Evidence map›Paper›PMID 41147886›Full record

ArticleAnalytical chemistry2025

Is Digital Drying an Effective Method for Infrared Spectroscopy of Gaseous Biofluid?

Kiran Sankar Maiti, Juergen Hauer, Susmita Roy

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kiran Sankar MaitiTUM School of Natural Sciences, Department of Chemistry, Technical University of Munich, 85748 Garching, Germany.ORCID 0000-0002-7337-7541
Juergen HauerTUM School of Natural Sciences, Department of Chemistry, Technical University of Munich, 85748 Garching, Germany.
Susmita RoySchool of Medicine and Health, Center for Digital Health and Technology, Klinikum Rechts der Isar, Department of Orthopaedics and Sports Orthopaedics, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0002-7808-107X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, gaseous biofluid analysis has gained popularity as a diagnostic approach due to the noninvasive collection of gaseous bioprobes. Among many biofluids, human exhaled breath stands out as a promising option, providing strong evidence of volatile biomarkers for various diseases. However, identifying these biomarkers is challenging due to the high concentration of water vapor in exhaled breath. Various experimental techniques, such as mass spectrometry, electronic nose, infrared spectroscopy, etc., have demonstrated their potential as diagnostic tools. However, water vapor in exhaled breath poses a significant obstacle to metabolite identification across nearly all experimental methods, particularly in infrared spectroscopy-based diagnostics. Nevertheless, in addition to physical removal, careful analysis of the spectral behavior of water molecules enables highly accurate identification of disease-specific biomarkers using infrared spectroscopy. This study presents a comprehensive qualitative analysis of the infrared spectral features of gaseous water molecules.

Indexed as

GasesWaterBiomarkersBreath TestsDesiccationHumansSpectrophotometry, InfraredBiomarkersGasesWater

Identifiers

PMID41147886
PMCPMC12613144

What OpenQuestion holds

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Registered trials

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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.