ReviewApplied microbiology and biotechnology2021
Identification of volatile compounds from bacteria by spectrometric methods in medicine diagnostic and other areas: current state and perspectives.
Review in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- Evolving Approaches to Bacterial Identification: A Review of Classical and Modern Techniques.International journal of molecular sciences · 2026Review
- Untargeted GC-IMS Metabolomics of Wound Headspace for Bacterial Infection Biomarker Discovery.Metabolites · 2026Article
- Urine volatile organic compounds profiling via GC-IMS combined with machine learning: a powerful diagnostic and pathogen differentiation tool for urinary tract infections.Frontiers in cellular and infection microbiology · 2026Article
- Volatile organic compounds (VOCs) detection for the identification of bacterial infections in clinical wound samples.Talanta · 2025Review
- Early detection of bacterial pneumonia by characteristic induced odor signatures.BMC infectious diseases · 2024Article
- Nanotechnology improves the detection of bacteria: Recent advances and future perspectives.Heliyon · 2024Review
- 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
- Tuning phosphorene and MoSRSC advances · 2024Article
- Feasibility of using volatile urine fingerprints for the differentiation of sexually transmitted infections.Applied microbiology and biotechnology · 2023Article
- Identification of volatile biomarkers of Trichomonas vaginalis infection in vaginal discharge and urine.Applied microbiology and biotechnology · 2023Article
- Blood Culture Headspace Gas Analysis Enables Early Detection ofAntibiotics (Basel, Switzerland) · 2022Article
- Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS.Metabolites · 2022Article
- Rapid Fluorescence Sensor Guided Detection of Urinary Tract Bacterial Infections.International journal of nanomedicine · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diagnosis of bacterial infections until today mostly relies on conventional microbiological methods. The resulting long turnaround times can lead to delayed initiation of adequate antibiotic therapy and prolonged periods of empiric antibiotic therapy (e.g., in intensive care medicine). Therewith, they contribute to the mortality of bacterial infections and the induction of multidrug resistances. The detection of species specific volatile organic compounds (VOCs) emitted by bacteria has been proposed as a possible diagnostic approach with the potential to serve as an innovative point-of-care diagnostic tool with very short turnaround times. A range of spectrometric methods are available which allow the detection and quantification of bacterial VOCs down to a range of part per trillion. This narrative review introduces the application of spectrometric analytical methods for the purpose of detecting VOCs of bacterial origin and their clinical use for diagnosing different infectious conditions over the last decade. KEY POINTS: • Detection of VOCs enables bacterial differentiation in various medical conditions. • Spectrometric methods may function as point-of-care diagnostics in near future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.