Abstract

Due to the interest in the potential pharmacological application of dandelion, the chemical constituents and activities of Taraxacum mongolicum Hand.-Mazz were studied. Box–Behnken response surface methodology was employed to optimize the protocol for extraction of flavonoid from dandelion. The molecular structures of different flavonoid compounds were acquired and analyzed by liquid chromatography-mass spectrometry (LC–MS) and nuclear magnetic resonance (NMR) spectroscopy. Several major flavonoid compounds were isolated and purified, namely, hesperetin-5′-O-β-rhamnoglucoside, hesperetin-7-glucuronide, kaempferol-3-glucoside, baicalein, hyperseroside, which were extracted for the first time from dandelion. Hesperetin-5′-O-β-rhamnoglucoside was identified as a new type of flavonoid that had never reported in the literature. This new flavonoid has outstanding antioxidant activity, as shown by its IC50 value (8.72 mg/L) for scavenging DPPH free radicals. The determination of the structure-related antioxidant activities could be interpreted based on DFT calculations. As such, we have not only illustrated the rich flavonoid contents in Taraxacum mongolicum Hand.-Mazz, but also revealed new types of flavonoid compounds in dandelion in terms of structure and antioxidant properties.

Details

Title
Extraction and identification of new flavonoid compounds in dandelion Taraxacum mongolicum Hand.-Mazz. with evaluation of antioxidant activities
Author
Wang, Rong 1 ; Li, Weihua 2 ; Fang, Cao 3 ; Zheng, Xinxin 3 ; Liu, Chao 3 ; Huang, Qing 3 

 Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei Institute of Intelligent Agriculture, Hefei Institutes of Physical Science, Hefei, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Science & Technology of China, Science Island Branch of Graduate School, Hefei, China (GRID:grid.59053.3a) (ISNI:0000000121679639); Anhui Jianzhu University, School of Environment and Energy Engineering, Heifei, China (GRID:grid.440647.5) (ISNI:0000 0004 1757 4764) 
 Anhui Jianzhu University, School of Environment and Energy Engineering, Heifei, China (GRID:grid.440647.5) (ISNI:0000 0004 1757 4764) 
 Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei Institute of Intelligent Agriculture, Hefei Institutes of Physical Science, Hefei, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Science & Technology of China, Science Island Branch of Graduate School, Hefei, China (GRID:grid.59053.3a) (ISNI:0000000121679639) 
Pages
2166
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2774008872
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.