Self-Referenced SPR Sensing using Multiple Surface-Plasmon Modes

使用多种表面等离子体激元模式的自参考 SPR 传感

• 批准号: 0601351
• 负责人: Jeffrey Hastings
• 金额: --
• 依托单位: University of Kentucky Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-01 至 2010-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0601351&HistoricalAwards=false
• 关键词: Self; Referenced; SPR; Sensing; using

Jeffrey T. HastingsUniversity of Kentucky0601351AbstractIntellectual Merit: Surface-plasmon resonance has become a widely used, label free technique to detect and study biological and chemical interactions. Nevertheless, a fundamental challenge remains unresolved: How does one differentiate between non-specific effects (temperature fluctuations, solution refractive index changes, non-specific binding of interferents, etc.) and detection of a target analyte? This problem currently limits the effectiveness of surface-plasmon resonance in complex biological samples and for medical, environmental, food safety, and defense applications that require field deployable sensors. This research effort addresses this challenge by developing a self-referencing sensor platform based on simultaneous coupling to multiple surface-plasmon modes. For the first time, the electromagnetic field distributions and dispersion relations of surface-plasmon waves supported by microstructures will be engineered to distinguish multiple biological and chemical processes. Combining this self-referencing approach with oriented immobilization of antibodies on the sensor surface will provide a system that selectively detects the presence of pathogenic bacteria such as Escherichia coli and Bacillus anthracis in complex solutions. Broader Impacts: The new sensor platform will better serve society's needs in drug discovery, medical diagnosis, food quality assurance, and bio-chemical defense. From an educational perspective, the project provides graduate training in an inherently interdisciplinary field while strengthening multi-disciplinary partnerships in the University of Kentucky's Center for Nanoscale Science and Engineering. The project also serves as a demonstration platform for a diversity outreach effort targeting high-school students from Kentucky's Appalachian regions and for a new Micro- and Nano-Photonics undergraduate course offered in connection with the University of Kentucky's undergraduate Nanoscale Engineering Certificate Program (NECP).

摘要知识优势：表面等离子体共振已成为一种广泛应用的、无标记的技术，用于检测和研究生物和化学相互作用。然而，一个基本的挑战仍然没有解决：如何区分非特异性效应（温度波动、溶液折射率变化、非特异性干涉结合等）和目标分析物的检测？这个问题目前限制了表面等离子体共振在复杂生物样品中的有效性，以及需要现场部署传感器的医疗、环境、食品安全和国防应用。本研究通过开发一种基于同时耦合多个表面等离子体模式的自参考传感器平台来解决这一挑战。第一次，由微结构支撑的表面等离子体波的电磁场分布和色散关系将被设计用于区分多种生物和化学过程。将这种自我参考方法与传感器表面定向固定抗体相结合，将提供一个系统，可以选择性地检测复杂溶液中致病菌（如大肠杆菌和炭疽杆菌）的存在。更广泛的影响：新的传感器平台将更好地服务于药物发现、医疗诊断、食品质量保证和生化防御等方面的社会需求。从教育的角度来看，该项目提供跨学科领域的研究生培训，同时加强肯塔基大学纳米科学与工程中心的多学科合作关系。该项目还作为一个示范平台，为肯塔基州阿巴拉契亚地区的高中生提供多元化的推广服务，并为肯塔基大学纳米工程本科证书课程（NECP）提供新的微纳米光子学本科课程。