Minimal False-alarm Touch-based Detection of SARS-Cov-2 Virus Particles using Poly-aptamers

使用多适体对 SARS-Cov-2 病毒颗粒进行最小误报触摸检测

• 批准号: 10320981
• 负责人: Radislav A Potyrailo
• 金额: $ 59.99万
• 依托单位: GENERAL ELECTRIC GLOBAL RESEARCH CTR
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-12-21 至 2023-05-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10320981
• 关键词: 2019-nCoV; Address; Affinity; Area; Binding; Biosensing Techniques; Biosensor; Buffers; COVID-19 detection; Characteristics; Coupled; Detection; Development; Devices; Electrodes; Electronics; Engineering; Equipment; Event; Felis catus; Frequencies; Goals; Humidity; Immobilization; Individual; Knowledge; Length; Libraries; Link; Liquid substance; Methodology; Methods; Modeling; Monitor; Noise; Nucleic Acids; Performance; Preparation; Problem Solving; Proteins; Reporting; Research; SARS-CoV-2 spike protein; Sampling; Scientist; Signal Transduction; Speed; Surface; Techniques; Technology; Temperature; Testing; Time; Touch sensation; Validation; Virion; Virus; Work; aptamer; base; denoising; design; detector; digital; electric impedance; electronic sensor; experimental study; improved; innovation; nanoscale; operation; particle; response; sensor; signal processing; tool; touchscreen; two-dimensional; viral detection

PROJECT SUMMARY/ABSTRACT Available tools for detection of SARS-CoV-2 virus require extensive sample preparation and/or expensive lab- based equipment to obtain accurate results. The objective in this proposal is to build a touch-screen sensor array to directly capture, detect, and identify model SARS-CoV-2 virus particles with minimal false alarms. This ambi- tious goal will be achieved by the interdisciplinary team of GE Research scientists and engineers and will be a synergistic combination of the proposed innovations and the prior scientific and engineering accomplishments of the team. Our proposed solution is based on several innovations driven by eliminating a need for a dedicated sam- pling step and solving the problems of detection and reliable selective recognition of virus particles, performing detection/recognition operation in a two-dimensional (2D) format of biosensors, e.g., as a touch-screen surface, and having this technical solution as a low-profile, low power, unobtrusive device that can be adapted to diverse application scenarios. Innovations of the proposed proof-of-principle touch-screen detector are in three main areas. For virus recognition, we will create new multifunctional bioreceptors. Our transduction principle will be based on our earlier reported transduction with the significantly enhanced performance. Our touch surface design will have a 2D array of biosensors. The proposed proof-of-principle sensor will be developed in five aims. Aim 1 will focus on demonstration of new multifunctional bioreceptors. Aim 2 will focus on validation of the functionality of these multifunctional bioreceptors upon their immobilization on sensor surface. Aim 3 will focus on demonstration of sensing of mod- el virus particles in a layout of 2D array of biosensors. Aim 4 will focus on demonstration of virus recognition with immobilized multifunctional bioreceptors in variable ambient conditions. Aim 5 will focus on demonstra- tion of enhanced detection and recognition of model virus particles in the same layout of 2D array of biosensors as in Aim 3, but under variable ambient conditions. The findings in this proposed work will change the state-of- the-art biosensing paradigm and will improve the scientific knowledge, technologies, and workflow practice for virus detection.

项目摘要/摘要 可检测SARS-COV-2病毒的可用工具需要大量的样品准备和/或昂贵的实验室 基于设备以获得准确的结果。该提案的目的是构建一个触摸屏传感器阵列 直接捕获，检测和识别具有最小错误警报的模型SARS-COV-2病毒颗粒。这个 GE研究科学家和工程师的跨学科团队将实现目标的目标，并将成为 拟议的创新以及先前的科学和工程成就的协同组合 团队。 我们提出的解决方案是基于消除对专用SAM的需求而驱动的几项创新 固定步骤并解决对病毒颗粒的检测和可靠的选择性识别的问题，执行 以二维（2D）格式的生物传感器的检测/识别操作，例如作为触摸屏表面， 并以这种技术解决方案为低调，低功率，不引人注目的设备，可以适应多样化 应用程序方案。 拟议原则触摸屏检测器的创新在三个主要领域。用于病毒 认可，我们将创建新的多功能生物感受器。我们的转导原则将基于我们 早些时候报道了具有显着增强性能的转导。我们的触摸表面设计将有一个 生物传感器的2D阵列。 拟议的原理传感器将以五个目标开发。 AIM 1将专注于演示 新的多功能生物受体。 AIM 2将集中于验证这些多功能的功能 生物受体固定在传感器表面上。 AIM 3将集中于表达Mod-的传感 El病毒颗粒在2D生物传感器的布局中。 AIM 4将重点放在病毒识别的演示上 在可变环境条件下固定的多功能生物体受体。 AIM 5将专注于演示 - 在2D生物传感器的相同布局中，增强的检测和识别模型病毒颗粒的识别 如在AIM 3中，但在可变的环境条件下。这项拟议工作的发现将改变 艺术生物传感范式，并将改善科学知识，技术和工作流实践 病毒检测。