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新型基于石墨烯的生物传感器,用于 Zika 病毒感染的早期检测。

Novel graphene-based biosensor for early detection of Zika virus infection.

机构信息

Nanomedical Diagnostics Inc., 6185 Cornerstone Court East Suite #110, San Diego, CA 92121, USA.

Reagent and Diagnostic Services Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA.

出版信息

Biosens Bioelectron. 2018 Feb 15;100:85-88. doi: 10.1016/j.bios.2017.08.051. Epub 2017 Aug 24.

Abstract

We have developed a cost-effective and portable graphene-enabled biosensor to detect Zika virus with a highly specific immobilized monoclonal antibody. Field Effect Biosensing (FEB) with monoclonal antibodies covalently linked to graphene enables real-time, quantitative detection of native Zika viral (ZIKV) antigens. The percent change in capacitance in response to doses of antigen (ZIKV NS1) coincides with levels of clinical significance with detection of antigen in buffer at concentrations as low as 450pM. Potential diagnostic applications were demonstrated by measuring Zika antigen in a simulated human serum. Selectivity was validated using Japanese Encephalitis NS1, a homologous and potentially cross-reactive viral antigen. Further, the graphene platform can simultaneously provide the advanced quantitative data of nonclinical biophysical kinetics tools, making it adaptable to both clinical research and possible diagnostic applications. The speed, sensitivity, and selectivity of this first-of-its-kind graphene-enabled Zika biosensor make it an ideal candidate for development as a medical diagnostic test.

摘要

我们开发了一种经济高效且便携的基于石墨烯的生物传感器,该传感器采用高度特异性的固定化单克隆抗体来检测寨卡病毒。与石墨烯共价连接的单克隆抗体的场效应生物传感(FEB)可实现对天然寨卡病毒(ZIKV)抗原的实时定量检测。电容的百分比变化对抗原(ZIKV NS1)剂量的响应与临床意义水平一致,在缓冲液中检测到的抗原浓度低至 450pM。通过在模拟人血清中测量寨卡抗原,证明了该传感器具有潜在的诊断应用。使用日本脑炎 NS1 验证了选择性,日本脑炎 NS1 是一种同源且可能发生交叉反应的病毒抗原。此外,石墨烯平台还可以同时提供非临床生物物理动力学工具的先进定量数据,使其适应临床研究和可能的诊断应用。这种首创的基于石墨烯的寨卡生物传感器具有速度快、灵敏度高和选择性强的特点,使其成为开发医疗诊断测试的理想候选者。

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