Evidence map›Paper›PMID 35058206›Full record

ReviewSLAS technology2022

Biosensor detection of airborne respiratory viruses such as SARS-CoV-2.

Lane E Breshears, Brandon T Nguyen, Samantha Mata Robles, Lillian Wu, Jeong-Yeol Yoon

Abstract readReview
In one paragraph

Review in SLAS technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Development of a Platform forAerosol science and technology : the journal of the American Association for Aerosol Research · 2026
    Article
  4. Real-world evaluation of a QCM-based biosensor for exhaled air.Analytical and bioanalytical chemistry · 2024
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. First Report ofViruses · 2023
    Article
  10. Review
  11. Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate.International journal of environmental research and public health · 2022
    Review
  12. Review
  13. Review
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.

Lane E BreshearsDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, United States.
Brandon T NguyenDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, United States.
Samantha Mata RoblesDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, United States.
Lillian WuDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, United States.
Jeong-Yeol YoonDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, United States. Electronic address: jyyoon@arizona.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Airborne SARS-CoV-2 transmission represents a significant route for possible human infection that is not yet fully understood. Viruses in droplets and aerosols are difficult to detect because they are typically present in low amounts. In addition, the current techniques used, such as RT-PCR and virus culturing, require large amounts of time to get results. Biosensor technology can provide rapid, handheld, and point-of-care systems that can identify virus presence quickly and accurately. This paper reviews the background of airborne virus transmission and the characteristics of SARS-CoV-2, its relative risk for transmission even at distances greater than the currently suggested 6 feet (or 2 m) physical distancing. Publications on biosensor technology that may be applied to the detection of airborne SARS-CoV-2 and other respiratory viruses are also summarized. Based on the current research we believe that there is a pressing need for continued research into handheld and rapid methods for sensitive collection and detection of airborne viruses. We propose a paper-based microfluidic chip and immunofluorescence assay as one method that could be investigated as a low-cost and portable option.

Indexed as

Biosensing TechniquesCOVID-19VirusesAerosolsHumansSARS-CoV-2AerosolsAerosolAir samplingCOVID-19DropletPoint-of-care

Identifiers

PMID35058206
PMCPMC8720388

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.