Evidence map›Paper›PMID 39209886›Full record

ArticleScientific reports2024

A large scale study of portable sweat test sensor for accurate, non-invasive and rapid COVID-19 screening based on volatile compound marker detection.

Isaya Thaveesangsakulthai, Kaywalee Chatdarong, Naraporn Somboonna, Nuttapon Pombubpa, Tanapat Palaga, Sureerat Makmuang, Kanet Wongravee, Voravee Hoven, Pakpum Somboon, Pattama Torvorapanit and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
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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

12 authors.

Isaya ThaveesangsakulthaiDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Kaywalee ChatdarongDepartment of Obstetrics, Gynaecology and Reproduction, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Naraporn SomboonnaDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Nuttapon PombubpaDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Tanapat PalagaDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Sureerat MakmuangSensor Research Unit (SRU), Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Kanet WongraveeSensor Research Unit (SRU), Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Voravee HovenDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Pakpum SomboonDepartment of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand.
Pattama TorvorapanitDivision of Infectious Diseases, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Thumnoon NhujakDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Chadin KulsingDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand. Chadin.k@chula.ac.th.

Funding

Thailand Science research and Innovation Fund HEA662300078Thailand Science Research and Innovation Fund Chulalongkorn University CU_FRB66_food(16)_124_23_54
6 · The paper itself

Abstract

This study established a novel infield sensing approach based on detection of the volatile compound markers in skin secretions. This was based on analysis of volatile compounds in axillary sweat samples collected from RT-PCR-proven Coronavirus disease 2019 (COVID-19) positive and negative populations using gas chromatography-mass spectrometry (GC-MS). The analysis proposed the possible markers of the monoaromatic compounds and ethyl hexyl acrylate. A portable photo ionization detector (PID) incorporated with the selective material towards the marker compounds was then developed with the pressurized injection approach. This provided the accuracy of 100% in the research phase (n = 125). The developed approach was then applied for screening of 2207 COVID-19 related cases covering the periods of the Alpha, Beta, Delta and Omicron variants of SARS-CoV-2 infection in Bangkok, Thailand. This offered the sensitivity, specificity and accuracy ranges of 92-99, 93-98 and 95-97%, respectively.

Indexed as

COVID-19Gas Chromatography-Mass SpectrometrySARS-CoV-2SweatVolatile Organic CompoundsAdultAgedBiomarkersCOVID-19 TestingFemaleHumansMaleMiddle AgedSensitivity and SpecificityThailandYoung AdultBiomarkersVolatile Organic CompoundsCOVID-19 screeningDisease diagnosisModified PIDSweat sensorVOCs

Identifiers

PMID39209886
PMCPMC11362290

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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.