Sitnikov, Dmitri G., Monnin, Cian S. and Vuckovic, Dajana (2016) Systematic Assessment of Seven Solvent and Solid-Phase Extraction Methods for Metabolomics Analysis of Human Plasma by LC-MS. Scientific Reports, 6 (1). p. 38885. ISSN 2045-2322
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Official URL: http://dx.doi.org/10.1038/srep38885
Abstract
The comparison of extraction methods for global metabolomics is usually executed in biofluids only and focuses on metabolite coverage and method repeatability. This limits our detailed understanding of extraction parameters such as recovery and matrix effects and prevents side-by-side comparison of different sample preparation strategies. To address this gap in knowledge, seven solvent-based and solid-phase extraction methods were systematically evaluated using standard analytes spiked into both buffer and human plasma. We compared recovery, coverage, repeatability, matrix effects, selectivity and orthogonality of all methods tested for non-lipid metabolome in combination with reversed-phased and mixed-mode liquid chromatography mass spectrometry analysis (LC-MS). Our results confirmed wide selectivity and excellent precision of solvent precipitations, but revealed their high susceptibility to matrix effects. The use of all seven methods showed high overlap and redundancy which resulted in metabolite coverage increases of 34–80% depending on LC-MS method employed as compared to the best single extraction protocol (methanol/ethanol precipitation) despite 7x increase in MS analysis time and sample consumption. The most orthogonal methods to methanol-based precipitation were ion-exchange solid-phase extraction and liquid-liquid extraction using methyl-tertbutyl ether. Our results help facilitate rational design and selection of sample preparation methods and internal standards for global metabolomics.
Divisions: | Concordia University > Faculty of Arts and Science > Chemistry and Biochemistry |
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Item Type: | Article |
Refereed: | Yes |
Authors: | Sitnikov, Dmitri G. and Monnin, Cian S. and Vuckovic, Dajana |
Journal or Publication: | Scientific Reports |
Date: | 2016 |
Funders: |
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Digital Object Identifier (DOI): | 10.1038/srep38885 |
Keywords: | Bioanalytical chemistry, Mass spectrometry, Metabolomics |
ID Code: | 982274 |
Deposited By: | Danielle Dennie |
Deposited On: | 21 Mar 2017 18:48 |
Last Modified: | 18 Jan 2018 17:54 |
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