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Metabolite Profiling by Direct Analysis in Real-Time Mass Spectrometry

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Mass Spectrometry in Metabolomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1198))

Abstract

Untargeted metabolite profiling is a discovery tool for the identification of metabolites associated with the responses of perturbations to biological systems, such as a disease. Direct analysis in real-time mass spectrometry (DART MS) promises to be a powerful analytical technique for high-throughput metabolome analysis of human blood sera. Here, we describe the steps involved in untargeted blood sera metabolic profiling experiments using DART MS with two different sample introduction methods: probe-mode and transmission-mode geometries. Information regarding the optimization of different DART parameters that directly affect metabolite desorption and ionization, which thus influence sensitivity, is included.

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Acknowledgements

The authors acknowledge support from NSF grant CHE-0645094 and an OCRF Program Project Development grant. The authors also thank IonSense, Inc. for useful guidance on initial TM-DART experiments.

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Authors and Affiliations

  1. School of Chemistry and Biochemistry, Georgia Institute of Technology, 901 Atlantic Drive NW, Atlanta, GA, 30332, USA

    Christina M. Jones, María Eugenia Monge & Facundo M. Fernández

Authors
  1. Christina M. Jones
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  2. María Eugenia Monge
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  3. Facundo M. Fernández
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Corresponding author

Correspondence to Facundo M. Fernández .

Editor information

Editors and Affiliations

  1. University of Washington Fred Hutchinson Cancer Rsrch Ctr, Seattle, Washington, USA

    Daniel Raftery

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Jones, C.M., Monge, M.E., Fernández, F.M. (2014). Metabolite Profiling by Direct Analysis in Real-Time Mass Spectrometry. In: Raftery, D. (eds) Mass Spectrometry in Metabolomics. Methods in Molecular Biology, vol 1198. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1258-2_18

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  • DOI: https://doi.org/10.1007/978-1-4939-1258-2_18

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-1257-5

  • Online ISBN: 978-1-4939-1258-2

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