Strategy for Screening of Antioxidant Compounds from Two Ulmaceae Species Based on Liquid Chromatography-Mass Spectrometry

Liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics implies that annotated metabolites can serve as potential markers of the associated bioactivities of plant extracts. Firstly, we selected and (Family: Ulmaceae) from 16 Korean plant species based on their distinct principa...

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Published inMolecules (Basel, Switzerland) Vol. 23; no. 7; p. 1830
Main Authors Won, Joong Yeun, Son, Su Young, Lee, Sunmin, Singh, Digar, Lee, Sarah, Lee, Jong Seok, Lee, Choong Hwan
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 23.07.2018
MDPI
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Summary:Liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics implies that annotated metabolites can serve as potential markers of the associated bioactivities of plant extracts. Firstly, we selected and (Family: Ulmaceae) from 16 Korean plant species based on their distinct principal component analysis (PCA) patterns in LC-MS datasets and antioxidant activity assays. Further, we chose 40% solid-phase extraction (SPE) extracts of the two species displaying the highest antioxidant activities coupled with distinct PCA patterns. Examining the metabolite compositions of the 40% SPE extracts, we observed relatively higher abundances of quercetin, kaempferol, and isorhamnetin -glucosides for , whereas quercetin, isorhamnetin -glucuronides, and procyanidin dimer were relatively higher in . These metabolites were clearly distinguished in pathway map and displayed strong positive correlations with antioxidant activity. Further, we performed preparative high-performance liquid chromatography (prep-HPLC) analysis coupled with the 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) assay to validate their functional correlations. As a result, quercetin -sophoroside was determined as the main antioxidant in , while isorhamnetin -glucuronide and procyanidin dimer were the primary antioxidants in . The current study suggests that the LC-MS-based untargeted metabolomics strategy can be used to illuminate subtle metabolic disparities as well as compounds associated with bioactivities.
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ISSN:1420-3049
1420-3049
DOI:10.3390/molecules23071830