Evidence map›Paper›PMID 39707942›Full record

ArticleAnalytical chemistry2025

Measurement of Bacterial Headspaces by FT-IR Spectroscopy Reveals Distinct Volatile Organic Compound Signatures.

Christian Zenner, Lindsay J Hall, Susmita Roy, Jürgen Hauer, Ronald Sroka, Kiran Sankar Maiti

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Christian ZennerTechnical University of Munich, School of Life Sciences, Intestinal Microbiome, Weihenstephaner Berg 3, 85354 Freising, Germany.
Lindsay J HallTechnical University of Munich, School of Life Sciences, Intestinal Microbiome, Weihenstephaner Berg 3, 85354 Freising, Germany.
Susmita RoyDepartment of Clinical Medicine, Klinikum rechts der Isar, Technical University of Munich, School of Medicine and Health, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0002-7808-107X
Jürgen HauerTUM School of Natural Sciences, Department of Chemistry, Technical University of Munich, 85748 Garching, Germany.ORCID 0000-0002-6874-6138
Ronald SrokaDepartment of Urology, LMU University Hospital, LMU Munich, 81377 Munich, Germany.
Kiran Sankar MaitiTUM School of Natural Sciences, Department of Chemistry, Technical University of Munich, 85748 Garching, Germany.ORCID 0000-0002-7337-7541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring prompt and precise identification of bacterial pathogens is essential for initiating appropriate antibiotic therapy and combating severe bacterial infections effectively. Traditional microbiological diagnostics, involving initial culturing and subsequent pathogen detection, are often laborious and time-consuming. Even though modern techniques such as Raman spectroscopy, MALDI-TOF, and 16S rRNA PCR have significantly expedited this process, new methods are required for the accurate and fast detection of bacterial pathogens. In this context, using bacterial metabolites for detection is promising as a future diagnostic approach. Fourier-transform infrared spectroscopy was employed in our study to analyze the biochemical composition of gas phases of bacterial isolates. We can characterize individual bacterial strains and identify specific bacteria within mixtures by utilizing volatile-metabolite-based infrared detection techniques. This approach enables rapid identification by discerning distinctive spectral features and intensities for different bacteria, offering new perspectives for bacterial pathogen diagnostics. This technique holds innovative potential to accelerate progress in the field, providing a faster and potentially more precise alternative to conventional diagnostic methods.

Indexed as

BacteriaVolatile Organic CompoundsSpectroscopy, Fourier Transform InfraredVolatile Organic Compounds

Identifiers

PMID39707942
PMCPMC11740187

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.