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Natural Product Discovery with LC-MS/MS Diagnostic Fragmentation Filtering: Application for Microcystin Analysis
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JoVE Journal Chemistry
Natural Product Discovery with LC-MS/MS Diagnostic Fragmentation Filtering: Application for Microcystin Analysis

Natural Product Discovery with LC-MS/MS Diagnostic Fragmentation Filtering: Application for Microcystin Analysis

DOI:
10.3791/59712-v

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07:18 min

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May 31, 2019

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, , , ,
1Department of Chemistry,Carleton University Ottawa, 2London Research and Development Center,Agriculture and Agri-Food Canada

Chapters

  • 00:04Title
  • 01:04Diagnostic Fragmentation Filtering (DFF) for Microcystin (MC) Analysis
  • 03:37Non-Targeted Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) Dataset Preparation
  • 05:25Results: Representative DFF Plot for MC Analysis of M. aeruginosa Cellular Extract
  • 06:45Conclusion

Summary

Automatic Translation

Automatic Translation

Diagnostic fragmentation filtering, implemented into MZmine, is an elegant, post-acquisition approach to screen LC-MS/MS datasets for entire classes of both known and unknown natural products. This tool searches MS/MS spectra for product ions and/or neutral losses that the analyst has defined as being diagnostic for the entire class of compounds.

Tags

Keywords: Natural ProductsDiagnostic Fragmentation FilteringLC-MS/MSMicrocystinCyanobacteriaToxin AnalysisNew Compound DiscoverySoftwareMZmineMass SpectrometryTandem Mass SpectrometrySample Preparation

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