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Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample-specific ion distributions

Author

Listed:
  • Boris Sarvin

    (Technion—Israel Institute of Technology)

  • Shoval Lagziel

    (Technion—Israel Institute of Technology)

  • Nikita Sarvin

    (Technion—Israel Institute of Technology)

  • Dzmitry Mukha

    (Technion—Israel Institute of Technology)

  • Praveen Kumar

    (Technion—Israel Institute of Technology)

  • Elina Aizenshtein

    (Technion—Israel Institute of Technology)

  • Tomer Shlomi

    (Technion—Israel Institute of Technology
    Technion—Israel Institute of Technology
    Technion—Israel Institute of Technology)

Abstract

Mass spectrometry based metabolomics is a widely used approach in biomedical research. However, current methods coupling mass spectrometry with chromatography are time-consuming and not suitable for high-throughput analysis of thousands of samples. An alternative approach is flow-injection mass spectrometry (FI-MS) in which samples are directly injected to the ionization source. Here, we show that the sensitivity of Orbitrap FI-MS metabolomics methods is limited by ion competition effect. We describe an approach for overcoming this effect by analyzing the distribution of ion m/z values and computationally determining a series of optimal scan ranges. This enables reproducible detection of ~9,000 and ~10,000 m/z features in metabolomics and lipidomics analysis of serum samples, respectively, with a sample scan time of ~15 s and duty time of ~30 s; a ~50% increase versus current spectral-stitching FI-MS. This approach facilitates high-throughput metabolomics for a variety of applications, including biomarker discovery and functional genomics screens.

Suggested Citation

  • Boris Sarvin & Shoval Lagziel & Nikita Sarvin & Dzmitry Mukha & Praveen Kumar & Elina Aizenshtein & Tomer Shlomi, 2020. "Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample-specific ion distributions," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-17026-6
    DOI: 10.1038/s41467-020-17026-6
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