Analysis of HPLC Fingerprint and Their Multicomponent Chemical Pattern Recognition of Puerariae Lobatae Radix from Different Habitats and Puerariae Thomsonii Radix
10.13422/j.cnki.syfjx.20182005
- VernacularTitle: 不同产地葛根与粉葛的HPLC指纹图谱及其多成分化学模式识别分析
- Author:
Yuan-zhen YANG
1
;
Ya-qi WANG
1
;
Lian-qi HU
1
;
Jiao-jiao JIAO
2
;
Ming YANG
1
Author Information
1. Jiangxi University of Traditional Chinese Medicine(TCM), Nanchang 330004, China
2. Chengdu University of TCM, Chengdu 611137, China
- Publication Type:Research Article
- Keywords:
Puerariae Lobatae Radix;
Puerariae Thomsonii Radix;
specific chromatograms;
similarity evaluation;
chemical pattern recognition;
daidzin;
3'-hydroxypuerarin
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2019;25(4):162-166
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To establish HPLC specific chromatograms of Puerariae Lobatae Radix(PLR) and Puerariae Thomsonii Radix(PTR), and make a distinction about their species and different habitats of PLR by chemical pattern recognition, provide reliable methods for scientific evaluation and effective control of their quality. Method: HPLC was employed to determine the contents of chemical ingredients in 23 batches of PLR and PTR.The similarity analyzed with "Similarity Evaluation System for Chromatographic Fingerprint of Chinese Materia Medica"(version of 2004A), then a common pattern was established.Based on its chemical fingerprint information, the quality of PLR and PTR was comprehensively analyzed by three kinds of chemical pattern recognition methods. Result: In addition to sample S22(from Shaanxi province), the similarities of 23 batches of samples were more than 0.9, which showed that similarity of PLR and PTR was good, this method can not differentiate them.Principal component analysis(PCA) could only identify PLR and PTR, but partial least squares-discriminant analysis(PLS-DA) could distinguish PLR from PTR and the producing areas of PLR with model interpretation of 96.4% and prediction of 74.6%.The result of hierarchical cluster analysis(HCA) was consistent with PLS-DA. Conclusion: Chemical pattern recognition method can make a distinction between PLR and PTR, as well as different habitats of PLR;it is suitable for quality control of their medicinal materials.
