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Data processing in fourier transform ion cyclotron resonance mass spectrometry
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Qi, Yulin and O'Connor, Peter B. (2014) Data processing in fourier transform ion cyclotron resonance mass spectrometry. Mass Spectrometry Reviews, 33 (5). pp. 333-352. doi:10.1002/mas.21414 ISSN 0277-7037.
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Official URL: http://dx.doi.org/10.1002/mas.21414
Abstract
The Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometer intricately couples advanced physics, instrumentation, and electronics with chemical and particularly biochemical research. However, general understanding of the data processing methodologies used lags instrumentation, and most data processing algorithms we are familiar with in FT-ICR are not well studied; thus, professional skill and training in FT-ICR operation and data analysis is still the key to achieve high performance in FT-ICR. This review article is focused on FT-ICR data processing, and explains the procedures step-by-step for users with the goal of maximizing spectral features, such as mass accuracy, resolving power, dynamic range, and detection limits. © 2014 Wiley Periodicals, Inc. Mass Spec Rev
Item Type: | Journal Article | ||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Chemistry | ||||||||
Journal or Publication Title: | Mass Spectrometry Reviews | ||||||||
Publisher: | John Wiley & Sons Inc | ||||||||
ISSN: | 0277-7037 | ||||||||
Official Date: | September 2014 | ||||||||
Dates: |
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Volume: | 33 | ||||||||
Number: | 5 | ||||||||
Page Range: | pp. 333-352 | ||||||||
DOI: | 10.1002/mas.21414 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access |
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