Literature DB >> 15170749

Simultaneous quantitative analysis of isobars by tandem mass spectrometry from unresolved chromatographic peaks.

Mark M Kushnir1, Alan L Rockwood, Gordon J Nelson.   

Abstract

A method was developed for the simultaneous quantitation of isobars from unresolved chromatographic peaks. The method is based on differences in branching ratios of ion abundances in their tandem mass spectra and an assumption that the product ion mass spectra of a mixture can be considered as a linear combination of the spectra of individual constituents. We present analytical equations and a matrix-based approach for deconvoluting the concentration of individual components from the total peak intensity for two and three isobars and also a matrix-based generalization to any number of compounds. The feasibility of the simultaneous analysis of mixtures containing two compounds was assessed. The approach was evaluated for the analysis of structural isomers of methylmalonic and succinic acids in human plasma and urine samples for a group of 270 samples. The linear regression equation, standard error and correlation coefficient for the agreement with a traditional method utilizing chromatographic separation of the isomers were y = 0.999x - 0.005, 0.024 micro mol l(-1), and 0.985, respectively. The utility of a spectral contrast angle as a predictor of analysis feasibility was evaluated. Copyright 2004 John Wiley & Sons, Ltd.

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Year:  2004        PMID: 15170749     DOI: 10.1002/jms.619

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  4 in total

1.  Tandem mass spectrometric analysis of a mixture of isobars using the survival yield technique.

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Authors:  Marta Menicatti; Marco Pallecchi; Silvia Bua; Daniela Vullo; Lorenzo Di Cesare Mannelli; Carla Ghelardini; Fabrizio Carta; Claudiu T Supuran; Gianluca Bartolucci
Journal:  J Enzyme Inhib Med Chem       Date:  2018-12       Impact factor: 5.051

4.  Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna.

Authors:  Ines Dumke; Autun Purser; Yann Marcon; Stein M Nornes; Geir Johnsen; Martin Ludvigsen; Fredrik Søreide
Journal:  Sci Rep       Date:  2018-08-27       Impact factor: 4.379

  4 in total

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