E A Slade1, R M S Thorn1, A M Lovering2, A Young3, D M Reynolds1. 1. Faculty of Health and Applied Sciences, University of the West of England Centre for Research in Biosciences, University of the West of England, Bristol, UK. 2. Antimicrobial Reference Laboratory Southmead Hospital, Westbury-on-Trym, Bristol, UK. 3. The Scar Free Foundation Centre for Children's Burns Research, Bristol Royal Hospital for Children, Bristol, UK.
Abstract
AIMS: To determine if bacterial species responsible for clinically relevant wound infection produce specific volatile profiles that would allow their speciation. METHODS AND RESULTS: Selected ion flow tube-mass spectrometry (SIFT-MS) in full mass scan mode was used to analyse headspace gases produced by wound-associated bacteria grown in vitro, so as to enable identification of bacterial volatile product ion profiles in the resulting mass spectra. Applying multivariate statistical analysis (hierarchical clustering and principal component analysis) to the resultant mass spectra enabled clear speciation. Moreover, bacterial volatile product ions could be detected from artificially contaminated wound dressing material, although the pattern of product ions detected was influenced by culture conditions. CONCLUSIONS: Using selected product ions from the SIFT-MS mass spectra it is possible to discriminate wound-associated bacterial species grown under specific in vitro culture conditions. SIGNIFICANCE AND IMPACT OF THE STUDY: The results of this study have shown that wound-associated bacteria can be discriminated using volatile analysis in vitro and that bacterial volatiles can be detected from wound dressing material. This indicates that volatile analysis of wounds or dressing material to identify infecting microbes has potential and warrants further study.
AIMS: To determine if bacterial species responsible for clinically relevant wound infection produce specific volatile profiles that would allow their speciation. METHODS AND RESULTS: Selected ion flow tube-mass spectrometry (SIFT-MS) in full mass scan mode was used to analyse headspace gases produced by wound-associated bacteria grown in vitro, so as to enable identification of bacterial volatile product ion profiles in the resulting mass spectra. Applying multivariate statistical analysis (hierarchical clustering and principal component analysis) to the resultant mass spectra enabled clear speciation. Moreover, bacterial volatile product ions could be detected from artificially contaminated wound dressing material, although the pattern of product ions detected was influenced by culture conditions. CONCLUSIONS: Using selected product ions from the SIFT-MS mass spectra it is possible to discriminate wound-associated bacterial species grown under specific in vitro culture conditions. SIGNIFICANCE AND IMPACT OF THE STUDY: The results of this study have shown that wound-associated bacteria can be discriminated using volatile analysis in vitro and that bacterial volatiles can be detected from wound dressing material. This indicates that volatile analysis of wounds or dressing material to identify infecting microbes has potential and warrants further study.
Authors: Alejandro Gómez-Mejia; Kim Arnold; Julian Bär; Kapil Dev Singh; Thomas C Scheier; Silvio D Brugger; Annelies S Zinkernagel; Pablo Sinues Journal: iScience Date: 2022-09-06