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Rapid in vitro differentiation of bacteria by ion mobility spectrometry
Rapid screening of infected people plays a crucial role in interrupting infection chains. However, the current methods for identification of bacteria are very tedious and labor intense. Fast on-site screening for pathogens based on volatile organic compounds (VOCs) by ion mobility spectrometry (IMS)...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140968/ https://www.ncbi.nlm.nih.gov/pubmed/33974116 http://dx.doi.org/10.1007/s00253-021-11315-w |
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author | Steppert, Isabel Schönfelder, Jessy Schultz, Carolyn Kuhlmeier, Dirk |
author_facet | Steppert, Isabel Schönfelder, Jessy Schultz, Carolyn Kuhlmeier, Dirk |
author_sort | Steppert, Isabel |
collection | PubMed |
description | Rapid screening of infected people plays a crucial role in interrupting infection chains. However, the current methods for identification of bacteria are very tedious and labor intense. Fast on-site screening for pathogens based on volatile organic compounds (VOCs) by ion mobility spectrometry (IMS) could help to differentiate between healthy and potentially infected subjects. As a first step towards this, the feasibility of differentiating between seven different bacteria including resistant strains was assessed using IMS coupled to multicapillary columns (MCC-IMS). The headspace above bacterial cultures was directly drawn and analyzed by MCC-IMS after 90 min of incubation. A cluster analysis software and statistical methods were applied to select discriminative VOC clusters. As a result, 63 VOC clusters were identified, enabling the differentiation between all investigated bacterial strains using canonical discriminant analysis. These 63 clusters were reduced to 7 discriminative VOC clusters by constructing a hierarchical classification tree. Using this tree, all bacteria including resistant strains could be classified with an AUC of 1.0 by receiver-operating characteristic analysis. In conclusion, MCC-IMS is able to differentiate the tested bacterial species, even the non-resistant and their corresponding resistant strains, based on VOC patterns after 90 min of cultivation. Although this result is very promising, in vivo studies need to be performed to investigate if this technology is able to also classify clinical samples. With a short analysis time of 5 min, MCC-IMS is quite attractive for a rapid screening for possible infections in various locations from hospitals to airports. Key Points • Differentiation of bacteria by MCC-IMS is shown after 90-min cultivation. • Non-resistant and resistant strains can be distinguished. • Classification of bacteria is possible based on metabolic features. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00253-021-11315-w. |
format | Online Article Text |
id | pubmed-8140968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-81409682021-06-03 Rapid in vitro differentiation of bacteria by ion mobility spectrometry Steppert, Isabel Schönfelder, Jessy Schultz, Carolyn Kuhlmeier, Dirk Appl Microbiol Biotechnol Methods and Protocols Rapid screening of infected people plays a crucial role in interrupting infection chains. However, the current methods for identification of bacteria are very tedious and labor intense. Fast on-site screening for pathogens based on volatile organic compounds (VOCs) by ion mobility spectrometry (IMS) could help to differentiate between healthy and potentially infected subjects. As a first step towards this, the feasibility of differentiating between seven different bacteria including resistant strains was assessed using IMS coupled to multicapillary columns (MCC-IMS). The headspace above bacterial cultures was directly drawn and analyzed by MCC-IMS after 90 min of incubation. A cluster analysis software and statistical methods were applied to select discriminative VOC clusters. As a result, 63 VOC clusters were identified, enabling the differentiation between all investigated bacterial strains using canonical discriminant analysis. These 63 clusters were reduced to 7 discriminative VOC clusters by constructing a hierarchical classification tree. Using this tree, all bacteria including resistant strains could be classified with an AUC of 1.0 by receiver-operating characteristic analysis. In conclusion, MCC-IMS is able to differentiate the tested bacterial species, even the non-resistant and their corresponding resistant strains, based on VOC patterns after 90 min of cultivation. Although this result is very promising, in vivo studies need to be performed to investigate if this technology is able to also classify clinical samples. With a short analysis time of 5 min, MCC-IMS is quite attractive for a rapid screening for possible infections in various locations from hospitals to airports. Key Points • Differentiation of bacteria by MCC-IMS is shown after 90-min cultivation. • Non-resistant and resistant strains can be distinguished. • Classification of bacteria is possible based on metabolic features. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00253-021-11315-w. Springer Berlin Heidelberg 2021-05-11 2021 /pmc/articles/PMC8140968/ /pubmed/33974116 http://dx.doi.org/10.1007/s00253-021-11315-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Methods and Protocols Steppert, Isabel Schönfelder, Jessy Schultz, Carolyn Kuhlmeier, Dirk Rapid in vitro differentiation of bacteria by ion mobility spectrometry |
title | Rapid in vitro differentiation of bacteria by ion mobility spectrometry |
title_full | Rapid in vitro differentiation of bacteria by ion mobility spectrometry |
title_fullStr | Rapid in vitro differentiation of bacteria by ion mobility spectrometry |
title_full_unstemmed | Rapid in vitro differentiation of bacteria by ion mobility spectrometry |
title_short | Rapid in vitro differentiation of bacteria by ion mobility spectrometry |
title_sort | rapid in vitro differentiation of bacteria by ion mobility spectrometry |
topic | Methods and Protocols |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140968/ https://www.ncbi.nlm.nih.gov/pubmed/33974116 http://dx.doi.org/10.1007/s00253-021-11315-w |
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