A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses [electronic resource].

Published:: Washington, D.C. : United States. National Nuclear Security Administration, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description:: Article numbers 44,778 : digital, PDF file
Additional Creators:: Sandia National Laboratories, United States. National Nuclear Security Administration, National Institutes of Health (U.S.), and United States. Department of Energy. Office of Scientific and Technical Information

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Summary:

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.

Report Numbers:

E 1.99:sand2016--11988j
sand2016--11988j

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Published through SciTech Connect.
03/20/2017.
"sand2016--11988j"
"srep44778"
Scientific Reports 7 ISSN 2045-2322 AM
Aashish Priye; Sara W. Bird; Yooli K. Light; Cameron S. Ball; Oscar A. Negrete; Robert J. Meagher.

Funding Information:

AC04-94AL85000

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