Artifacts Induced by Selective Blanking of Time-Domain Data in Fourier Transform Mass Spectrometry
| Autor: | Feng Xian, Alan G. Marshall, Christopher L. Hendrickson, Santosh G. Valeja, Steve C. Beu |
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| Rok vydání: | 2013 |
| Předmět: |
Fourier Analysis
Noise (signal processing) Chemistry Analytical chemistry Square wave Signal-To-Noise Ratio Signal Mass Spectrometry Fourier transform ion cyclotron resonance Computational physics Amplitude Signal-to-noise ratio Structural Biology Immunoglobulin G Humans Computer Simulation Time domain Artifacts Spectroscopy Blanking |
| Zdroj: | Journal of the American Society for Mass Spectrometry. 24:1722-1726 |
| ISSN: | 1044-0305 |
| Popis: | Fourier transform mass spectrometry (FTMS) of the isolated isotopic distribution for a highly charged biomolecule produces time-domain signal containing large amplitude signal "beats" separated by extended periods of much lower signal magnitude. Signal-to-noise ratio for data sampled between beats is low because of destructive interference of the signals induced by members of the isotopic distribution. Selective blanking of the data between beats has been used to increase spectral signal-to-noise ratio. However, blanking also eliminates signal components and, thus, can potentially distort the resulting FT spectrum. Here, we simulate the time-domain signal from a truncated isotopic distribution for a single charge state of an antibody. Comparison of the FT spectra produced with or without blanking and with or without added noise clearly show that blanking does not improve mass accuracy and introduces spurious peaks at both ends of the isotopic distribution (thereby making it more difficult to identify posttranslational modifications and/or adducts). Although the artifacts are reduced by use of multiple Gaussian (rather than square wave) windowing, blanking appears to offer no advantages for identifying true peaks or for mass measurement. |
| Databáze: | OpenAIRE |
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