Detection and accurate identification of Mycobacterium species by flow injection tandem mass spectrometry (FIA-MS/MS) analysis of mycolic acids

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-16
DOI
https://doi.org/10.1038/s41598-025-96867-x
Citations
5
Primary Topic
Mycobacterium research and diagnosis
Type
article
Field-Weighted Citation Impact
6.77

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection and accurate identification of Mycobacterium species by flow injection tandem mass spectrometry (FIA-MS/MS) analysis of mycolic acids

Magdalena Druszczyńska, Rafał Szewczyk, M.J. Karol, Szulc Bartłomiej et al.
5 citations
Scientific Reports
Mycobacterium research and diagnosis
6.77
article

Detection and accurate identification of Mycobacterium species by flow injection tandem mass spectrometry (FIA-MS/MS) analysis of mycolic acids

Magdalena Druszczyńska, Rafał Szewczyk, M.J. Karol, Szulc Bartłomiej, Kowalski Konrad
article en
5 citations

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.

Scientific ReportsVol. 15(1)
University of Łódź (PL), Medical University of Lodz (PL)
European Regional Development Fund
Good health and well-being
Openalex Percentile: Top 3%
Mycobacterium research and diagnosis
6.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.