ArticleAnalytical and bioanalytical chemistry2016
Classification of Bacillus and Brevibacillus species using rapid analysis of lipids by mass spectrometry.
Article in Analytical and bioanalytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 17 citations in OpenAlex.
- Strain-Level Discrimination of Bacteria by Liquid Chromatography and Paper Spray Ion Mobility Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2023Article
- A new approach to identifying pathogens, with particular regard to viruses, based on capillary electrophoresis and other analytical techniques.Trends in analytical chemistry : TRAC · 2021Review
- The Study on Molecular Profile Changes of Pathogens via Zinc Nanocomposites Immobilization Approach.International journal of molecular sciences · 2021Article
- The Influence of Different Forms of Silver on Selected Pathogenic Bacteria.Materials (Basel, Switzerland) · 2020Article
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
Bacillus are aerobic spore-forming bacteria that are known to lead to specific diseases, such as anthrax and food poisoning. This study focuses on the characterization of these bacteria by the detection of lipids extracted from 33 well-characterized strains from the Bacillus and Brevibacillus genera, with the aim to discriminate between the different species. For the purpose of analysing the lipids extracted from these bacterial samples, two rapid physicochemical techniques were used: matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF-MS) and liquid chromatography in conjunction with mass spectrometry (LC-MS). The findings of this investigation confirmed that MALDI-TOF-MS could be used to identify different bacterial lipids and, in combination with appropriate chemometrics, allowed for the discrimination between these different bacterial species, which was supported by LC-MS. The average correct classification rates for the seven species of bacteria were 62.23 and 77.03 % based on MALDI-TOF-MS and LC-MS data, respectively. The Procrustes distance for the two datasets was 0.0699, indicating that the results from the two techniques were very similar. In addition, we also compared these bacterial lipid MALDI-TOF-MS profiles to protein profiles also collected by MALDI-TOF-MS on the same bacteria (Procrustes distance, 0.1006). The level of discrimination between lipids and proteins was equivalent, and this further indicated the potential of MALDI-TOF-MS analysis as a rapid, robust and reliable method for the classification of bacteria based on different bacterial chemical components. Graphical abstract MALDI-MS has been successfully developed for the characterization of bacteria at the subspecies level using lipids and benchmarked against HPLC.
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