I-Corps: Portable System for Pathogenic Bacteria Characterization

I-Corps：用于病原菌表征的便携式系统

• 批准号: 2332586
• 负责人: Ramana Pidaparti
• 金额: $ 5万
• 依托单位: University of Georgia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2332586&HistoricalAwards=false
• 关键词: Corps; Portable; System; Pathogenic; Bacteria

The broader impact/commercial potential of this I-Corps project is the development of a portable diagnostic system to identify pathogenic bacteria. Currently, most diagnostic detection methods include growing cultures in vitro coupled with antigen-based or polymerase chain reaction (PCR)-based detection assays. However, these methods are often slow and ineffective, especially for respiratory bacterial infections. The proposed technology is based on based on optical scatter data combined with machine learning models and optimization. It is a portable, automated approach that is designed to achieve rapid detection of respiratory pathogens/bacteria with reduced classification times. The proposed technology may have a broad impact on the health care industry and patient outcomes, particularly respiratory infections in children and the elderly. In addition, this technology has the potential to accelerate advances in clinical diagnosis of pathogenic bacteria.This I-Corps project is based on the development of a portable diagnostic system for pathogenic bacteria detection and identification. The proposed technology combines optical scatter data with machine learning models and optimization to enable the evaluation and characterization of bacteria patterns and signatures. The system is designed using light scattering of particles in the pathogenic bacteria with the goal of providing a rapid, real-time, portable system for detection and characterization of pathogenic bacteria. Preliminary results with four different bacteria showed that optical signatures were obtained and that different bacteria can be distinguished. The proposed system may be valuable to clinicians and researchers for rapidly detecting the patterns of specific bacterial infections.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.

该I-Corps项目的更广泛的影响/商业潜力是开发便携式诊断系统以识别致病性细菌。目前，大多数诊断检测方法包括体外生长的培养物，以及基于抗原或基于聚合酶链反应（PCR）的检测测定法。 但是，这些方法通常很缓慢且无效，尤其是对于呼吸细菌感染。 所提出的技术基于基于光散射数据与机器学习模型和优化相结合。它是一种便携式，自动化的方法，旨在以减少分类时间来快速检测呼吸道病原体/细菌。提出的技术可能会对医疗保健行业和患者结局产生广泛的影响，尤其是儿童和老年人的呼吸道感染。 此外，该技术有可能加速致病细菌的临床诊断进展。该I-Corps项目基于开发用于致病细菌检测和鉴定的便携式诊断系统。提出的技术将光学散射数据与机器学习模型结合在一起，并优化，以评估和表征细菌模式和特征。 该系统是使用致病细菌中颗粒的光散射设计的，目的是提供快速，实时的便携式系统，用于检测和表征致病性细菌。 四种不同细菌的初步结果表明，获得了光学特征，可以区分不同的细菌。 拟议的系统对于临床医生和研究人员可能很有价值，可以快速检测特定细菌感染的模式。该奖项反映了NSF的法定任务，并认为使用基金会的知识分子和更广泛的影响评估标准，认为值得通过评估来获得支持。