FIBER GRATING-BASED CHEMOSELECTIVE AND REVERSIBLE SENSOR ARRAY

基于光纤光栅的化学选择性和可逆传感器阵列

• 批准号: 7294883
• 负责人: Kisholoy Goswami
• 金额: $ 67.5万
• 依托单位: INNOSENSE, LLC
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-30 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7294883
• 关键词: Acoustics; Algorithms; Applications Grants; Architecture; Biological; Biological Neural Networks; Chemical Warfare Agents; Coupled; Data Set; Detection; Devices; Elements; Environmental Pollutants; Fiber; Goals; Healthcare; Knowledge; Laboratories; Light; Liquid substance; Monitor; Normal Range; Pacific Northwest; Performance; Polymers; Process; Protocols documentation; Reading; Saliva; Sampling; Small Business Funding Mechanisms; Small Business Innovation Research Grant; Surface; Sweat; Sweating; System; Techniques; Technology; Temperature; Time; Upper Limit of Normal; Urea; Uric Acid; Urine; Work; base; design; emergency service responder; response; sensor

DESCRIPTION (provided by applicant): InnoSense LLC (ISL) proposes to investigate an array of selective elements that are optically coupled to light propagation through a set of long period grating (LPG) fibers configured in a parallel architecture. The goal is to study a technique that has the potential for developing a highly sensitive (10 ppb or better) and reliable (one false reading in a million) device. This will allow the first responders to detect metabolites of chemical warfare agents (CWAs) in biological fluids such as urine, saliva or sweat. The LPGs will be coated with chemoselective carbosiloxane polymers that have been designed rationally at the Pacific Northwest National Laboratory (PNNL) for detecting CWAs specifically using a surface acoustic wave (SAW) platform. This cross-platform utilization of the chemoselective coatings will allow ISL to utilize wavelet transformations to process 3D dataset (wavelength, amplitude and time axes). The sensor response will be post-processed using neural network multivariate algorithm. Protocols have been developed to study performance parameters of the array in spiked artificial urine samples. Studies will also be made to determine the impact of temperature, and urine components (e.g., urea, urochrome and uric acid) at concentrations exceeding upper limit of the normal range in urine. This Fast-Track SBIR Grant Application proposes to study a sensor array for potential use by the first responders. The impact of this work will be detection of chemical warfare agent metabolites in biological fluids such as urine. This sensor array is also an enabling technology for monitoring health care and environmental pollutants. Dissemination of the finding from this study will add to the body of scientific knowledge, spawn subsidiary sensor systems and provide additional commercial/societal benefits.

描述（由申请人提供）：InnoSense LLC（ISL）提出研究选择性元件的阵列，所述选择性元件光学耦合到通过以并行架构配置的一组长周期光栅（LPG）光纤的光传播。我们的目标是研究一种有潜力开发出高灵敏度（10 ppb或更好）和可靠（百万分之一的错误阅读）设备的技术。这将使第一反应者能够检测尿液、唾液或汗液等生物液体中的化学战剂代谢物。LPG将涂有化学选择性碳硅氧烷聚合物，这些聚合物在太平洋西北国家实验室（PNNL）进行了合理设计，用于专门使用表面声波（SAW）平台检测CWAs。这种化学选择性涂层的跨平台利用将允许ISL利用小波变换来处理3D数据集（波长、振幅和时间轴）。传感器响应将使用神经网络多变量算法进行后处理。已经开发了方案来研究加标人工尿液样本中阵列的性能参数。还将进行研究以确定温度和尿液成分（例如，尿素、尿色素和尿酸）的浓度超过尿液中正常范围的上限。这个快速通道SBIR赠款申请建议研究传感器阵列的第一响应者的潜在用途。这项工作的影响将是检测尿液等生物液体中的化学战剂代谢物。这种传感器阵列也是一种用于监测医疗保健和环境污染物的技术。传播这项研究的发现将增加科学知识，产生辅助传感器系统，并提供额外的商业/社会效益。