Least-Squares Fitting of Time-Domain Signals for Fourier Transform Mass Spectrometry
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.
Keywords: Fourier transform (FT) ; Fourier transform mass spectrometry (FTMS) ; Transient signal ; Least-squares fitting (LSF) ; Filter-diagonalization method (FDM) ; Absorption mode ; Phase correction ; First data-point problem ; Ion cyclotron resonance (ICR) ; Orbitrap
Record created on 2014-05-05, modified on 2016-08-09