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

Boris Sarvin, Shoval Lagziel, Nikita Sarvin, Dzmitry Mukha, Praveen Kumar, Elina Aizenshtein and Tomer Shlomi ()
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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

Nature Communications, 2020, vol. 11, issue 1, 1-11

Abstract: 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.

Date: 2020
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DOI: 10.1038/s41467-020-17026-6

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