Compressive mass analysis on quadrupole ion trap systems

Evan Xuguang Chen, Michael Gehm, Ryan Danell, Mitch Wells, Jeffrey T. Glass, David Brady

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

(Graph Presented) Conventionally, quadrupole ion trap mass spectrometers eject ions of different mass-to-charge ratio (m/z) in a sequential fashion by performing a scan of the rf trapping voltage amplitude. Due to the inherent sparsity of most mass spectra, the detector measures no signal for much of the scan time. By exploiting this sparsity property, we propose a new compressive and multiplexed mass analysis approach - multi Resonant Frequency Excitation (mRFE) ejection. This new approach divides the mass spectrum into several mass subranges and detects all the subrange spectra in parallel for increased mass analysis speed. Mathematical estimation of standard mass spectrum is demonstrated while statistical classification on the parallel measurements remains viable because of the sparse nature of the mass spectra. This method can reduce mass analysis time by a factor of 3-6 and increase system duty cycle by 2x. The combination of reduced analysis time and accurate compound classification is demonstrated in a commercial quadrupole ion trap (QIT) system.

Original languageEnglish (US)
Pages (from-to)1295-1304
Number of pages10
JournalJournal of the American Society for Mass Spectrometry
Volume25
Issue number7
DOIs
StatePublished - Jul 2014
Externally publishedYes

Keywords

  • CIT
  • Compressive sensing
  • Computational mass spectrometer
  • Computational sensing
  • Multiplexed sensing
  • QIT

ASJC Scopus subject areas

  • Structural Biology
  • Spectroscopy

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