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Orbitrap_SciLib
Reputable Mentor II
Reputable Mentor II
Reiko Kiyonami, Caroline Ding, Seema Sharma and Andreas Huhmer
Metabolomics 2019
Purpose: Develop a structure-based MSn workflow to collect more structurally relevant fragment ion information for the annotation of saponins from traditional Chinese medicines with increased coverage and confidence. Methods: All the MS and MSn data were collected with a Thermo Scientific™ Orbitrap ID-X™ Tribrid™ mass spectrometer. We collected MS2 spectra on precursor ions detected in the survey MS scan within a 1.2 second cycle time. Higher order MSn (3-4) spectra were only collected when the instrument detected the sugar neutral loss in MS2 and/or MS3 data. The MSn spectral tree data were processed using Thermo Scientific™ Mass Frontier™ 8.0 and Thermo Scientific™ Compound Discoverer™ 3.1 software. Results: The structure-based MSn workflow was able to annotate 127 saponin compounds from a traditional Chinese medicine, Sanqi.


Thermo Fisher Scientific, San Jose
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Last update:
‎10-15-2021 08:20 AM
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AnalyteGuru
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