posted on 2016-12-16, 00:00authored byDmitry Grinfeld, Konstantin Aizikov, Arne Kreutzmann, Eugen Damoc, Alexander Makarov
This
Article introduces a new computationally efficient noise-tolerant
signal processing method, referred to as phased spectrum deconvolution
method (ΦSDM), designed for Fourier transform mass spectrometry
(FT MS). ΦSDM produces interference-free mass spectra with resolution
beyond the Fourier transform
(FT) uncertainty limit. With a presumption that the oscillation phases
are preserved, the method deconvolves an observed FT spectrum into
a distribution of harmonic components bound to a fixed frequency grid,
which is several times finer than that of FT. The approach shows stability
under noisy conditions, and the noise levels in the resulting spectra
are lower than those of the original FT spectra. Although requiring
more computational power than standard FT algorithms, ΦSDM runs
in a quasilinear time. The method was tested on both synthetic and
experimental data, and consistently demonstrated performance superior
to the FT-based methodologies, be it across the entire mass range
or on a selected mass window of interest. ΦSDM promises substantial
improvements in the spectral quality and the speed of FT MS instruments.
It might also be beneficial for other spectroscopy approaches which
require harmonic analysis for data processing.