ArticleApplied microbiology and biotechnology2013
Detection and validation of volatile metabolic patterns over different strains of two human pathogenic bacteria during their growth in a complex medium using multi-capillary column-ion mobility spectrometry (MCC-IMS).
Article in Applied microbiology and biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 63 citations in OpenAlex.
- Bacterial species differentiation via real-time detection of microbial volatile organic compounds using a wavelength multiplexed photoionization detector and AI image-based analysis.Scientific reports · 2026Article
- Volatile organic compounds (VOCs) detection for the identification of bacterial infections in clinical wound samples.Talanta · 2025Review
- Profiling of Volatile Metabolites ofInternational journal of molecular sciences · 2025Article
- The Potential of Fecal Volatile Organic Compound Analysis for the Early Diagnosis of Late-Onset Sepsis in Preterm Infants: A Narrative Review.Sensors (Basel, Switzerland) · 2024Review
- GC-IMS facilitates identification of carbapenem-resistant Klebsiella pneumoniae in simulated blood cultures.AMB Express · 2024Article
- Volatilomes of human infection.Analytical and bioanalytical chemistry · 2024Review
- Use of GC-IMS for detection of volatile organic compounds to identify mixed bacterial culture medium.AMB Express · 2022Article
- Volatolomics in healthcare and its advanced detection technology.Nano research · 2022Review
- Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteria.BMC microbiology · 2021Article
- Analysis of volatile metabolites from in vitro biofilms of Pseudomonas aeruginosa with thin-film microextraction by thermal desorption gas chromatography-mass spectrometry.Analytical and bioanalytical chemistry · 2020Article
- Bedside Measurement of Volatile Organic Compounds in the Atmosphere of Neonatal Incubators Using Ion Mobility Spectrometry.Frontiers in pediatrics · 2019Article
- Biological and chemical strategies for exploring inter- and intra-kingdom communication mediated via bacterial volatile signals.Nature protocols · 2017Article
- Analysis of Listeria using exogenous volatile organic compound metabolites and their detection by static headspace-multi-capillary column-gas chromatography-ion mobility spectrometry (SHS-MCC-GC-IMS).Analytical and bioanalytical chemistry · 2017Article
- Point-of-care multiplex PCR promises short turnaround times for microbial testing in hospital-acquired pneumonia--an observational pilot study in critical ill patients.Annals of clinical microbiology and antimicrobials · 2015Observational
- Chemical diversity of microbial volatiles and their potential for plant growth and productivity.Frontiers in plant science · 2015Review
- Multi-capillary column-ion mobility spectrometry (MCC-IMS) as a new method for the quantification of occupational exposure to sevoflurane in anaesthesia workplaces: an observational feasibility study.Journal of occupational medicine and toxicology (London, England) · 2015Article
- Multi-capillary column-ion mobility spectrometry of volatile metabolites emitted by Saccharomyces cerevisiae.Metabolites · 2014Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Headspace analyses over microbial cultures using multi-capillary column-ion mobility spectrometry (MCC-IMS) could lead to a faster, safe and cost-effective method for the identification of pathogens. Recent studies have shown that MCC-IMS allows identification of bacteria and fungi, but no information is available from when on during their growth a differentiation between bacteria is possible. Therefore, we analysed the headspace over human pathogenic reference strains of Escherichia coli and Pseudomonas aeruginosa at four time points during their growth in a complex fluid medium. In order to validate our findings and to answer the question if the results of one bacterial strain can be transferred to other strains of the same species, we also analysed the headspace over cultures from isolates of random clinical origin. We detected 19 different volatile organic compounds (VOCs) that appeared or changed their signal intensity during bacterial growth. These included six VOCs exclusively changing over E. coli cultures and seven exclusively changing over P. aeruginosa cultures. Most changes occurred in the late logarithmic or static growth phases. We did not find differences in timing or trends in signal intensity between VOC patterns of different strains of one species. Our results show that differentiation of human pathogenic bacteria by headspace analyses using MCC-IMS technology is best possible during the late phases of bacterial growth. Our findings also show that VOC patterns of a bacterial strain can be transferred to other strains of the same species.
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Registered trials
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