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A tandem liquid chromatography–mass spectrometry (LC–MS) method for profiling small molecules in complex samples
journal contribution
posted on 2015-12-01, 00:00 authored by J S Pyke, Damien CallahanDamien Callahan, K Kanojia, J Bowne, S Sahani, D Tull, A Bacic, M J McConville, U RoessnerLiquid chromatography–mass spectrometry (LC–MS) methods using either aqueous normal phase (ANP) or reversed phase (RP) columns are routinely used in small molecule or metabolomic analyses. These stationary phases enable chromatographic fractionation of polar and non-polar compounds, respectively. The application of a single chromatographic stationary phase to a complex biological extract results in a significant proportion of compounds which elute in the non-retained fraction, where they are poorly detected because of a combination of ion suppression and the co-elution of isomeric compounds. Thus coverage of both polar and non-polar components of the metabolome generally involves multiple analyses of the same sample, increasing the analysis time and complexity. In this study we describe a novel tandem in-line LC–MS method, in which compounds from one injection are sequentially separated in a single run on both ANP and RP LC-columns. This method is simple, robust, and enables the use of independent gradients customized for both RP and ANP columns. The MS signal is acquired in a single chromatogram which reduces instrument time and operator and data analysis errors. This method has been used to analyze a range of biological extracts, from plant and animal tissues, human serum and urine, microbial cell and culture supernatants. Optimized sample preparation protocols are described for this method as well as a library containing the retention times and accurate masses of 127 compounds.
History
Journal
MetabolomicsVolume
11Issue
6Pagination
1552 - 1562Publisher
SpringerLocation
Berlin, GermanyPublisher DOI
ISSN
1573-3882eISSN
1573-3890Language
engPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2015, WileyUsage metrics
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