Evidence map›Paper›PMID 36150327›Full record

ArticleBiosensors & bioelectronics2022

Molecular detection of SARS-COV-2 in exhaled breath at the point-of-need.

Tim Stakenborg, Joren Raymenants, Ahmed Taher, Elisabeth Marchal, Bert Verbruggen, Sophie Roth, Ben Jones, Abdul Yurt, Wout Duthoo, Klaas Bombeke and 34 more

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. 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

44 authors.

Tim StakenborgLife Science Technologies Department, Imec, Leuven, Belgium.
Joren RaymenantsDepartment of Microbiology, Immunology and Transplantation, KU Leuven, Belgium; Department of General Internal Medicine, University Hospitals Leuven, Belgium.
Ahmed TaherLife Science Technologies Department, Imec, Leuven, Belgium.
Elisabeth MarchalLife Science Technologies Department, Imec, Leuven, Belgium.
Bert VerbruggenImec Solutions Department, Imec, Leuven, Belgium.
Sophie RothLife Science Technologies Department, Imec, Leuven, Belgium.
Ben JonesLife Science Technologies Department, Imec, Leuven, Belgium.
Abdul YurtImec Solutions Department, Imec, Leuven, Belgium.
Wout DuthooEnabling Digital Transformations Department, Imec, Ghent, Belgium.
Klaas BombekeImec-mict-UGent, Department of Communication Sciences, Ghent University, Belgium.
Maarten FauvartLife Science Technologies Department, Imec, Leuven, Belgium.
Julien VerplankenEnabling Digital Transformations Department, Imec, Ghent, Belgium.
Rodrigo S WiederkehrLife Science Technologies Department, Imec, Leuven, Belgium.
Aurelie HumbertLife Science Technologies Department, Imec, Leuven, Belgium.
Chi DangLife Science Technologies Department, Imec, Leuven, Belgium.
Evi VlassaksImec Solutions Department, Imec, Leuven, Belgium.
Alejandra L Jáuregui UribeLife Science Technologies Department, Imec, Leuven, Belgium.
Zhenxiang LuoImec Solutions Department, Imec, Leuven, Belgium.
Chengxun LiuLife Science Technologies Department, Imec, Leuven, Belgium.
Kirill ZinovievLife Science Technologies Department, Imec, Leuven, Belgium.
Riet LabieImec Solutions Department, Imec, Leuven, Belgium.
Aduen Darriba FrederiksImec-mict-UGent, Department of Industrial Systems Engineering and Product Design, Ghent University, Belgium.
Jelle SaldienImec-mict-UGent, Department of Industrial Systems Engineering and Product Design, Ghent University, Belgium.
Kris CovensLife Science Technologies Department, Imec, Leuven, Belgium.
Pieter BerdenLife Science Technologies Department, Imec, Leuven, Belgium; Department of Physics and Astronomy, KU Leuven, Belgium.
Bert SchreursDepartment of Business, Research Group Management and Strategy, Vrije Universiteit Brussel, Belgium.
Joost Van DuppenLife Science Technologies Department, Imec, Leuven, Belgium.
Rabea HanifaLife Science Technologies Department, Imec, Leuven, Belgium.
Megane BeuscartLife Science Technologies Department, Imec, Leuven, Belgium.
Van PhamLife Science Technologies Department, Imec, Leuven, Belgium.
Erik EmmenImec Solutions Department, Imec, Leuven, Belgium.
Annelien DewagtereLife Science Technologies Department, Imec, Leuven, Belgium.
Ziduo LinImec Solutions Department, Imec, Leuven, Belgium.
Marco PecaLife Science Technologies Department, Imec, Leuven, Belgium.
Youssef El JerrariLife Science Technologies Department, Imec, Leuven, Belgium.
Chinmay NawghaneImec Solutions Department, Imec, Leuven, Belgium.
Chad ArnettImec Solutions Department, Imec, Leuven, Belgium.
Andy LambrechtsImec Solutions Department, Imec, Leuven, Belgium.
Paru DeshpandeLife Science Technologies Department, Imec, Leuven, Belgium.
Katrien LagrouDepartment of Microbiology, Immunology and Transplantation, KU Leuven, Belgium; Department of Laboratory Medicine, University Hospitals Leuven, Belgium.
Paul De MunterDepartment of Microbiology, Immunology and Transplantation, KU Leuven, Belgium; Department of General Internal Medicine, University Hospitals Leuven, Belgium.
Emmanuel AndréDepartment of Microbiology, Immunology and Transplantation, KU Leuven, Belgium; Department of Laboratory Medicine, University Hospitals Leuven, Belgium.
Nik Van den WijngaertImec Solutions Department, Imec, Leuven, Belgium. Electronic address: nik.vandenwijngaert@imec.be.
Peter PeumansLife Science Technologies Department, Imec, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 pandemic has highlighted the need for improved technologies to help control the spread of contagious pathogens. While rapid point-of-need testing plays a key role in strategies to rapidly identify and isolate infectious patients, current test approaches have significant shortcomings related to assay limitations and sample type. Direct quantification of viral shedding in exhaled particles may offer a better rapid testing approach, since SARS-CoV-2 is believed to spread mainly by aerosols. It assesses contagiousness directly, the sample is easy and comfortable to obtain, sampling can be standardized, and the limited sample volume lends itself to a fast and sensitive analysis. In view of these benefits, we developed and tested an approach where exhaled particles are efficiently sampled using inertial impaction in a micromachined silicon chip, followed by an RT-qPCR molecular assay to detect SARS-CoV-2 shedding. Our portable, silicon impactor allowed for the efficient capture (>85%) of respiratory particles down to 300 nm without the need for additional equipment. We demonstrate using both conventional off-chip and in-situ PCR directly on the silicon chip that sampling subjects' breath in less than a minute yields sufficient viral RNA to detect infections as early as standard sampling methods. A longitudinal study revealed clear differences in the temporal dynamics of viral load for nasopharyngeal swab, saliva, breath, and antigen tests. Overall, after an infection, the breath-based test remains positive during the first week but is the first to consistently report a negative result, putatively signalling the end of contagiousness and further emphasizing the potential of this tool to help manage the spread of airborne respiratory infections.

Indexed as

Biosensing TechniquesCOVID-19HumansLongitudinal StudiesRespiratory Aerosols and DropletsRNA, ViralSARS-CoV-2SiliconRNA, ViralSiliconAerosolsBreathDiagnosticsImpactorLab-on-a-chipSARS-CoV-2

Identifiers

PMID36150327
PMCPMC9424122

What OpenQuestion holds

Textmetadata
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.