Analysis of MALDI FT-ICR mass spectrometry data: A time series approach

Donald A. Barkauskas, Scott R. Kronewitter, Carlito B Lebrilla, David M Rocke

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry is a technique for high mass-resolution analysis of substances that is rapidly gaining popularity as an analytic tool. Extracting signal from the background noise, however, poses significant challenges. In this article, we model the noise part of a spectrum as an autoregressive, moving average (ARMA) time series with innovations given by a generalized gamma distribution with varying scale parameter but constant shape parameter and exponent. This enables us to classify peaks found in actual spectra as either noise or signal using a reasonable criterion that outperforms a standard threshold criterion.

Original languageEnglish (US)
Pages (from-to)207-214
Number of pages8
JournalAnalytica Chimica Acta
Issue number2
StatePublished - Aug 26 2009


  • Fourier transform ion cyclotron resonance
  • Generalized gamma distribution
  • Matrix-assisted laser desorption/ionization

ASJC Scopus subject areas

  • Biochemistry
  • Analytical Chemistry
  • Spectroscopy
  • Environmental Chemistry


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