Department of Bionano Technology, Hanyang University, Ansan 426-791, South Korea.
Department of Chemistry, Indiana University, Bloomington, IN 47405-102, USA.
Biosens Bioelectron. 2016 Apr 15;78:530-537. doi: 10.1016/j.bios.2015.11.099. Epub 2015 Dec 2.
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.
用户友好型横向流动 (LF) 条带已被广泛用于即时护理 (POC) 自我诊断,但由于它们仅通过利用肉眼可检测的颜色变化来识别生物标志物的高截止值,因此在检测灵敏度和定量分析方面存在一些限制。为了解决 LF 条带存在的这些问题,我们开发了一种新型基于表面增强拉曼散射 (SERS) 的 LF 测定法,用于定量分析特定生物标志物在低浓度范围内的浓度。在此,选择人类免疫缺陷病毒 1 (HIV-1) DNA 作为特定的生物标志物。拉曼报告标记的金纳米粒子 (AuNP) 被用作 SERS 纳米标签,用于靶向和检测 HIV-1 DNA 标记物,而不是在 LF 条带中使用裸 AuNP。通过监测与 DNA 偶联的 AuNP 的特征拉曼峰强度,可以实现对 HIV-1 DNA 的高灵敏度定量分析。在优化条件下,我们的基于 SERS 的横向流动测定法的检测限为 0.24 pg/mL,与比色或荧光检测方法相比至少灵敏 1000 倍。这些结果表明,所提出的基于 SERS 的横向流动测定法具有定量检测多种遗传疾病的高灵敏度的潜在可行性。