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Two‐dimensional Fourier transform ion cyclotron resonance mass spectrometry: reduction of scintillation noise using Cadzow data processing
Author(s) -
Agthoven Maria A.,
Coutouly MarieAude,
Rolando Christian,
Delsuc MarcAndré
Publication year - 2011
Publication title -
rapid communications in mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 136
eISSN - 1097-0231
pISSN - 0951-4198
DOI - 10.1002/rcm.5002
Subject(s) - fourier transform ion cyclotron resonance , chemistry , mass spectrometry , ion cyclotron resonance , noise (video) , fourier transform , analytical chemistry (journal) , ion , selected ion monitoring , noise reduction , cyclotron resonance , cyclotron , physics , chromatography , artificial intelligence , acoustics , gas chromatography–mass spectrometry , organic chemistry , quantum mechanics , computer science , image (mathematics)
In two‐dimensional Fourier transform ion cyclotron resonance mass spectrometry (2D FTICR‐MS), scintillation noise, caused mostly by fluctuations in the number of ions in the ICR cell, is the leading cause for errors in spectrum interpretation. In this study, we adapted an algorithm based on singular value decomposition and first introduced by Cadzow et al. ( IEE Proceedings Pt. F 1987, 134, 69) to 2D FTICR‐MS and we measured its performance in terms of noise reduction without losing signal information in the 2D mass spectrum. Copyright © 2011 John Wiley & Sons, Ltd.