4.8 Article

A SERS-based lateral flow assay biosensor for highly sensitive detection of HIV-1 DNA

Journal

BIOSENSORS & BIOELECTRONICS
Volume 78, Issue -, Pages 530-537

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2015.11.099

Keywords

Human immunodeficiency virus type 1 (HIV-1); Surface-enhanced Raman scattering; Gold nanoparticles; DNA; Lateral flow assay

Funding

  1. National Research Foundation of Korea [2008-0061891, 2009-00426]
  2. Nano Material Technology Development Program through the National Research Foundation of Korea
  3. Ministry of Science, ICT and Future Planning [2012M3A7B4035288]
  4. National Natural Science Foundation of China [21275158]
  5. National Research Foundation of Korea [2009-00426, 2012M3A7B4035288] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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User-friendly lateral flow (LF) strips have been extensively used for point-of-care (POC) self-diagnostics, but they have some limitations in their detection sensitivity and quantitative analysis because they only identify the high cut-off value of a biomarker by utilizing color changes that are detected with the naked eye. To resolve these problems associated with LF strips, we developed a novel surface-enhanced Raman scattering (SERS)-based LF assay for the quantitative analysis of a specific biomarker in the low concentration range. Herein, human immunodeficiency virus type 1 (HIV-1) DNA was chosen as the specific biomarker. Raman reporter-labeled gold nanoparticles (AuNPs) were employed as SERS nano tags for targeting and detecting the HIV-1 DNA marker, as opposed to using bare AuNPs in LF strips. It was possible to quantitatively analyze HIV-1 DNA with high sensitivity by monitoring the characteristic Raman peak intensity of the DNA-conjugated AuNPs. Under optimized conditions, the detection limit of our SERS-based lateral flow assay was 0.24 pg/mL, which was at least 1000 times more sensitive compared to colorimetric or fluorescent detection methods. These results demonstrate the potential feasibility of the proposed SERS-based lateral flow assay to quantitatively detect a broad range of genetic diseases with high sensitivity. (C) 2015 Elsevier B.V. All rights reserved.

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