Elemental Composition determination based on MS

M. Rojas-Cherto, P.T. Kasper, E.L. Willighagen, R. Vreeken, Th. Hankemeijer, T.H. Reijmers

Research output: Contribution to journalArticleAcademicpeer-review

53 Citations (Scopus)

Abstract

Motivation: Identification of metabolites is essential for its use as biomarkers, for research in systems biology, and for drug discovery. The first step before a structure can be elucidated is to determine its elemental composition. High resolution mass spectrometry, which provides the exact mass, together with common constraint-rules, for rejecting false proposed elemental compositions, can not always provide one unique elemental composition solution. Results: The Multi-stage Elemental Formula (MEF) tool is presented in this paper to enable the correct assignment of elemental composition to compounds, their fragment ions, and neutral losses that originate from the molecular ion by using multi-stage mass spectrometry (MSn). The method provided by MEF reduces the list of predicted elemental compositions for each ion by analyzing the elemental compositions of its parent (precursor ion) and descendants (fragments). MSn data of several metabolites were processed using the MEF tool to assign the correct elemental composition and validate the efficacy of the method. Especially the link between the mass accuracy needed to generate one unique elemental composition and the topology of the MSn tree (the width and the depth of the tree) was addressed. This method makes an important step towards semi-automatic de novo identification of metabolites using MSn data.
Original languageEnglish
Pages (from-to)2376-2383
JournalBioinformatics
Volume27
Issue number17
DOIs
Publication statusPublished - 2011

Keywords

  • mass-spectrometry data
  • molecular formulas
  • chemical markup
  • spectral data
  • identification
  • prediction
  • accuracy
  • database
  • system

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