High accurate mass gas chromatography–mass spectrometry for performing isotopic ratio outlier analysis: Applications for nonannotated metabolite detection

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Identification of unknown metabolites is one of the major issues for untargeted metabolomics studies. Isotopic ratio outlier analysis (IROA) technique uses specially designed isotopic patterns to reveal the carbon number of each metabolite and distinguish the biological originated metabolites from artifacts. This chapter describes the procedure to utilize the IROA technique with high accurate mass GC-MS to identify unknown metabolites.

Original languageEnglish (US)
Title of host publicationNeuromethods
PublisherHumana Press Inc.
Pages77-88
Number of pages12
DOIs
StatePublished - 2021

Publication series

NameNeuromethods
Volume159
ISSN (Print)0893-2336
ISSN (Electronic)1940-6045

Keywords

  • High accurate mass GC-MS
  • Isotopic ratio outlier analysis
  • Metabolite identification
  • Metabolomics
  • Yeast

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)
  • Psychiatry and Mental health

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