NSF Convergence Accelerator Track L: Smartphone Time-Resolved Luminescence Imaging and Detection (STRIDE) for Point-of-Care Diagnostics

NSF 融合加速器轨道 L：用于即时诊断的智能手机时间分辨发光成像和检测 (STRIDE)

• 批准号: 2344476
• 负责人: Xiaoshan Zhu
• 金额: $ 65万
• 依托单位: Board of Regents, NSHE, obo University of Nevada, Reno
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2344476&HistoricalAwards=false
• 关键词: NSF; Convergence; Accelerator; Track; Smartphone

Point-of-care (POC) sensors are powerful in-field tools to quickly diagnose infectious disease early enough to prevent rapid spread, detect foodborne pathogens in food-chains in real-time to ensure food quality and reduce food waste, distinguish trace biomarkers in cellular/tissue levels to alter physicians for early treatment, etc. With the applications of artificial intelligence (AI) and mobile devices (e.g., smartphones) in POC sensor development, mobile-device-assisted POC sensors with advanced AI are rapidly emerging as an attractive approach to developing POC sensors with improved analytical performance. To overcome challenges encountered by currently available POC sensors, the proposing team recently developed manganese-doped semiconductor nanocrystals can enable time-resolved luminescence measurement that achieves high sensitivity, a highly desirable sensor property. The goal of this project is to establish a POC platform technology using Smartphone Time-Resolved Luminescence Imaging and Detection (STRIDE) enabled by these nanocrystals and AI, demonstrate its versatile applicability in various bio-detections, and further translate this technology to develop energy-efficient, miniaturized, and portable biochemical sensing applications. The project will generate multiple key intellectual properties as well as a diverse, well-trained, and globally competent workforce in POC technology. Both intellectual properties and workforce will facilitate economic growth, create new employment opportunities, and contribute to US leadership in POC diagnostic technologies.The goal of the proposed work is to establish a marketable POC platform technology using Smartphone Time-Resolved Luminescence Imaging and Detection (STRIDE) enabled by Mn-doped nanocrystals (NCs) and AI. Through the collaboration with academia, a national lab, private sectors, and business centers, the project team seeks to (1) further understand the photophysics of Mn-doped NCs and enhance their optical properties; (2) build a portable, smartphone-based, and AI-assisted time-resolved luminescence measurement (TRLM) instrument with low cost and high sensitivity; (3) establish a POC platform technology that integrates the new smartphone-based and AI-assisted TRLM instrument with Mn-doped NCs specifically for infectious pathogen detection, food quality analysis, and cancer diagnosis; (4) develop an integrated education and workforce development plan; and (5) initiate broad connections with academia/industries to advance the team’s novel technology for scientific collaboration and commercialization. The project will improve health equity by revolutionizing POC care with highly portable, easy to use, low cost diagnostic tools that provide rapid results, improve access, and promote early detection of infectious diseases, foodborne pathogens, and cancer biomarkers. The workforce trained through this project will contribute to a diverse, globally competent workforce in cutting-edge technologies, and the educational outreach of this project will promote diversity, equity, and inclusion in STEM education.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.

护理点 (POC) 传感器是强大的现场工具，可及早快速诊断传染病以防止快速传播、实时检测食物链中的食源性病原体以确保食品质量并减少食物浪费、区分微量生物标记物随着人工智能（AI）和移动设备（例如智能手机）在 POC 传感器开发中的应用，具有先进 AI 的移动设备辅助 POC 传感器正在迅速兴起，一种有吸引力的方法开发具有改进分析性能的 POC 传感器 为了克服现有 POC 传感器遇到的挑战，提议团队最近开发了掺锰半导体纳米晶体，可以实现时间分辨发光测量，从而实现高灵敏度，这是一个非常理想的传感器特性。该项目的目的是利用这些纳米晶体和人工智能支持的智能手机时间分辨发光成像和检测（STRIDE）建立POC平台技术，展示其在各种领域的通用性该项目将在 POC 技术领域产生多项关键知识产权以及多样化、训练有素且具有全球竞争力的劳动力。知识产权和劳动力将促进经济增长，创造新的就业机会，并有助于美国在 POC 诊断技术方面的领导地位。拟议工作的目标是利用智能手机时间分辨发光成像和检测 (STRIDE) 建立适销对路的 POC 平台技术通过与学术界、国家实验室、私营部门和商业中心的合作，该项目团队力求 (1) 进一步了解锰掺杂纳米晶体 (NC) 的光物理学并增强其光学性能。 （2）构建低成本、高灵敏度的便携式、基于智能手机的人工智能辅助时间分辨发光测量（TRLM）仪器（3）建立集成新的POC平台技术；基于智能手机和人工智能辅助的 TRLM 仪器，专门用于传染性病原体检测、食品质量分析和癌症诊断；(4) 制定综合教育和劳动力发展计划；(5) 与学术界建立广泛的联系该项目将通过高度便携、易于使用、低成本的诊断工具彻底改变 POC 护理，从而提高健康公平性，这些工具可提供快速结果、改善可及性并促进传染病的早期发现。 , 食源性通过该项目培训的劳动力将有助于培养一支多元化、具有全球能力的尖端技术劳动力，该项目的教育范围将促进 STEM 教育的多样性、公平性和包容性。该奖项是 NSF 的法定奖项。使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。