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Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples
Saliva specimens have drawn interest for diagnosing respiratory viral infections due to their ease of collection and decreased risk to healthcare providers. However, rapid and sensitive immunoassays have not yet been satisfactorily demonstrated for such specimens due to their viscosity and low viral...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013775/ https://www.ncbi.nlm.nih.gov/pubmed/35450423 http://dx.doi.org/10.1093/pnasnexus/pgac028 |
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author | Breshears, Lane E Nguyen, Brandon T Akarapipad, Patarajarin Sosnowski, Katelyn Kaarj, Kattika Quirk, Grace Uhrlaub, Jennifer L Nikolich-Žugich, Janko Worobey, Michael Yoon, Jeong-Yeol |
author_facet | Breshears, Lane E Nguyen, Brandon T Akarapipad, Patarajarin Sosnowski, Katelyn Kaarj, Kattika Quirk, Grace Uhrlaub, Jennifer L Nikolich-Žugich, Janko Worobey, Michael Yoon, Jeong-Yeol |
author_sort | Breshears, Lane E |
collection | PubMed |
description | Saliva specimens have drawn interest for diagnosing respiratory viral infections due to their ease of collection and decreased risk to healthcare providers. However, rapid and sensitive immunoassays have not yet been satisfactorily demonstrated for such specimens due to their viscosity and low viral loads. Using paper microfluidic chips and a smartphone-based fluorescence microscope, we developed a highly sensitive, low-cost immunofluorescence particulometric SARS-CoV-2 assay from clinical saline gargle samples. We demonstrated the limit of detection of 10 ag/μL. With easy-to-collect saline gargle samples, our clinical sensitivity, specificity, and accuracy were 100%, 86%, and 93%, respectively, for n = 27 human subjects with n = 13 RT-qPCR positives. |
format | Online Article Text |
id | pubmed-9013775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90137752022-04-18 Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples Breshears, Lane E Nguyen, Brandon T Akarapipad, Patarajarin Sosnowski, Katelyn Kaarj, Kattika Quirk, Grace Uhrlaub, Jennifer L Nikolich-Žugich, Janko Worobey, Michael Yoon, Jeong-Yeol PNAS Nexus Physical Sciences and Engineering Saliva specimens have drawn interest for diagnosing respiratory viral infections due to their ease of collection and decreased risk to healthcare providers. However, rapid and sensitive immunoassays have not yet been satisfactorily demonstrated for such specimens due to their viscosity and low viral loads. Using paper microfluidic chips and a smartphone-based fluorescence microscope, we developed a highly sensitive, low-cost immunofluorescence particulometric SARS-CoV-2 assay from clinical saline gargle samples. We demonstrated the limit of detection of 10 ag/μL. With easy-to-collect saline gargle samples, our clinical sensitivity, specificity, and accuracy were 100%, 86%, and 93%, respectively, for n = 27 human subjects with n = 13 RT-qPCR positives. Oxford University Press 2022-03-16 /pmc/articles/PMC9013775/ /pubmed/35450423 http://dx.doi.org/10.1093/pnasnexus/pgac028 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the National Academy of Sciences. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Physical Sciences and Engineering Breshears, Lane E Nguyen, Brandon T Akarapipad, Patarajarin Sosnowski, Katelyn Kaarj, Kattika Quirk, Grace Uhrlaub, Jennifer L Nikolich-Žugich, Janko Worobey, Michael Yoon, Jeong-Yeol Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples |
title | Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples |
title_full | Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples |
title_fullStr | Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples |
title_full_unstemmed | Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples |
title_short | Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples |
title_sort | sensitive, smartphone-based sars-cov-2 detection from clinical saline gargle samples |
topic | Physical Sciences and Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013775/ https://www.ncbi.nlm.nih.gov/pubmed/35450423 http://dx.doi.org/10.1093/pnasnexus/pgac028 |
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