ArticleJournal of applied microbiology2022
Metabolic phenotyping of acquired ampicillin resistance using microbial volatiles from Escherichia coli cultures.
Article in Journal of applied microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Microbial volatile organic compounds and olfactory receptors in wound malodor.Frontiers in cellular and infection microbiology · 2026Pooled it
- Design of solid phase microextraction patches for the detection of volatile metabolites associated with Burkholderia cepacia.Applied microbiology and biotechnology · 2026Article
- Leucine degradation metabolite ratio as a measure of meropenem susceptibility in carbapenem-resistantMicrobiology spectrum · 2026Article
- MXene-coated paper microextraction patch for in vitro metabolic profiling to identify Klebsiella pneumoniae.Mikrochimica acta · 2026Article
- An engineered culture vessel and flow system to improve the in vitro analysis of volatile organic compounds.Communications engineering · 2025Article
- Rapid Identification of Carbapenem-ResistantInfection and drug resistance · 2025Article
- Next-generation rapid phenotypic antimicrobial susceptibility testing.Nature communications · 2024Review
- Metabolic phenotyping of acquired ampicillin resistance using microbial volatiles from Escherichia coli cultures.Journal of applied microbiology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
aimsThis study sought to assess the volatile organic compound (VOC) profiles of ampicillin-resistant and -susceptible Escherichia coli to evaluate whether VOC analysis may be utilized to identify resistant phenotypes. METHODS AND
resultsAn E. coli BL21 (DE3) strain and its pET16b plasmid transformed ampicillin-resistant counterpart were cultured for 6 h in drug-free, low- and high-concentrations of ampicillin. Headspace analysis was undertaken using thermal desorption-gas chromatography-mass spectrometry. Results revealed distinct VOC profiles with ampicillin-resistant bacteria distinguishable from their susceptible counterparts using as few as six compounds. A minimum of 30 compounds (fold change >2, p ≤ 0.05) were differentially expressed between the strains across all set-ups. Furthermore, three compounds (indole, acetoin and 3-methyl-1-butanol) were observed to be significantly more abundant (fold change >2, p ≤ 0.05) in the resistant strain compared to the susceptible strain both in the presence and in the absence of drug stress.
conclusionsResults indicate that E. coli with acquired ampicillin resistance exhibit an altered VOC profile compared to their susceptible counterpart both in the presence and in the absence of antibiotic stress. This suggests that there are fundamental differences between the metabolisms of ampicillin-resistant and -susceptible E. coli which may be detected by means of VOC analysis. SIGNIFICANCE AND IMPACT OF THE STUDY: Our findings suggest that VOC profiles may be utilized to differentiate between resistant and susceptible bacteria using just six compounds. Consequently, the development of machine-learning models using VOC signatures shows considerable diagnostic applicability for the rapid and accurate detection of antimicrobial resistance.
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