Document Detail


Least-Squares Fitting of Time-Domain Signals for Fourier Transform Mass Spectrometry.
MedLine Citation:
PMID:  24789745     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
To advance Fourier transform mass spectrometry (FTMS)-based molecular structure analysis, corresponding development of the FTMS signal processing methods and instrumentation is required. Here, we demonstrate utility of a least-squares fitting (LSF) method for analysis of FTMS time-domain (transient) signals. We evaluate the LSF method in the analysis of single- and multiple-component experimental and simulated ion cyclotron resonance (ICR) and Orbitrap FTMS transient signals. Overall, the LSF method allows one to estimate the analytical limits of the conventional instrumentation and signal processing methods in FTMS. Particularly, LSF provides accurate information on initial phases of sinusoidal components in a given transient. For instance, the phase distribution obtained for a statistical set of experimental transients reveals the effect of the first data-point problem in FT-ICR MS. Additionally, LSF might be useful to improve the implementation of the absorption-mode FT spectral representation for FTMS applications. Finally, LSF can find utility in characterization and development of filter-diagonalization method (FDM) MS.
Authors:
Tagir Aushev; Anton N Kozhinov; Yury O Tsybin
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-5-1
Journal Detail:
Title:  Journal of the American Society for Mass Spectrometry     Volume:  -     ISSN:  1879-1123     ISO Abbreviation:  J. Am. Soc. Mass Spectrom.     Publication Date:  2014 May 
Date Detail:
Created Date:  2014-5-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9010412     Medline TA:  J Am Soc Mass Spectrom     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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