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A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses

Current multiplexed diagnostics for Zika, dengue, and chikungunya viruses are situated outside the intersection of affordability, high performance, and suitability for use at the point-of-care in resource-limited settings. Consequently, insufficient diagnostic capabilities are a key limitation facin...

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Autores principales: Priye, Aashish, Bird, Sara W., Light, Yooli K., Ball, Cameron S., Negrete, Oscar A., Meagher, Robert J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357913/
https://www.ncbi.nlm.nih.gov/pubmed/28317856
http://dx.doi.org/10.1038/srep44778
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author Priye, Aashish
Bird, Sara W.
Light, Yooli K.
Ball, Cameron S.
Negrete, Oscar A.
Meagher, Robert J.
author_facet Priye, Aashish
Bird, Sara W.
Light, Yooli K.
Ball, Cameron S.
Negrete, Oscar A.
Meagher, Robert J.
author_sort Priye, Aashish
collection PubMed
description Current multiplexed diagnostics for Zika, dengue, and chikungunya viruses are situated outside the intersection of affordability, high performance, and suitability for use at the point-of-care in resource-limited settings. Consequently, insufficient diagnostic capabilities are a key limitation facing current Zika outbreak management strategies. Here we demonstrate highly sensitive and specific detection of Zika, chikungunya, and dengue viruses by coupling reverse-transcription loop-mediated isothermal amplification (RT-LAMP) with our recently developed quenching of unincorporated amplification signal reporters (QUASR) technique. We conduct reactions in a simple, inexpensive and portable “LAMP box” supplemented with a consumer class smartphone. The entire assembly can be powered by a 5 V USB source such as a USB power bank or solar panel. Our smartphone employs a novel algorithm utilizing chromaticity to analyze fluorescence signals, which improves the discrimination of positive/negative signals by 5-fold when compared to detection with traditional RGB intensity sensors or the naked eye. The ability to detect ZIKV directly from crude human sample matrices (blood, urine, and saliva) demonstrates our device’s utility for widespread clinical deployment. Together, these advances enable our system to host the key components necessary to expand the use of nucleic acid amplification-based detection assays towards point-of-care settings where they are needed most.
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spelling pubmed-53579132017-03-22 A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses Priye, Aashish Bird, Sara W. Light, Yooli K. Ball, Cameron S. Negrete, Oscar A. Meagher, Robert J. Sci Rep Article Current multiplexed diagnostics for Zika, dengue, and chikungunya viruses are situated outside the intersection of affordability, high performance, and suitability for use at the point-of-care in resource-limited settings. Consequently, insufficient diagnostic capabilities are a key limitation facing current Zika outbreak management strategies. Here we demonstrate highly sensitive and specific detection of Zika, chikungunya, and dengue viruses by coupling reverse-transcription loop-mediated isothermal amplification (RT-LAMP) with our recently developed quenching of unincorporated amplification signal reporters (QUASR) technique. We conduct reactions in a simple, inexpensive and portable “LAMP box” supplemented with a consumer class smartphone. The entire assembly can be powered by a 5 V USB source such as a USB power bank or solar panel. Our smartphone employs a novel algorithm utilizing chromaticity to analyze fluorescence signals, which improves the discrimination of positive/negative signals by 5-fold when compared to detection with traditional RGB intensity sensors or the naked eye. The ability to detect ZIKV directly from crude human sample matrices (blood, urine, and saliva) demonstrates our device’s utility for widespread clinical deployment. Together, these advances enable our system to host the key components necessary to expand the use of nucleic acid amplification-based detection assays towards point-of-care settings where they are needed most. Nature Publishing Group 2017-03-20 /pmc/articles/PMC5357913/ /pubmed/28317856 http://dx.doi.org/10.1038/srep44778 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Priye, Aashish
Bird, Sara W.
Light, Yooli K.
Ball, Cameron S.
Negrete, Oscar A.
Meagher, Robert J.
A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses
title A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses
title_full A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses
title_fullStr A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses
title_full_unstemmed A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses
title_short A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses
title_sort smartphone-based diagnostic platform for rapid detection of zika, chikungunya, and dengue viruses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357913/
https://www.ncbi.nlm.nih.gov/pubmed/28317856
http://dx.doi.org/10.1038/srep44778
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