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

Abstract

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. 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. The 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. Altogether, 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.

Authors:
 [1];  [1];  [2];  [1];  [1];  [1]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States). Dept. of Biotechnology and Bioengineering
  2. Sandia National Lab. (SNL-CA), Livermore, CA (United States). Dept. of Systems Biology
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); National Institutes of Health (NIH)
OSTI Identifier:
1399884
Report Number(s):
SAND2016-11988J
Journal ID: ISSN 2045-2322; srep44778
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 7; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 60 APPLIED LIFE SCIENCES; biological techniques; biotechnology; viral infection

Citation Formats

Priye, Aashish, Bird, Sara W., Light, Yooli K., Ball, Cameron S., Negrete, Oscar A., and Meagher, Robert J. A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses. United States: N. p., 2017. Web. doi:10.1038/srep44778.
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. United States. doi:10.1038/srep44778.
Priye, Aashish, Bird, Sara W., Light, Yooli K., Ball, Cameron S., Negrete, Oscar A., and Meagher, Robert J. Mon . "A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses". United States. doi:10.1038/srep44778. https://www.osti.gov/servlets/purl/1399884.
@article{osti_1399884,
title = {A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses},
author = {Priye, Aashish and Bird, Sara W. and Light, Yooli K. and Ball, Cameron S. and Negrete, Oscar A. and Meagher, Robert J.},
abstractNote = {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. 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. The 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. Altogether, 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.},
doi = {10.1038/srep44778},
journal = {Scientific Reports},
number = ,
volume = 7,
place = {United States},
year = {2017},
month = {3}
}

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Cited by: 58 works
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    Works referencing / citing this record:

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