A label-free graphene-based impedimetric biosensor for real-time tracing of the cytokine storm in blood serum; suitable for screening COVID-19 patients

一种基于石墨烯的无标记阻抗生物传感器,用于实时追踪血清中的细胞因子风暴;适用于筛查 COVID-19 患者

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作者:Mohammad Ali Khayamian, Mohammad Salemizadeh Parizi, Mohammadreza Ghaderinia, Hamed Abadijoo, Shohreh Vanaei, Hossein Simaee, Saeed Abdolhosseini, Shahriar Shalileh, Mahsa Faramarzpour, Vahid Fadaei Naeini, Parisa Hoseinpour, Fatemeh Shojaeian, Fereshteh Abbasvandi, Mohammad Abdolahad1

Abstract

Concurrent with the pandemic announcement of SARS-CoV-2 infection by the WHO, a variety of reports were published confirming the cytokine storm as the most mortal effect of the virus on the infected patients. Hence, cytokine storm as an evidenced consequence in most of the COVID-19 patients could offer a promising opportunity to use blood as a disease progression marker. Here, we have developed a rapid electrochemical impedance spectroscopy (EIS) sensor for quantifying the overall immune activity of the patients. Since during the cytokine storm many types of cytokines are elevated in the blood, there is no need for specific detection of a single type of cytokine and the collective behavior is just measured without any electrode functionalization. The sensor includes a monolayer graphene on a copper substrate as the working electrode (WE) which is able to distinguish between the early and severe stage of the infected patients. The charge transfer resistance (R CT) in the moderate and severe cases varies about 65% and 138% compared to the normal groups, respectively and a specificity of 77% and sensitivity of 100% based on ELISA results were achieved. The outcomes demonstrate a significant correlation between the total mass of the three main hypercytokinemia associated cytokines including IL-6, TNF-α and IFN-γ in patients and the R CT values. As an extra application, the biosensor's capability for diagnosis of COVID-19 patients was tested and a sensitivity of 92% and specificity of 50% were obtained compared to the RT-PCR results.

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