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: 7222631
• 负责人: Kisholoy Goswami
• 金额: $ 30万
• 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/7222631
• 关键词: polymers; sectioning; urine

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)建议研究选择元件的阵列，该选择元件阵列光学地耦合到通过以并行架构配置的一组长周期光栅(LPG)光纤的光传输。目标是研究一种有可能开发出高灵敏度(10ppb或更高)和可靠(百万分之一的错误读数)的设备的技术。这将使急救人员能够在尿液、唾液或汗液等生物液体中检测化学战剂(CWA)的代谢物。LPG将覆盖有化学选择性的碳硅氧烷聚合物，这些聚合物是太平洋西北国家实验室(PNNL)为检测特定使用表面声波(SAW)平台的CWA而合理设计的。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、幅度和时间轴)。传感器响应将使用神经网络多变量算法进行后处理。已经开发了用于研究添加人工尿样的阵列的性能参数的方案。还将进行研究，以确定温度和尿液成分(如尿素、尿色素和尿酸)浓度超过尿液正常范围上限的影响。这项快速跟踪SBIR赠款申请建议研究传感器阵列，以供第一批响应人员潜在使用。这项工作的影响将是在尿液等生物液体中检测化学战剂代谢物。该传感器阵列也是监测医疗保健和环境污染物的一项使能技术。这项研究结果的传播将增加科学知识的主体，产生辅助传感器系统，并提供额外的商业/社会利益。