Evidence map›Paper›PMID 39823225›Full record

ReviewACS sensors2025

Breath Analysis via Surface Enhanced Raman Spectroscopy.

Adrián Fernández-Lodeiro, Marios Constantinou, Christoforos Panteli, Agapios Agapiou, Chrysafis Andreou

Abstract readReview
In one paragraph

Review in ACS sensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Article
  3. Article
  4. 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

5 authors.

Adrián Fernández-LodeiroDepartment of Electrical and Computer Engineering, University of Cyprus, Nicosia 2112 Cyprus.ORCID 0000-0003-3742-1186
Marios ConstantinouDepartment of Electrical and Computer Engineering, University of Cyprus, Nicosia 2112 Cyprus.ORCID 0000-0003-2083-1437
Christoforos PanteliDepartment of Electrical and Computer Engineering, University of Cyprus, Nicosia 2112 Cyprus.
Agapios AgapiouDepartment of Chemistry, University of Cyprus, Nicosia 2112, Cyprus.ORCID 0000-0001-8371-0910
Chrysafis AndreouDepartment of Electrical and Computer Engineering, University of Cyprus, Nicosia 2112 Cyprus.ORCID 0000-0002-3464-9110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breath analysis is increasingly recognized as a powerful noninvasive diagnostic technique, and a plethora of exhaled volatile biomarkers have been associated with various diseases. However, traditional analytical methodologies are not amenable to high-throughput diagnostic applications at the point of need. An optical spectroscopic technique, surface-enhanced Raman spectroscopy (SERS), mostly used in the research setting for liquid sample analysis, has recently been applied to breath-based diagnostics. This promising noninvasive diagnostic tool has been demonstrated for the identification of various diseases, including lung cancer, gastric cancer, and diabetes. The versatility of SERS has enabled the use of different diagnostic strategies and allowed for fast and accurate detection of small analytes in exhaled breath. In this review, we provide an overview of recent advances in SERS-based breath analysis, focusing on sensors for the detection of gases and volatile organic compounds (VOCs) in exhaled breath, and highlight generic strategies for sample preconcentration and methods for spectral analysis. We aim to provide an overview of the state of the art and inspiration for further SERS investigation of expiration.

Indexed as

Spectrum Analysis, RamanVolatile Organic CompoundsBreath TestsExhalationGasesHumansSurface PropertiesGasesVolatile Organic CompoundsBreathMachine LearningMicrofluidicsNanomaterialsPreconcentratorsSensorsSurface-Enhanced Raman Spectroscopy (SERS)Volatile Organic Compounds (VOCs)

Identifiers

PMID39823225
PMCPMC11877638

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.