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Quantitative detection of metabolites using matrix‐assisted laser desorption/ionization mass spectrometry with 9‐aminoacridine as the matrix
Author(s) -
Vaidyanathan Seetharaman,
Goodacre Royston
Publication year - 2007
Publication title -
rapid communications in mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 136
eISSN - 1097-0231
pISSN - 0951-4198
DOI - 10.1002/rcm.3063
Subject(s) - chemistry , metabolite , analyte , metabolome , metabolomics , mass spectrometry , chromatography , matrix (chemical analysis) , quantitative analysis (chemistry) , chemical ionization , ionization , biochemistry , ion , organic chemistry
Abstract Quantitative detection of metabolites is a highly desirable feature in metabolome analyses. Recently, the successful detection of multiple metabolites using matrix‐assisted laser desorption/ionization mass spectrometry (MALDI‐MS) in the negative ion mode employing 9‐aminoacridine as the organic matrix was reported (Edwards JL, Kennedy RT. Anal. Chem . 2005; 77: 2201–2209). However, there is little information available on quantitative detection of multiple metabolites using MALDI‐MS and in particular the influence changes in metabolite levels have on such detections. We investigated this aspect by spiking a synthetic metabolite cocktail (consisting of 39 metabolites including amino acids, organic acids and phospho‐metabolites) with five representative metabolites at increasing concentrations, one metabolite at a time, and assessed the signals from replicate determinations. It was possible to detect quantitative changes in the spiked metabolites. Although analyte suppression was observed, it was possible to observe scenarios where the spiked metabolite had little or no influence on the quantitative detection of some metabolites. It appears that the mass spectral response of the metabolite is suppressed only when the spiked chemical species are relatively similar in chemical terms. This suggests that quantitation is possible in scenarios where changes in a specific metabolite or a class of metabolites are monitored following appropriate analyte separation strategies, and that careful interpretations must be made when using the technique for quantitative analysis in unbiased metabolomic approaches. Copyright © 2007 John Wiley & Sons, Ltd.