ArticleScientific reports2025
Detection and accurate identification of Mycobacterium species by flow injection tandem mass spectrometry (FIA-MS/MS) analysis of mycolic acids.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- An FTA card-based CRISPR/Cas12a platform with isothermal amplification for portable tuberculosis diagnosis.Frontiers in microbiology · 2026Article
- Untargeted and Targeted Liquid Chromatography-Mass Spectrometry-Based Lipidomic Profiling Revealed a Potential Biomarker Panel to Distinguish Clinical Isolates of M. tuberculosis From Nontuberculous M. kansasii.Pulmonary medicine · 2026Article
- Comprehensive Approaches to Protein Detection and Analysis in Mycobacterium tuberculosis.Advances in experimental medicine and biology · 2026Review
- Rapid clinical detection of mycobacterial infections using M-Typer and flow-injection tandem mass spectrometry.IJTLD open · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
Mycolic acids, long-chain α-alkyl, β-hydroxy fatty acids, are characteristic for the genus Mycobacterium and play a critical role in the structural integrity and pathogenicity of mycobacterial cell walls. The unique structural diversity of mycolic acids among various Mycobacterium species offers a reliable biomarker for taxonomic differentiation. In this study, we applied flow injection analysis coupled with tandem mass spectrometry (FIA-MS/MS) for a comprehensive profiling of mycolic acids. Our findings demonstrate that the structural diversity of mycolic acids can be effectively utilized to enhance the accuracy, sensitivity, and scalability of mycobacterial identification methods. This technique has a broad applications for the rapid identification of mycobacterial pathogens and determination of drug resistance. Particularly in clinical diagnostics it may lead to improvement of patient management and treatment outcomes. Additionally, the method holds promise for epidemiological surveillance, enabling the tracking of mycobacterial outbreaks, as well as applications in environmental microbiology for the detection and monitoring of mycobacteria in diverse ecosystems.
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