ArticleNature communications2020
Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample-specific ion distributions.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Single-Injection Multi-Omics Analysis by Direct Infusion Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2026Article
- Exometabolome variation in the fungal pathogen of humansApplied and environmental microbiology · 2026Article
- NMR Based Real-Time Analysis of Exometabolites Decodes the Mechanism of Action of Antibacterial Molecules, Nanoparticles, and Materials.Analytical chemistry · 2026Article
- Rapid analysis of terpenes produced by fermentation using flow injection analysis coupled to APCI MS.Analytical methods : advancing methods and applications · 2026Article
- Sea dragon metabolome and lipidome unveil bioactive functional food candidates with sepsis therapeutic activities.NPJ science of food · 2025Article
- How specific ion effects influence the mechanical behaviors of amide macromolecules? A cross-scale study.RSC advances · 2024Article
- Multi-omic analysis tools for microbial metabolites prediction.Briefings in bioinformatics · 2024Review
- Article
- Non-invasive monitoring of microbiota and host metabolism using secondary electrospray ionization-mass spectrometry.Cell reports methods · 2023Article
- A Strategy for Uncovering the Serum Metabolome by Direct-Infusion High-Resolution Mass Spectrometry.Metabolites · 2023Article
- Small molecule metabolites: discovery of biomarkers and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Systematic analysis of in-source modifications of primary metabolites during flow-injection time-of-flight mass spectrometry.Analytical biochemistry · 2023Article
- Four-dimensional trapped ion mobility spectrometry lipidomics for high throughput clinical profiling of human blood samples.Nature communications · 2023Article
- Current State and Future Perspectives on Personalized Metabolomics.Metabolites · 2023Review
- Drug Metabolism: A Half-Century Plus of Progress, Continued Needs, and New Opportunities.Drug metabolism and disposition: the biological fate of chemicals · 2023Article
- Enhancing clinical potential of liquid biopsy through a multi-omic approach: A systematic review.Frontiers in genetics · 2023Review
- Article
- Potential Plasma Metabolite Biomarkers of Diabetic Nephropathy: Untargeted Metabolomics Study.Journal of personalized medicine · 2022Article
- A narrative review of metabolomics in the era of "-omics": integration into clinical practice for inborn errors of metabolism.Translational pediatrics · 2022Review
- A Direct Infusion Probe for Rapid Metabolomics of Low-Volume Samples.Analytical chemistry · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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