Single-Virus Stochastic Biosensing: Proof of Concept for SARS-CoV-2 Detection in Complex Medium Using CMOS-Based Nanocapacitor Arrays

IF 3.5
Suryasnata Tripathy, Mohammad Saghafi, Sudip Kumar Dutta, Stijn van der Ham, Diogenis Salvanos, Cecilia Laborde, Byron Martina, Serge G. Lemay
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Abstract

Stochastic detection opens a promising window toward improved biosensing assays, despite the challenges posed by the unpredictable behavior of nanoscale entities as well as interference from the target medium. This study presents a novel proof of concept for label-free detection of single virus particles in complex media at physiological salt concentrations using stochastic electrochemical impedance. SARS-CoV-2 particles are successfully detected in cell culture medium using thiolated aptamers that selectively bind to the virus's spike S1 proteins, enabling the identification of individual viral particles. Stochastic biosensing, which relies on large datasets, is powered here by CMOS-based nanocapacitor arrays with 65536 individually addressable electrodes serving as electrochemical transducers. This configuration allows for high-frequency impedance measurements under physiological conditions, demonstrating the potential for scalable, real-time, label-free virus detection.

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单病毒随机生物传感:利用基于cmos的纳米电容器阵列在复杂介质中检测SARS-CoV-2的概念证明
随机检测为改进生物传感分析打开了一扇有希望的窗口,尽管纳米尺度实体的不可预测行为以及目标介质的干扰带来了挑战。本研究提出了一种新的概念,证明了在生理盐浓度下使用随机电化学阻抗在复杂介质中无标记检测单个病毒颗粒。利用选择性结合病毒刺突S1蛋白的硫代适配体,在细胞培养基中成功检测到SARS-CoV-2颗粒,从而能够识别单个病毒颗粒。随机生物传感依赖于大型数据集,由基于cmos的纳米电容器阵列提供动力,其中65536个可单独寻址的电极作为电化学换能器。该配置允许在生理条件下进行高频阻抗测量,展示了可扩展、实时、无标签病毒检测的潜力。
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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