Organic Transistor-Based Biosensors for Viral RNA Detection and Variant Monitoring: From SARS-CoV-2 to Effective Management of Future Pandemics

IF 3.5
Stefano Lai, Roberto Cusano, Alessandra Scano, Giorgio Fotia, Annalisa Bonfiglio
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Abstract

The COVID-19 crisis has defined the need of novel approaches for a straightforward management of pandemic and epidemic conditions. Here, an approach based on electronic sensing of viral RNA is proposed for both virus detection and variant tracking. The sensing strategy of the Organic Charge-Modulated Field-Effect Transistor (OCMFET) is employed for the development of a multi-sensing platform, capable of parallel evaluation of control references and investigated samples. PCR-free detection of viral genomic RNA is demonstrated at different target concentrations, with optimal discrimination with respect to negative control. Moreover, the same approach is feasible for virus variant tracking, as a screening strategy for mutation detection in PCR-amplified samples: the approach can be used for a rationalization of RNA sequencing procedures, which are difficult to perform in the acute phases of pandemics, but are fundamental for an effective pandemic management. The results pave the way for novel strategies to enhance cost-effectiveness, easiness-of-use in combination with selectivity and sensitivity in virus detection during severe pandemic conditions, and a more effective variant tracking by optimizing the access to sequencing resources even during the acute phases of pandemic.

Abstract Image

基于晶体管的有机生物传感器用于病毒RNA检测和变异监测:从SARS-CoV-2到未来大流行的有效管理
2019冠状病毒病危机表明,需要采用新方法来直接管理大流行和流行病状况。本文提出了一种基于病毒RNA电子传感的病毒检测和变异跟踪方法。采用有机电荷调制场效应晶体管(OCMFET)的传感策略,开发了一个多传感平台,能够对控制参考文献和被测样品进行并行评估。在不同的目标浓度下,无pcr检测病毒基因组RNA,相对于阴性对照,具有最佳的区分。此外,同样的方法也适用于病毒变异跟踪,作为pcr扩增样本中突变检测的筛选策略:该方法可用于RNA测序程序的合理化,这些程序在大流行的急性阶段很难执行,但对于有效的大流行管理至关重要。这些结果为在严重大流行条件下提高成本效益、易用性以及病毒检测的选择性和敏感性的新策略铺平了道路,并通过优化在大流行急性阶段获得测序资源来更有效地跟踪变异。
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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