PFI-TT: Development of A Rapid and Reliable Point-of-Care Screening for Infectious Diseases (COVID-19)

创新伙伴关系-技术转化（PFI-TT）项目的更广泛影响/商业潜力是改善防治COVID-19等大流行/流行病的公共卫生成果。目前迫切需要一种快速、具有成本效益、方便和可靠的检测方法，用于大规模筛查，以控制和预防新出现的大流行病的传播。该项目将展示一种快速检测病毒的大规模筛查方法，可用于识别早期感染个体进行隔离。提议的产品可以在许多环境中使用，如考试中心、诊所、学校健康诊所和机场控制。该项目还将：为来自不同背景和代表性不足群体的学生以及当地K-12教师和学生提供研究和实习机会；参与学员创业培训；发展新的产学研合作关系。这项工作将实现快速、可靠的护理点检测，并具有经济、简单和快速的优点，这将减少用户的入职时间和成本。拟议的项目将解决当前在分子传感和诊断中快速、负担得起、方便和可靠的检测的挑战。该项目将通过在纳米尺度上将分子计算与特定目标识别和信号放大相结合，开发一种新的工程智能分子器件机制。具体目标包括开发一种快速检测病毒RNA的溶液分析方法，以及一种用户友好的系统，用于与横向流动设备集成。拟议的研究将采用多学科方法，结合计算设计，分子组装和电路，以及生化分析。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is to improve public health outcomes in combating pandemic/epidemic diseases, such as COVID-19. An urgent need exists for a rapid, cost-effective, facile and reliable assays for mass screening to control and prevent the spread of emerging pandemic diseases. The proposed project will demonstrate a mass screening method to rapidly detect viruses, which can be used to identify early infected individuals for quarantine. The proposed product can be potentially used in many settings such as test centers, clinics, school health clinics and airport controls. The project will also: offer research and internship opportunities for students from diverse backgrounds and underrepresented groups, as well as local K-12 teachers and students; entrepreneurship training for participating students; and develop new industrial-academic partnerships. This work will enable rapid and reliable point-of-care detection with benefits of affordability, simplicity and rapidity, which will reduce user onboarding time and costs.The proposed project will address the current challenge of a rapid, affordable, facile and reliable detection in molecular sensing and diagnosis. The proposed project will develop a novel mechanism of engineering smart molecular devices by integrating molecular computation with specific target recognition and signal amplification on the nanoscale. The specific goals include the development of a solution assay to rapidly detect viral RNA, and a user-friendly system for integration with a lateral-flow device. The proposed research will employ a multidisciplinary approach that combines computational design, molecular assembly and circuits, and biochemical assays.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.