| Literature DB >> 26041243 |
Yan Han1, Jun Wen2, Tingting Zhou3, Guorong Fan4.
Abstract
A fingerprint analysis method has been developed for characterization and discrimination of Gardenia jasminoides Ellis from different areas. The chemometrics methods including similarity evaluation, principal components analysis (PCA) and hierarchical clustering analysis (HCA) were introduced to identify more useful chemical markers for improving the quality control standard of dried ripe fruits of G. jasminoides Ellis. Then the selected chemical markers were analyzed by high performance liquid chromatography-diode array detection-electrospray ionization mass spectrometry (HPLC-DAD-ESI-MS) qualitatively and quantitatively. 23 characteristic peaks were assigned while 19 peaks of them were identified by comparing retention times, UV and MS spectra with authentic compounds or literature data. Moreover, 14 of them were determined quantitatively which could effectively evaluate the quality of G. jasminoides Ellis. This study was expected to provide comprehensive information for the quality evaluation of G. jasminoides Ellis, which would be a valuable reference for further study and development of this herb and related medicinal products.Entities:
Keywords: Gardenia jasminoides Ellis; HPLC–DAD–ESI-MS; Hierarchical clustering analysis (HCA); Principal components analysis (PCA); Quality evaluation; Similarity evaluation
Mesh：
Year: 2015 PMID： 26041243 DOI： 10.1016/j.foodchem.2015.05.039
Source DB: PubMed Journal: Food Chem ISSN： 0308-8146 Impact factor: 7.514