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

项目摘要/摘要 现有的检测SARS-CoV-2病毒的工具需要广泛的样品制备和/或昂贵的实验室- 基于设备以获得准确的结果。该方案的目标是构建一个触摸屏传感器阵列 直接捕获、检测和识别模型SARS-CoV-2病毒颗粒，并将错误警报降至最低。这个ambi- 由GE Research科学家和工程师组成的跨学科团队将实现TYY目标，并将成为 建议的创新与先前的科学和工程成就的协同结合 团队中的一员。 我们建议的解决方案基于几项创新，通过消除对专用SAM的需求- 抽样步骤，解决病毒颗粒的检测和可靠的选择性识别问题，执行 生物传感器的二维(2D)格式的检测/识别操作，例如，作为触摸屏表面， 拥有这一技术解决方案，作为一种低调、低功耗、不引人注目的设备，可以适应不同的 应用场景。 提出的原理证明触摸屏探测器的创新之处主要有三个方面。对于病毒 识别，我们将创造新的多功能生物感受器。我们的传输原则将基于我们的 早期报道的转导与显著增强的性能。我们的触摸面设计将有一个 生物传感器的二维阵列。 拟议的原则证明传感器将在五个目标下开发。目标1将专注于演示 新型多功能生物感受器。目标2将专注于验证这些多功能的功能 生物感受器固定在传感器表面。目标3将重点演示MOD的传感。 EL病毒粒子在二维生物传感器阵列中的布局。目标4将重点演示病毒识别 在不同的环境条件下具有固定化的多功能生物受体。目标5将专注于演示- 在相同布局的2D生物传感器阵列中增强对模型病毒颗粒的检测和识别 与目标3相同，但在可变的环境条件下。这项拟议工作中的发现将改变- 最先进的生物传感范例，并将改进科学知识、技术和工作流程实践 病毒检测。

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.