Evidence map›Paper›PMID 34973565›Full record

ArticleBiosensors & bioelectronics2022

Direct capture and smartphone quantification of airborne SARS-CoV-2 on a paper microfluidic chip.

Sangsik Kim, Patarajarin Akarapipad, Brandon T Nguyen, Lane E Breshears, Katelyn Sosnowski, Jacob Baker, Jennifer L Uhrlaub, Janko Nikolich-Žugich, Jeong-Yeol Yoon

Open access · greenAbstract read
PubMed Full text at PMC Publisher
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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

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  5. Optical lateral flow assays in early diagnosis of SARS-CoV-2 infection.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
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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

9 authors at 1 institution in 1 country.

Sangsik KimDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
Patarajarin AkarapipadDepartment 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.
Lane E BreshearsDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
Katelyn SosnowskiDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
Jacob BakerDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
Jennifer L UhrlaubDepartment of Immunobiology and the University of Arizona Center on Aging, The University of Arizona College of Medicine-Tucson, Tucson, AZ, 85724, United States.
Janko Nikolich-ŽugichDepartment of Immunobiology and the University of Arizona Center on Aging, The University of Arizona College of Medicine-Tucson, Tucson, AZ, 85724, United States.
Jeong-Yeol YoonDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States. Electronic address: jyyoon@arizona.edu.
University of Arizona · US

Funding

Computational and Mathematical Modeling of Biomedical SystemsT32GM132008 · NIGMS · UNIVERSITY OF ARIZONA · PI Ryan Gutenkunst, JOANNA MASEL · 2019 to 2026
$2.3M
NIGMS NIH HHS T32 GM132008
6 · The paper itself

Abstract

SARS, a new type of respiratory disease caused by SARS-CoV, was identified in 2003 with significant levels of morbidity and mortality. The recent pandemic of COVID-19, caused by SARS-CoV-2, has generated even greater extents of morbidity and mortality across the entire world. Both SARS-CoV and SARS-CoV-2 spreads through the air in the form of droplets and potentially smaller droplets (aerosols) via exhaling, coughing, and sneezing. Direct detection from such airborne droplets would be ideal for protecting general public from potential exposure before they infect individuals. However, the number of viruses in such droplets and aerosols is too low to be detected directly. A separate air sampler and enough collection time (several hours) are necessary to capture a sufficient number of viruses. In this work, we have demonstrated the direct capture of the airborne droplets on the paper microfluidic chip without the need for any other equipment. 10% human saliva samples were spiked with the known concentration of SARS-CoV-2 and sprayed to generate liquid droplets and aerosols into the air. Antibody-conjugated submicron particle suspension is then added to the paper channel, and a smartphone-based fluorescence microscope isolated and counted the immunoagglutinated particles on the paper chip. The total capture-to-assay time was <30 min, compared to several hours with the other methods. In this manner, SARS-CoV-2 could be detected directly from the air in a handheld and low-cost manner, contributing to slowing the spread of SARS-CoV-2. We can presumably adapt this technology to a wide range of other respiratory viruses.

Indexed as

Biosensing TechniquesCOVID-19Severe acute respiratory syndrome-related coronavirusAerosolsHumansMicrofluidicsSARS-CoV-2SmartphoneAerosolsAirborne pathogensBioaerosolCOVID-19Paper microfluidicsRespiratory virusSmartphone microscope

Identifiers

PMID34973565
PMCPMC8701770
OpenAlexW4200425342

What OpenQuestion holds

Textmetadata
LicenceTDM
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.