Evidence map›Paper›PMID 31882450›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

A rapid and label-free platform for virus capture and identification from clinical samples.

Yin-Ting Yeh, Kristen Gulino, YuHe Zhang, Aswathy Sabestien, Tsui-Wen Chou, Bin Zhou, Zhong Lin, Istvan Albert, Huaguang Lu, Venkataraman Swaminathan and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
22.8field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 211 citations in OpenAlex.

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  18. Mechanisms, Techniques and Devices of Airborne Virus Detection: A Review.International journal of environmental research and public health · 2023
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17 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Yin-Ting YehDepartment of Physics, The Pennsylvania State University, University Park, PA 16802; yxy155@psu.edu mut11@psu.edu.ORCID 0000-0002-1512-9267
Kristen GulinoDepartment of Biology, New York University, New York, NY 10003.
YuHe ZhangDepartment of Physics, The Pennsylvania State University, University Park, PA 16802.
Aswathy SabestienDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802.
Tsui-Wen ChouDepartment of Biology, New York University, New York, NY 10003.
Bin ZhouDepartment of Biology, New York University, New York, NY 10003.
Zhong LinDepartment of Physics, The Pennsylvania State University, University Park, PA 16802.
Istvan AlbertDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802.
Huaguang LuDepartment of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA 16802.
Venkataraman SwaminathanDepartment of Physics, The Pennsylvania State University, University Park, PA 16802.
Elodie GhedinDepartment of Biology, New York University, New York, NY 10003.ORCID 0000-0002-1515-725X
Mauricio TerronesDepartment of Physics, The Pennsylvania State University, University Park, PA 16802; yxy155@psu.edu mut11@psu.edu.ORCID 0000-0003-0010-2851
Pennsylvania State University · USNew York University · US

Funding

Determining factors of transmission and evolution of SARS-CoV-2 in populations at risk ZIAAI001324 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI GHEDIN, ELODIE · 2020 to 2025
$2.7M
6 · The paper itself

Abstract

Emerging and reemerging viruses are responsible for a number of recent epidemic outbreaks. A crucial step in predicting and controlling outbreaks is the timely and accurate characterization of emerging virus strains. We present a portable microfluidic platform containing carbon nanotube arrays with differential filtration porosity for the rapid enrichment and optical identification of viruses. Different emerging strains (or unknown viruses) can be enriched and identified in real time through a multivirus capture component in conjunction with surface-enhanced Raman spectroscopy. More importantly, after viral capture and detection on a chip, viruses remain viable and get purified in a microdevice that permits subsequent in-depth characterizations by various conventional methods. We validated this platform using different subtypes of avian influenza A viruses and human samples with respiratory infections. This technology successfully enriched rhinovirus, influenza virus, and parainfluenza viruses, and maintained the stoichiometric viral proportions when the samples contained more than one type of virus, thus emulating coinfection. Viral capture and detection took only a few minutes with a 70-fold enrichment enhancement; detection could be achieved with as little as 10

Indexed as

HumansInfluenza A virusMicrobiological TechniquesMicrotechnologyNanotubes, CarbonRespiratory Tract InfectionsRespirovirusRhinovirusSensitivity and SpecificitySilicon DioxideSpectrum Analysis, RamanStaining and LabelingVirionVirologyVirus DiseasesVirusesNanotubes, CarbonSilicon Dioxidecarbon nanotubeinfectious diseasemicrofabricationsequencingvirus isolation

Identifiers

PMID31882450
PMCPMC6969489
OpenAlexW2997926335

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.