| Title: | Multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria |
| Author(s): | Fitzgerald S; Duffy E; Holland L; Morrin A; |
| Address: | "School of Chemical Sciences, National Centre for Sensor Research, Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland. School of Biotechnology, Dublin City University, Dublin, Ireland. School of Chemical Sciences, National Centre for Sensor Research, Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland. aoife.morrin@dcu.ie" |
| DOI: | 10.1038/s41598-020-74909-w |
| ISSN/ISBN: | 2045-2322 (Electronic) 2045-2322 (Linking) |
| Abstract: | "The detection of volatile organic compounds (VOC) emitted by pathogenic bacteria has been proposed as a potential non-invasive approach for characterising various infectious diseases as well as wound infections. Studying microbial VOC profiles in vitro allows the mechanisms governing VOC production and the cellular origin of VOCs to be deduced. However, inter-study comparisons of microbial VOC data remains a challenge due to the variation in instrumental and growth parameters across studies. In this work, multiple strains of pathogenic and commensal cutaneous bacteria were analysed using headspace solid phase micro-extraction coupled with gas chromatography-mass spectrometry. A kinetic study was also carried out to assess the relationship between bacterial VOC profiles and the growth phase of cells. Comprehensive bacterial VOC profiles were successfully discriminated at the species-level, while strain-level variation was only observed in specific species and to a small degree. Temporal emission kinetics showed that the emission of particular compound groups were proportional to the respective growth phase for individual S. aureus and P. aeruginosa samples. Standardised experimental workflows are needed to improve comparability across studies and ultimately elevate the field of microbial VOC profiling. Our results build on and support previous literature and demonstrate that comprehensive discriminative results can be achieved using simple experimental and data analysis workflows" |
| Keywords: | Bacteria/isolation & purification/*metabolism/*pathogenicity Gas Chromatography-Mass Spectrometry Humans Skin/*microbiology Solid Phase Extraction/methods Volatile Organic Compounds/*metabolism Wound Infection/*microbiology; |
| Notes: | "MedlineFitzgerald, Shane Duffy, Emer Holland, Linda Morrin, Aoife eng 796289/MCCC_/Marie Curie/United Kingdom Research Support, Non-U.S. Gov't England 2020/10/23 Sci Rep. 2020 Oct 21; 10(1):17971. doi: 10.1038/s41598-020-74909-w" |
