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“Lossless” compression of high resolution mass spectra of small molecules

Fourier transform ion cyclotron resonance (FTICR) provides the highest resolving power of any commercially available mass spectrometer. This advantage is most significant for species of low mass-to-charge ratio (m/z), such as metabolites. Unfortunately, FTICR spectra contain a very large number of d...

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Detalles Bibliográficos
Autores principales: Blanckenburg, Bo, van der Burgt, Yuri E. M., Deelder, André M., Palmblad, Magnus
Formato: Texto
Lenguaje:English
Publicado: Springer US 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2899016/
https://www.ncbi.nlm.nih.gov/pubmed/20676216
http://dx.doi.org/10.1007/s11306-010-0202-2
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author Blanckenburg, Bo
van der Burgt, Yuri E. M.
Deelder, André M.
Palmblad, Magnus
author_facet Blanckenburg, Bo
van der Burgt, Yuri E. M.
Deelder, André M.
Palmblad, Magnus
author_sort Blanckenburg, Bo
collection PubMed
description Fourier transform ion cyclotron resonance (FTICR) provides the highest resolving power of any commercially available mass spectrometer. This advantage is most significant for species of low mass-to-charge ratio (m/z), such as metabolites. Unfortunately, FTICR spectra contain a very large number of data points, most of which are noise. This is most pronounced at the low m/z end of spectra, where data point density is the highest but peak density low. We therefore developed a filter that offers lossless compression of FTICR mass spectra from singly charged metabolites. The filter relies on the high resolving power and mass measurement precision of FTICR and removes only those m/z channels that cannot contain signal from singly charged organic species. The resulting pseudospectra still contain the same signal as the original spectra but less uninformative background. The filter does not affect the outcome of standard downstream chemometric analysis methods, such as principal component analysis, but use of the filter significantly reduces memory requirements and CPU time for such analyses. We demonstrate the utility of the filter for urinary metabolite profiling using direct infusion electrospray ionization and a 15 tesla FTICR mass spectrometer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-010-0202-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-28990162010-07-29 “Lossless” compression of high resolution mass spectra of small molecules Blanckenburg, Bo van der Burgt, Yuri E. M. Deelder, André M. Palmblad, Magnus Metabolomics Original Paper Fourier transform ion cyclotron resonance (FTICR) provides the highest resolving power of any commercially available mass spectrometer. This advantage is most significant for species of low mass-to-charge ratio (m/z), such as metabolites. Unfortunately, FTICR spectra contain a very large number of data points, most of which are noise. This is most pronounced at the low m/z end of spectra, where data point density is the highest but peak density low. We therefore developed a filter that offers lossless compression of FTICR mass spectra from singly charged metabolites. The filter relies on the high resolving power and mass measurement precision of FTICR and removes only those m/z channels that cannot contain signal from singly charged organic species. The resulting pseudospectra still contain the same signal as the original spectra but less uninformative background. The filter does not affect the outcome of standard downstream chemometric analysis methods, such as principal component analysis, but use of the filter significantly reduces memory requirements and CPU time for such analyses. We demonstrate the utility of the filter for urinary metabolite profiling using direct infusion electrospray ionization and a 15 tesla FTICR mass spectrometer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-010-0202-2) contains supplementary material, which is available to authorized users. Springer US 2010-03-07 2010 /pmc/articles/PMC2899016/ /pubmed/20676216 http://dx.doi.org/10.1007/s11306-010-0202-2 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Original Paper
Blanckenburg, Bo
van der Burgt, Yuri E. M.
Deelder, André M.
Palmblad, Magnus
“Lossless” compression of high resolution mass spectra of small molecules
title “Lossless” compression of high resolution mass spectra of small molecules
title_full “Lossless” compression of high resolution mass spectra of small molecules
title_fullStr “Lossless” compression of high resolution mass spectra of small molecules
title_full_unstemmed “Lossless” compression of high resolution mass spectra of small molecules
title_short “Lossless” compression of high resolution mass spectra of small molecules
title_sort “lossless” compression of high resolution mass spectra of small molecules
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2899016/
https://www.ncbi.nlm.nih.gov/pubmed/20676216
http://dx.doi.org/10.1007/s11306-010-0202-2
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