HPLC fingerprint of fruits of Gardenia Fructus based on cluster analysis and principal component analysis
10.7501/j.issn.0253-2670.2018.19.028
- VernacularTitle: 基于聚类分析和主成分分析的栀子指纹图谱研究
- Author:
Xiao-Mei FU
1
Author Information
1. School of Pharmacy, Jiangxi University of Traditional Chinese Medicine
- Publication Type:Journal Article
- Keywords:
Cluster analysis;
Fingerprint;
Gardeniae Fructus;
Gardeniae jasminoides Ellis f. logicarpa Z. W. Xie et Okada.;
Gardeniae jasminoides Ellis var. grandiflora Nakai;
HPLC;
Principal component analysis
- From:
Chinese Traditional and Herbal Drugs
2018;49(19):4653-4661
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish an HPLC fingerprint method of Gardeniae Fructus which could provide the basis for its authenticity identification and quality evaluation. Methods HPLC method was adopted to construct the fingerprint of Gardeniae Fructus and its main confused species (G. jasminoides f. logicarpa and G. jasminoides var. grandiflora). HPLC-ESI-MS was applied to identify the common peaks. The cluster analysis (CA) and principal component analysis (PCA) were used to classify the samples. Results The HPLC fingerprint of Gardeniae Fructus was obtained with 17 common peaks, and 15 common peaks were identified using HPLC-ESI-MS. A total of 22 batches of the fruits of Gardenia were classified to Gardeniae Fructus, G. jasminoides Ellis f. logicarpa, and G. jasminoides var. grandiflora by CA and PCA. Conclusion The establishment of HPLC fingerprint of Gardeniae Fructus and the application of chemical pattern recognition can provide scientific basis for authenticity identification and quality control of Gardeniae Fructus.
