Evidence map›Paper›PMID 39599040›Full record

ReviewSensors (Basel, Switzerland)2024

A Comprehensive Review of Biomarker Sensors for a Breathalyzer Platform.

Pardis Sadeghi, Rania Alshawabkeh, Amie Rui, Nian Xiang Sun

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. 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. 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

4 authors.

Pardis SadeghiW.M. Keck Laboratory for Integrated Ferroics, Department of Electrical & Computer Engineering, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0003-2231-0846
Rania AlshawabkehW.M. Keck Laboratory for Integrated Ferroics, Department of Electrical & Computer Engineering, Northeastern University, Boston, MA 02115, USA.ORCID 0009-0000-1497-6643
Amie RuiW.M. Keck Laboratory for Integrated Ferroics, Department of Electrical & Computer Engineering, Northeastern University, Boston, MA 02115, USA.
Nian Xiang SunW.M. Keck Laboratory for Integrated Ferroics, Department of Electrical & Computer Engineering, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0002-3120-0094

Funding

National Science Foundation 2200221
6 · The paper itself

Abstract

Detecting volatile organic compounds (VOCs) is increasingly recognized as a pivotal tool in non-invasive disease diagnostics. VOCs are metabolic byproducts, mostly found in human breath, urine, feces, and sweat, whose profiles may shift significantly due to pathological conditions. This paper presents a thorough review of the latest advancements in sensor technologies for VOC detection, with a focus on their healthcare applications. It begins by introducing VOC detection principles, followed by a review of the rapidly evolving technologies in this area. Special emphasis is given to functionalized molecularly imprinted polymer-based biochemical sensors for detecting breath biomarkers, owing to their exceptional selectivity. The discussion examines SWaP-C considerations alongside the respective advantages and disadvantages of VOC sensing technologies. The paper also tackles the principal challenges facing the field and concludes by outlining the current status and proposing directions for future research.

Indexed as

BiomarkersBiosensing TechniquesBreath TestsVolatile Organic CompoundsHumansBiomarkersVolatile Organic Compoundsbiomarkerbiosensordiseasemolecularly imprinted polymersnanomaterialnon-invasivevolatile organic compound

Identifiers

PMID39599040
PMCPMC11598263

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.