Evidence map›Paper›PMID 32397389›Full record

ReviewMolecules (Basel, Switzerland)2020

Advances in Mid-Infrared Spectroscopy-Based Sensing Techniques for Exhaled Breath Diagnostics.

Ramya Selvaraj, Nilesh J Vasa, S M Shiva Nagendra, Boris Mizaikoff

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
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

25 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
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  6. ACS sensors · 2025
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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

4 authors at 2 institutions in 2 countries.

Ramya SelvarajDepartment of Engineering Design, Indian Institute of Technology Madras, Chennai 600036, India.
Nilesh J VasaDepartment of Engineering Design, Indian Institute of Technology Madras, Chennai 600036, India.
S M Shiva NagendraDepartment of Civil Engineering, Indian Institute of Technology Madras, Chennai 600036, India.
Boris MizaikoffInstitute of Analytical and Bioanalytical Chemistry, Ulm University, 89081 Ulm, Germany.
Indian Institute of Technology Madras · INUniversität Ulm · DE

Funding

Deutsche Forschungsgemeinschaft GRK2203-PULMOSENSHorizon 2020 Framework Programme Project VOGAS (project number 824986Joint National Center for Combustion Research and Development (NCCRD) IR/S3/EU-01/2009
6 · The paper itself

Abstract

Human exhaled breath consists of more than 3000 volatile organic compounds, many of which are relevant biomarkers for various diseases. Although gas chromatography has been the gold standard for volatile organic compound (VOC) detection in exhaled breath, recent developments in mid-infrared (MIR) laser spectroscopy have led to the promise of compact point-of-care (POC) optical instruments enabling even single breath diagnostics. In this review, we discuss the evolution of MIR sensing technologies with a special focus on photoacoustic spectroscopy, and its application in exhaled breath biomarker detection. While mid-infrared point-of-care instrumentation promises high sensitivity and inherent molecular selectivity, the lack of standardization of the various techniques has to be overcome for translating these techniques into more widespread real-time clinical use.

Indexed as

Biosensing TechniquesBreath TestsHumansPhotoacoustic TechniquesPoint-of-Care TestingSpectrophotometry, InfraredVolatile Organic CompoundsVolatile Organic Compoundsbiomarkersexhaled breath analysisinfrared lasersmid-infraredMIRnon-invasive diagnosticsphotoacoustic spectroscopypoint-of-care (POC)QCLquantum cascade lasers

Identifiers

PMID32397389
PMCPMC7249025
OpenAlexW3021188949

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.