PFI-RP: BioSPACE: Biosensing Surveillance of Pathogens in Aquaculture and Coastal Environments

PFI-RP：BioSPACE：水产养殖和沿海环境中病原体的生物传感监测

• 批准号: 2329826
• 负责人: Yan Luo
• 金额: $ 100万
• 依托单位: University of Massachusetts Lowell
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2329826&HistoricalAwards=false
• 关键词: PFI; RP; BioSPACE; Biosensing; Surveillance

The broader impact/commercial potential of this Partnerships for Innovation – Research Partnerships (PFI-RP) project is to enhance public safety and the economic resilience of our aquaculture industry in the face of ongoing exposures to disease-causing pathogens. Waterborne pathogens cost billions in annual healthcare costs and aquaculture losses in the United States and globally. This project will accelerate the development and application of an easy-to-use and low-cost technological platform offering excellent portability, sensitivity, and speed to detect pathogens from water sources. The anticipated societal and commercial benefits include early warning signals to local and state agencies about the presence of pathogens in coastal waters, preventing human contact and disease spread, an accessible technology that can minimize the economic impacts of pathogens on aquaculture, low-cost and continuous pathogen surveillance for public safety and ecosystem health, and interdisciplinary learning opportunities for students from underrepresented communities in STEM to enrich their entrepreneurship experience and leadership in a business development setting.The proposed project advances the application of a novel biosensing-based data analytics platform for aquaculture and water-based environmental monitoring. Regular monitoring for pathogens is critical in safeguarding public and ecosystem health, and in supporting aquaculture sustainability and market growth. However, there is a strong need for low-cost yet sensitive surveillance systems for farmers and environmental agencies for source-tracking and rapid detection of disease-causing pathogens before outbreaks occur. The project will adapt the patented biosensing technology for real-time detection and quantification of aquatic pathogens and forecasting of outbreak risks. The objectives of the research are to evaluate the sensitivity, specificity, and stability of the biosensor when deployed in various environmental settings. This will involve field tests to optimize the performance of the biosensor, and the integration of machine learning methods for interpreting sensor data to maintain accuracy in challenging aquatic environments. These developments will substantially improve our ability to monitor waterborne pathogens in coastal environments and in the aquaculture industry.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.

这种伙伴关系对创新的更广泛的影响/商业潜力 - 研究伙伴关系（PFI-RP）项目是在面对持续暴露于引起疾病的病原体的情况下，增强我们的水产养殖业的公共安全和经济弹性。在美国和全球，水生病原体的年度医疗保健成本和水产养殖损失数十亿。该项目将加快易于使用和低成本技术平台的开发和应用，提供出色的可移植性，灵敏度和速度，以检测水源的病原体。 The anticipated social and commercial benefits include early warning signals to local and state agencies about the presence of pathogens in coastal waters, preventing human contact and disease spread, an accessible technology that can minimize the economic impacts of pathogens on aquaculture, low-cost and continuous pathogen surveillance for public safety and ecosystem health, and interdisciplinary learning opportunities for students from underrepresented communities in STEM to enrich their entrepreneurship experience并在业务开发环境中的领导力。拟议的项目推动了用于水产养殖和水基环境监测的新型基于生物传感的数据分析平台的应用。定期监测病原体对于维护公共和生态系统健康以及支持水产养殖可持续性和市场增长至关重要。但是，对于农民和环境机构的低成本但敏感的监视系统迫切需要在发生爆发之前对源追踪和快速检测引起疾病的病原体。该项目将适应获得专利的生物传感技术，以实时检测和量化水生病原体和爆发风险的预测。研究的目标是评估在各种环境环境中部署生物传感器的敏感性，特异性和稳定性。这将涉及现场测试以优化生物传感器的性能，以及用于解释传感器数据以保持挑战水生环境中准确性的机器学习方法的集成。这些事态发展将大大提高我们在沿海环境和水产养殖行业监测水传播病原体的能力。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估审查标准，被认为是珍贵的支持。