Literature DB >> 24234499

Spectral deconvolution for overlapping GC/MS components.

B N Colby1.   

Abstract

The use of mass chromatogram peak centroids has been investigated as a means of deconvoluting the spectra of overlapping gas chromatography/mass spectrometry components. The peak centroids have been calculated with a precision of 0.04 scans (sd). This proved sufficient to allow deconvolution of the mass spectra belonging to two chemical components which were eluted 0.48 scans apart. For a more complex chromatography peak, it was possible to deconvolute the spectra of six components which were eluted within a 9 scan window. All the spectra produced by using this deconvolution mechanism agreed well with National Institute of Standards and Technology database spectra.

Year:  1992        PMID: 24234499     DOI: 10.1016/1044-0305(92)85033-G

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  14 in total

1.  PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools.

Authors:  Sean O'Callaghan; David P De Souza; Andrew Isaac; Qiao Wang; Luke Hodkinson; Moshe Olshansky; Tim Erwin; Bill Appelbe; Dedreia L Tull; Ute Roessner; Antony Bacic; Malcolm J McConville; Vladimir A Likić
Journal:  BMC Bioinformatics       Date:  2012-05-30       Impact factor: 3.169

Review 2.  Microbial metabolomics: replacing trial-and-error by the unbiased selection and ranking of targets.

Authors:  Mariët J van der Werf; Renger H Jellema; Thomas Hankemeier
Journal:  J Ind Microbiol Biotechnol       Date:  2005-05-14       Impact factor: 3.346

3.  Software-based mass spectral enhancement to remove interferences from spectra of unknowns.

Authors:  N R Herron; J R Donnelly; G W Sovocool
Journal:  J Am Soc Mass Spectrom       Date:  1996-06       Impact factor: 3.109

4.  Determination of ion mobility collision cross sections for unresolved isomeric mixtures using tandem mass spectrometry and chemometric deconvolution.

Authors:  Brett Harper; Elizabeth K Neumann; Sarah M Stow; Jody C May; John A McLean; Touradj Solouki
Journal:  Anal Chim Acta       Date:  2016-07-28       Impact factor: 6.558

Review 5.  Review of recent developments in GC-MS approaches to metabolomics-based research.

Authors:  David J Beale; Farhana R Pinu; Konstantinos A Kouremenos; Mahesha M Poojary; Vinod K Narayana; Berin A Boughton; Komal Kanojia; Saravanan Dayalan; Oliver A H Jones; Daniel A Dias
Journal:  Metabolomics       Date:  2018-11-17       Impact factor: 4.290

6.  An untargeted metabolomic workflow to improve structural characterization of metabolites.

Authors:  Igor Nikolskiy; Nathaniel G Mahieu; Ying-Jr Chen; Ralf Tautenhahn; Gary J Patti
Journal:  Anal Chem       Date:  2013-08-02       Impact factor: 6.986

7.  Fast and automated biomarker detection in breath samples with machine learning.

Authors:  Angelika Skarysz; Dahlia Salman; Michael Eddleston; Martin Sykora; Eugénie Hunsicker; William H Nailon; Kareen Darnley; Duncan B McLaren; C L Paul Thomas; Andrea Soltoggio
Journal:  PLoS One       Date:  2022-04-12       Impact factor: 3.240

8.  OpenChrom: a cross-platform open source software for the mass spectrometric analysis of chromatographic data.

Authors:  Philip Wenig; Juergen Odermatt
Journal:  BMC Bioinformatics       Date:  2010-07-30       Impact factor: 3.169

Review 9.  Spectral deconvolution for gas chromatography mass spectrometry-based metabolomics: current status and future perspectives.

Authors:  Xiuxia Du; Steven H Zeisel
Journal:  Comput Struct Biotechnol J       Date:  2013-06-28       Impact factor: 7.271

10.  Extraction of pure components from overlapped signals in gas chromatography-mass spectrometry (GC-MS).

Authors:  Vladimir A Likić
Journal:  BioData Min       Date:  2009-10-12       Impact factor: 2.522

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