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Themis : batch preprocessing for ultrahigh-resolution mass spectra of complex mixtures
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Gavard, Remy, Rossell, David, Spencer, Simon E. F. and Barrow, Mark P. (2017) Themis : batch preprocessing for ultrahigh-resolution mass spectra of complex mixtures. Analytical Chemistry, 89 (21). pp. 11383-11390. doi:10.1021/acs.analchem.7b02345 ISSN 0003-2700.
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Official URL: http://dx.doi.org/10.1021/acs.analchem.7b02345
Abstract
Fourier transform ion cyclotron resonance mass spectrometry affords the resolving power to determine an unprecedented number of components in complex mixtures, such as petroleum. The software tools required to also analyze these data struggle to keep pace with advancing instrument capabilities and increasing quantities of data, particularly in terms of combining information efficiently across multiple replicates. Improved confidence in data and the use of replicates is particularly important where strategic decisions will be based upon the analysis. We present a new algorithm named Themis, developed using R, to jointly preprocess replicate measurements of a sample with the aim of improving consistency as a preliminary step to assigning peaks to chemical compositions. The main features of the algorithm are quality control criteria to detect failed runs, ensuring comparable magnitudes across replicates, peak alignment, and the use of an adaptive mixture model-based strategy to help distinguish true peaks from noise. The algorithm outputs a list of peaks reliably observed across replicates and facilitates data handling by preprocessing all replicates in a single step. The processed data produced by our algorithm can subsequently be analyzed by use of relevant specialized software. While Themis has been demonstrated with petroleum as an example of a complex mixture, its basic framework will be useful for complex samples arising from a variety of other applications.
Item Type: | Journal Article | |||||||||
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Subjects: | Q Science > QD Chemistry | |||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Chemistry Faculty of Science, Engineering and Medicine > Research Centres > Molecular Organisation and Assembly in Cells (MOAC) Faculty of Science, Engineering and Medicine > Science > Statistics |
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Library of Congress Subject Headings (LCSH): | Ion cyclotron resonance spectrometry, Fourier transformations | |||||||||
Journal or Publication Title: | Analytical Chemistry | |||||||||
Publisher: | American Chemical Society | |||||||||
ISSN: | 0003-2700 | |||||||||
Official Date: | 6 October 2017 | |||||||||
Dates: |
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Volume: | 89 | |||||||||
Number: | 21 | |||||||||
Page Range: | pp. 11383-11390 | |||||||||
DOI: | 10.1021/acs.analchem.7b02345 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||
Date of first compliant deposit: | 9 November 2017 | |||||||||
Date of first compliant Open Access: | 6 October 2018 | |||||||||
RIOXX Funder/Project Grant: |
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