Literature DB >> 31005811

An integration of UPLC-DAD/ESI-Q-TOF MS, GC-MS, and PCA analysis for quality evaluation and identification of cultivars of Chrysanthemi Flos (Juhua).

Jing Nie1, Ling Xiao1, Lamei Zheng2, Zhifeng Du2, Dan Liu2, Jiewen Zhou2, Jin Xiang2, Junjie Hou1, Xiaogang Wang2, Jinbo Fang3.   

Abstract

BACKGROUND: Chrysanthemi Flos (CF), as a popular traditional Chinese medicine (TCM), has five main cultivars in China, namely "Chuju", "Boju", "Gongju", "Huaiju" and "Hangju". Due to their habitats and processing methods, great quality variations occur yet no systematical study has ever been carried out to evaluate such variations.
PURPOSE: In this study, we aim to establish a new approach that can serve both as a quality control method and as an identification method for cultivars of CF.
METHOD: The components in CF samples were identified by a combination of UPLC-ESI-Q-TOF/MS and GC/MS. Furthermore, a multimodal quantitative method was established by UPLC-UV coupled with principal component analysis (PCA) and the similarity evaluation system (SES), which was used to control and identify four cultivars of CF.
RESULTS: 18 compounds of flavonoids and caffeoylquinic acids were identified and ten of them were quantified using UPLC-ESI-Q-TOF/MS. Different cultivars of CF could be clearly distinguished with the fingerprints evaluation and principal component analysis (PCA). A total of 74 volatile compounds were detected by GC/MS. The distinctness of volatile components was observed. By the combination of UPLC-ESI-Q-TOF/MS and GC/MS, an identification and quality control method for CF was successfully established.
CONCLUSION: The combination of UPLC-ESI-Q-TOF/MS and GC/MS could act as a comprehensive multimodal method for both identification and quality control of herbal medicines. This study provided new insights into the overall evaluation method for herbal medicines possessing different cultivars.
Copyright © 2018. Published by Elsevier GmbH.

Entities:  

Keywords:  Chrysanthemi Flos; GC/MS; PCA; Quality control; UPLC-ESI-Q-TOF/MS

Mesh:

Substances:

Year:  2018        PMID: 31005811     DOI: 10.1016/j.phymed.2018.12.026

Source DB:  PubMed          Journal:  Phytomedicine        ISSN: 0944-7113            Impact factor:   5.340


  5 in total

1.  The Comprehensive Evaluation of Safflowers in Different Producing Areas by Combined Analysis of Color, Chemical Compounds, and Biological Activity.

Authors:  Zong-Jin Pu; Shi-Jun Yue; Gui-Sheng Zhou; Hui Yan; Xu-Qin Shi; Zhen-Hua Zhu; Sheng-Liang Huang; Guo-Ping Peng; Yan-Yan Chen; Ji-Qing Bai; Xiao-Ping Wang; Shu-Lan Su; Yu-Ping Tang; Jin-Ao Duan
Journal:  Molecules       Date:  2019-09-17       Impact factor: 4.411

2.  Qualitative analysis of chemical components in Lianhua Qingwen capsule by HPLC-Q Exactive-Orbitrap-MS coupled with GC-MS.

Authors:  Shuai Fu; Rongrong Cheng; Zixin Deng; Tiangang Liu
Journal:  J Pharm Anal       Date:  2021-01-30

3.  Characteristic Volatile Fingerprints of Four Chrysanthemum Teas Determined by HS-GC-IMS.

Authors:  Zhiling Wang; Yixin Yuan; Bo Hong; Xin Zhao; Zhaoyu Gu
Journal:  Molecules       Date:  2021-11-24       Impact factor: 4.411

Review 4.  The genus Chrysanthemum: Phylogeny, biodiversity, phytometabolites, and chemodiversity.

Authors:  Da-Cheng Hao; Yanjun Song; Peigen Xiao; Yi Zhong; Peiling Wu; Lijia Xu
Journal:  Front Plant Sci       Date:  2022-08-11       Impact factor: 6.627

Review 5.  Caffeoylquinic acids: chemistry, biosynthesis, occurrence, analytical challenges, and bioactivity.

Authors:  Armando Alcázar Magaña; Naofumi Kamimura; Amala Soumyanath; Jan F Stevens; Claudia S Maier
Journal:  Plant J       Date:  2021-07-23       Impact factor: 7.091

  5 in total

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