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Detection of SARS-CoV-2 in clinical and environmental samples using highly sensitive reduced graphene oxide (rGO)-based biosensor

生物传感器 检出限 分析物 废水 色谱法 2019年冠状病毒病(COVID-19) 石墨烯 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 化学 材料科学 纳米技术 环境科学 医学 环境工程 病理 传染病(医学专业) 疾病
作者
Dana Kadadou,Lina Tizani,Vijay S. Wadi,Fawzi Banat,Habiba Alsafar,Ahmed F. Yousef,Shadi W. Hasan
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:453: 139750-139750 被引量:52
标识
DOI:10.1016/j.cej.2022.139750
摘要

• First study to detect SARS-CoV-2 in unprocessed wastewater using a biosensor. • Biosensor can detect SARS-CoV-2 in real samples with an overall agreement >86.4% • Biosensor is more sensitive than commercial rapid test in real samples. • Response time of biosensor was measured to be around 240 ms. Quantitative RT-PCR (qRT-PCR) is the most commonly used diagnostic tool for SARS-CoV-2 detection during the COVID-19 pandemic. Despite its sensitivity and accuracy, qRT-PCR is a time-consuming method that requires expensive laboratories with highly trained personnel. In this work, on-site detection of SARS-CoV-2 in municipal wastewater was investigated for the first time. The wastewater was unprocessed and did not require any prefiltration, prior spiking with virus, or viral concentration in order to be suitable for use with the biosensor. The prototype reported here is a reduced graphene oxide (rGO)-based biosensor for rapid, sensitive and selective detection of SARS-CoV-2. The biosensor achieved a limit of detection (LOD) of 0.5 fg/mL in phosphate-buffered saline (PBS) and exhibited specificity when exposed to various analytes. The response time was measured to be around 240 ms. To further explore the capabilities of the biosensor in real clinical and municipal wastewater samples, three different tests were performed to determine the presence or absence of the virus: (i) qRT-PCR, (ii) a rapid antigen-based commercially available test (COVID-19 Test Strips), and (iii) the biosensor constructed and reported here. Taken together, our results demonstrate that a biosensor that can detect SARS-CoV-2 in clinical samples as well as unfiltered and unprocessed municipal wastewater is feasible.
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