Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
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
_version_ 1784688067788931072
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
work_keys_str_mv AT breshearslanee sensitivesmartphonebasedsarscov2detectionfromclinicalsalinegarglesamples
AT nguyenbrandont sensitivesmartphonebasedsarscov2detectionfromclinicalsalinegarglesamples
AT akarapipadpatarajarin sensitivesmartphonebasedsarscov2detectionfromclinicalsalinegarglesamples
AT sosnowskikatelyn sensitivesmartphonebasedsarscov2detectionfromclinicalsalinegarglesamples
AT kaarjkattika sensitivesmartphonebasedsarscov2detectionfromclinicalsalinegarglesamples
AT quirkgrace sensitivesmartphonebasedsarscov2detectionfromclinicalsalinegarglesamples
AT uhrlaubjenniferl sensitivesmartphonebasedsarscov2detectionfromclinicalsalinegarglesamples
AT nikolichzugichjanko sensitivesmartphonebasedsarscov2detectionfromclinicalsalinegarglesamples
AT worobeymichael sensitivesmartphonebasedsarscov2detectionfromclinicalsalinegarglesamples
AT yoonjeongyeol sensitivesmartphonebasedsarscov2detectionfromclinicalsalinegarglesamples