Back to Search
Start Over
Investigating Bacterial Volatilome for the Classification and Identification of Mycobacterial Species by HS-SPME-GC-MS and Machine Learning.
- Source :
-
Molecules (Basel, Switzerland) [Molecules] 2021 Jul 29; Vol. 26 (15). Date of Electronic Publication: 2021 Jul 29. - Publication Year :
- 2021
-
Abstract
- Species of Mycobacteriaceae cause disease in animals and humans, including tuberculosis and leprosy. Individuals infected with organisms in the Mycobacterium tuberculosis complex (MTBC) or non-tuberculous mycobacteria (NTM) may present identical symptoms, however the treatment for each can be different. Although the NTM infection is considered less vital due to the chronicity of the disease and the infrequency of occurrence in healthy populations, diagnosis and differentiation among Mycobacterium species currently require culture isolation, which can take several weeks. The use of volatile organic compounds (VOCs) is a promising approach for species identification and in recent years has shown promise for use in the rapid analysis of both in vitro cultures as well as ex vivo diagnosis using breath or sputum. The aim of this contribution is to analyze VOCs in the culture headspace of seven different species of mycobacteria and to define the volatilome profiles that are discriminant for each species. For the pre-concentration of VOCs, solid-phase micro-extraction (SPME) was employed and samples were subsequently analyzed using gas chromatography-quadrupole mass spectrometry (GC-qMS). A machine learning approach was applied for the selection of the 13 discriminatory features, which might represent clinically translatable bacterial biomarkers.
- Subjects :
- Biomarkers analysis
Gas Chromatography-Mass Spectrometry methods
Machine Learning statistics & numerical data
Mycobacterium metabolism
Mycobacterium abscessus metabolism
Mycobacterium avium metabolism
Mycobacterium avium Complex metabolism
Mycobacterium bovis metabolism
Principal Component Analysis
Solid Phase Microextraction
Volatile Organic Compounds classification
Volatile Organic Compounds metabolism
Metabolome
Mycobacterium chemistry
Mycobacterium abscessus chemistry
Mycobacterium avium chemistry
Mycobacterium avium Complex chemistry
Mycobacterium bovis chemistry
Volatile Organic Compounds isolation & purification
Subjects
Details
- Language :
- English
- ISSN :
- 1420-3049
- Volume :
- 26
- Issue :
- 15
- Database :
- MEDLINE
- Journal :
- Molecules (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 34361751
- Full Text :
- https://doi.org/10.3390/molecules26154600