Ultrasensitive, Real-Time Detection of Viral Antigens and RNA Enabled by Scalable Graphene-Based FET Sensors for Pathogen Detection: A Case Study on COVID-19

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Yu Luo*, Bicheng Zhu*, Congcong Zhu, Penghui Lai, John Taylor, Claire Honney, Ashley Nutsford, Chaofeng Ma, Hailong Chen, Kean C. Aw, Rui Wu, Erasmus Smit, Peikai Zhang and Jadranka Travas-Sejdic*, 
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Abstract

Herein, a novel and simple electrospray (ES) printing technique was developed for the fabrication of ultrathin graphene layers with precisely controlled nanometer-scale thickness, where graphene oxide (GO) was electrosprayed on wafers and subsequently chemically reduced into reduced GO (rGO). Utilizing that technique, we prepared ultrathin rGO in-plane graphene field-effect transistor (GFET)-based biosensors coupled with a portable prototype measuring system for point-of-care detection of pathogens. We illustrate the use of such prepared GFETs to detect COVID-19, using the SARS-CoV-2 nucleocapsid protein antigen (N-protein) and genomic viral RNA as detection targets. The electrosprayed and chemically reduced rGO films enhance the molecular detection in GFET sensors through significant local gating effects. The device detects the N-protein from the SARS-CoV-2 Omicron variant in a culture medium with an LOD of 1.44 PFU/mL and in clinical oropharyngeal samples with an LOD of 45 genome copies/mL in 5 min. It also successfully detects viral RNA in oropharyngeal swabs within 10 min. The GFET sensor responses were further analyzed using our proprietary wireless, miniaturized, and portable FET analyzer, coupled with a smartphone detecting app. Altogether, we present low-cost and mass-producible GFETs with high-quality graphene channels, enabling a portable, efficient, and accurate solution for point-of-care pathogen detection and in clinical testing. This technology has the potential to become a crucial tool in preventing future global epidemic outbreaks.

Abstract Image

基于石墨烯的FET传感器用于病原体检测的超灵敏、实时检测病毒抗原和RNA:以COVID-19为例
本文开发了一种新颖而简单的电喷涂(ES)打印技术,用于制造具有精确控制纳米级厚度的超薄石墨烯层,其中氧化石墨烯(GO)被电喷涂在晶圆上,随后化学还原为还原氧化石墨烯(rGO)。利用该技术,我们制备了超薄氧化石墨烯平面内石墨烯场效应晶体管(GFET)生物传感器,并与便携式原型测量系统相结合,用于即时检测病原体。我们以SARS-CoV-2核衣壳蛋白抗原(n蛋白)和基因组病毒RNA为检测靶点,说明了使用这种制备的gfet检测COVID-19。电喷涂和化学还原氧化石墨烯薄膜通过显著的局部门控效应增强了GFET传感器中的分子检测。该设备在LOD为1.44 PFU/mL的培养基和LOD为45个基因组拷贝/mL的临床口咽样本中检测SARS-CoV-2 Omicron变体的n蛋白,检测时间为5分钟。该设备还在10分钟内成功检测口咽拭子中的病毒RNA。使用我们专有的无线、小型化和便携式FET分析仪,结合智能手机检测应用程序,进一步分析了GFET传感器的响应。我们提出了具有高质量石墨烯通道的低成本和可批量生产的gfet,为即时病原体检测和临床测试提供了便携、高效和准确的解决方案。这项技术有可能成为预防未来全球流行病爆发的关键工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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