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A nanophotonic-based assay for point-of-care medical diagnostics of malaria in low and middle income countries
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Paper Abstract

Direct detection of genetic biomarkers in tissue and body fluids without complex target extraction and amplification processes can revolutionize nucleic acid-based diagnostics by enabling the use of this technology at the point-of-care. The development of point-of-care diagnostics is important to increase access to early treatment in underserved populations in low to middle income countries, which are disproportionally affected by infectious diseases and increasingly affected by certain types of cancer. The main obstacle to the development of such technologies is the low concentration of target sequences that makes this goal challenging. We report a method for direct detection of pathogen RNA in blood lysate using a bioassay using surface-enhanced Raman spectroscopy (SERS)-based detection assay that can be integrated in a “lab-in-a-stick” portable device. We could directly detect synthetic target with a limit of detection of 200 fM and, more importantly, we detected P. falciparum malaria parasite RNA directly in infected red blood cells lysate. Additionally, this paper will discuss the use of the developed assay for the identification of head and neck squamous cell carcinoma (HNSCC), which is an increasingly prevalent malignancy in low to middle income countries.

Paper Details

Date Published: 26 February 2019
PDF: 6 pages
Proc. SPIE 10869, Optics and Biophotonics in Low-Resource Settings V, 108690V (26 February 2019); doi: 10.1117/12.2512012
Show Author Affiliations
Hoan T. Ngo, Duke Univ. (United States)
Pietro Strobbia, Duke Univ. (United States)
Priya Vohra, Duke Univ. (United States)
Elizabeth Freedman, Duke Univ. (United States)
Agampodi Swarnapali De Silva Indrasekara, Duke Univ. (United States)
Walter T. Lee, Duke Univ. Medical Ctr. (United States)
Steve M. Taylor, Duke Univ. (United States)
Tuan Vo-Dinh, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 10869:
Optics and Biophotonics in Low-Resource Settings V
David Levitz; Aydogan Ozcan, Editor(s)

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