Establishment of UPLC Fingerprint ，Cluster Analysis and Principal Component Analysis of Fortunella margarita
- VernacularTitle:金橘药材的UPLC指纹图谱建立、聚类分析及主成分分析
- Author:
Huahua HUANG
1
;
Mingjun WANG
1
;
Mingqing HUANG
2
;
Shishi LYU
1
;
Shengjiang WANG
1
Author Information
1. Dept. of Pharmacy，Xiamen Medical College/Fujian Provincial Key Lab of Traditional Chinese Medicine/Fujian Provincial Key Lab of Traditional Chinese Medicine Finish Processing and Health Product Development，Fujian Xiamen 361023，China
2. Co llege of Pharmacy，Fujian University of TCM，Fuzhou 350122，China
- Publication Type:Journal Article
- Keywords:
Fortunella margarita;
UPLC;
Fingerprint;
Similarity evaluation;
Cluster analysis;
Principal component analysis
- From:
China Pharmacy
2019;30(12):1661-1665
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE： To establish UPLC fingerprint of Fortunella margarita， and to conduct its cluster analysis and principal component analysis. METHODS： UPLC method was adopted. The determination was performed on Waters Acquity UPLC BEH C18 column with mobile phase consisted of acetonitrile-0.1％ phosphoric acid solution （gradient elution） at the flow rate of 0.3 mL/min. The detection wavelength was set at 330 nm， and sample size was 2 μL. Using fortunellin as reference， UPLC fingerprints of 8 batches of F. margarita were determined. The similarity of 8 batches of samples was evaluated by TCM Chromatographic Fingerprint Similarity Evaluation System（2012 edition） to confirm common peak. Cluster analysis and principal component analysis were performed by using SPSS 24.0 software. RESULTS： There were 24 common peaks in UPLC fingerprints of 8 batches of sample，the similarity of which was higher than 0.97. Cluster analysis showed that 8 batches of samples were clustered into 2 categories. S1， S2， S3， S4， S6， S7 and S8 were clustered into one category； S5 was clustered into the other category. By principal component analysis， the accumulative contribution rate of three main components was 81.366％. CONCLUSIONS： Established UPLC fingerprint， the results of cluster analysis and principal component analysis can provide reference for quality control of F. margarita.
