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ACS Infect Dis. 2017 Oct 13;3(10):767-776. doi: 10.1021/acsinfecdis.7b00110. Epub 2017 Sep 6.

Surface-Enhanced Raman Spectroscopy-Based Sandwich Immunoassays for Multiplexed Detection of Zika and Dengue Viral Biomarkers.

Author information

1
Department of Engineering, University of Massachusetts Boston , 100 Morrissey Blvd., Boston, Massachusetts 02125, United States.
2
IQS School of Engineering , Via Augusta 390, Barcelona, 08018, Spain.
3
Department of Microbiology and Immunology, Harvard Medical School , 77 Ave. Louis Pasteur, Boston, Massachusetts 02115, United States.

Abstract

Zika and dengue are mosquito-borne diseases that present similar nonspecific symptoms but possess dramatically different outcomes. The first line of defense in epidemic outbreaks are rapid point-of-care diagnostics. Because many outbreaks occur in areas that are resource poor, assays that are easy to use, inexpensive, and require no power have become invaluable in patient treatment, quarantining, and surveillance. Paper-based sandwich immunoassays such as lateral flow assays (LFAs) are attractive as point-of-care solutions as they have the potential for wider deployability than lab-based assays such as PCR. However, their low sensitivity imposes limitations on their ability to detect low biomarker levels and early diagnosis. Here, we exploit the high sensitivity of surface-enhanced Raman spectroscopy (SERS) in a multiplexed assay that can distinguish between Zika and dengue nonstructural protein 1 (NS1) biomarkers. SERS-encoded gold nanostars were conjugated to specific antibodies for both diseases and used in a dipstick immunoassay, which exhibited 15-fold and 7-fold lower detection limits for Zika NS1 and dengue NS1, respectively. This platform combines the simplicity of a LFA with the high sensitivity of SERS and could not only improve Zika diagnosis but also detect diseases sooner after infection when biomarker levels are low.

KEYWORDS:

NS1; Zika; dengue; gold nanostars; immunochemistry; lateral flow assay; sandwich immunoassay; surface-enhanced Raman spectroscopy

PMID:
28875696
DOI:
10.1021/acsinfecdis.7b00110
[Indexed for MEDLINE]

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