16 May 2018 Grating coupled-surface plasmon resonance and fluorescent plasmonics biosensor for diagnosis of Lyme disease
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Abstract
Infection with the spirochete Borrelia burgdorferi leads to Lyme disease, the most common tick-borne disease in North America, Europe, and Asia. Currently, Lyme disease is diagnosed using a two-tiered approach of ELISA/immunofluorescence, followed by Western blot analysis. These assays measure serological immune response to the infection, namely levels of IgG or IgM antibodies that bind to B. burgdorferi antigens. However, the existing approach is non-quantitative, lacks sensitivity, and may contribute to delayed diagnosis. In this study, grating-coupled fluorescence plasmonics (GC-FP) was used for rapid, highly-multiplexed detection of antibodies that bind B. burgdorferi proteins in human and mouse blood serum. GC-FP is an optical plasmonic method that enables quantitative detection of molecular interactions and can be incorporated into microfluidic format for highly multiplexed testing. We have demonstrated that this technique allows us to use only three microliters of blood serum to quantitatively detect multiple target antibodies within 30 minutes. We have also shown that GC-FP is faster and more sensitive than the traditional two-tiered Lyme disease testing scheme, making it attractive for diagnostic purposes. This proof-of-concept study provides foundations to develop GC-FP as a highly sensitive diagnostic tool to enhance the efficiency of assessment for Lyme disease patients, which will ultimately improve treatment outcomes.
Conference Presentation
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Eunice Chou, Eunice Chou, Gabriel Zenteno, Gabriel Zenteno, Benjamin Taubner, Benjamin Taubner, Arturo Pilar, Arturo Pilar, Ernest Guignon, Ernest Guignon, William Page, William Page, Yi-Pin Lin, Yi-Pin Lin, Nathaniel C. Cady, Nathaniel C. Cady, } "Grating coupled-surface plasmon resonance and fluorescent plasmonics biosensor for diagnosis of Lyme disease", Proc. SPIE 10629, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIX, 106290I (16 May 2018); doi: 10.1117/12.2303798; https://doi.org/10.1117/12.2303798
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