect of quality. It was concluded that the quality differences of YHZT tablet from different manufacturers were obvious. The combining application of three methods can be used in the evaluation on fingerprint of samples from different sources and influence factor analysis. It can be used as an effective method for quality evaluation.
