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Neutral Loss Scan - Based Strategy for Integrated Identification of Amorfrutin Derivatives, New Peroxisome Proliferator-Activated Receptor Gamma Agonists, from Amorpha Fruticosa by UPLC-QqQ-MS/MS and…

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, February 2018
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Title
Neutral Loss Scan - Based Strategy for Integrated Identification of Amorfrutin Derivatives, New Peroxisome Proliferator-Activated Receptor Gamma Agonists, from Amorpha Fruticosa by UPLC-QqQ-MS/MS and UPLC-Q-TOF-MS
Published in
Journal of the American Society for Mass Spectrometry, February 2018
DOI 10.1007/s13361-018-1891-4
Pubmed ID
Authors

Chu Chen, Ying Xue, Qing-Miao Li, Yan Wu, Jian Liang, Lin-Sen Qing

Abstract

Amorfrutins with a 2-hydroxybenzoic acid core structure are promising natural PPARγ agonists with potent antidiabetic activity. Owing to the complex matrix and low concentration in botanical material, the identification of unknown amorfrutins remains a challenge. In the present study, a combined application of UPLC-Q-TOF-MS and UPLC-QqQ-MS was developed to discover unknown amorfrutins from fruits of Amorpha fruticosa. First, reference compounds of amorfrutin A (AA), amorfrutin B (AB), and 2-carboxy-3,5-dihydroxy-4-geranylbibenzyl (AC) were analyzed using UPLC-Q-TOF-MS to reveal the characteristic fragment ions and the possible neutral loss. Second, the extract of A. fruticosa was separated and screened by UPLC-QqQ-MS using neutral loss scan to find out suspect compounds associated with the specified neutral fragment Δm/z 44. Third, the extract was re-analyzed by UPLC-Q-TOF-MS to obtain the exact mass of quasi-molecular ion and fragment ions of each suspect compound, and to subsequently calculate their corresponding molecular formulas. Finally, according to the molecular formula of suspect compound and its fragment ions and comparing with literature data, structure elucidation of four unidentified amorfrutins was achieved. The results indicated that the combination of QqQ-MS neutral loss scan and Q-TOF-MS molecular formula calculation was proven to be a powerful tool for unknown natural product identification, and this strategy provides an effective solution to discover natural products or metabolites of trace content. Graphical Abstract ᅟ.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 13%
Student > Bachelor 2 13%
Researcher 2 13%
Student > Master 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 8 50%
Readers by discipline Count As %
Chemistry 5 31%
Pharmacology, Toxicology and Pharmaceutical Science 2 13%
Psychology 1 6%
Agricultural and Biological Sciences 1 6%
Unknown 7 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 February 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#3,086
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Outputs of similar age
#340,927
of 445,948 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#43
of 59 outputs
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