Evidence map›Paper›PMID 40997912›Full record

ArticleAnalytical chemistry2025

Infrared Spectroscopic Profiling of Volatile Metabolites from Uropathogenic Bacteria: Basic Investigations toward Rapid UTI Diagnostics.

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

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Kiran Sankar MaitiTUM School of Natural Sciences, Department of Chemistry, Technical University of Munich, 85748 Garching, Germany.ORCID 0000-0002-7337-7541
Susmita RoyLaser-Forschungslabor, LIFE-Center, LMU University Hospital, LMU Munich, 82152 Planegg, Germany.ORCID 0000-0002-7808-107X
Christian ZennerLMU Munich, Department of Veterinary Sciences, Chair of Bacteriology and Mycology, Sonnenstraße 24, 85764 Oberschleißheim, Germany.
Lindsay J HallSchool of Life Sciences, Intestinal Microbiome, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.
Jürgen HauerTUM School of Natural Sciences, Department of Chemistry, Technical University of Munich, 85748 Garching, Germany.
Ronald SrokaLaser-Forschungslabor, LIFE-Center, LMU University Hospital, LMU Munich, 82152 Planegg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infections (UTIs) are among the most common bacterial infections, typically begin in the urethra but capable of rapidly progressing to the bladder and kidneys. Without timely intervention, these infections can lead to renal failure and, in severe cases, multiorgan failure. Current diagnostic methods for identifying bacterial pathogens are often time-consuming, highlighting the need for faster, more efficient detection techniques. Metabolite-based bacterial diagnostics offer a promising alternative, enabling minimally or noninvasive detection without the need for bacterial culture─provided that the metabolic profiles of individual bacterial strains are well characterized. This study investigates ten bacterial species associated with UTIs through the analysis of their volatile metabolites using Fourier-transform infrared (FT-IR) spectroscopy. Numerous spectral features corresponding to distinct metabolites were identified. Within a multidimensional metabolic space, each bacterial strain exhibited a unique volatile metabolite profile, serving as the basis for accurate identification. This approach lays the groundwork for future diagnostic platforms in which FT-IR spectroscopy could serve as a rapid, culture-free analytical tool to detect bacterial pathogens directly from exhaled breath and/or urine.

Indexed as

BacteriaUrinary Tract InfectionsVolatile Organic CompoundsHumansSpectroscopy, Fourier Transform InfraredVolatile Organic Compounds

Identifiers

PMID40997912
PMCPMC12509185

What OpenQuestion holds

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LicenceCC BY
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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.