Acoustic Wave Sensors for In-situ Detection and Characterization of Organic Contaminants in Aqueous Solution

9876366Josse概述。为了检测污染的地面和废水中对人类和环境健康造成危害的有机化合物，本研究项目将研究和设计一种快速、可靠、高灵敏度的传感器装置，用于液体环境中的可重复测量。有机污染物，特别是挥发性有机化合物(VOCs)，对人类和环境健康构成重大危害。更准确地说，地下水和混合废水样本通常含有三氯乙烯、卤代酚、氯乙烯、苯、甲苯和二甲苯等VOCs。目前，必须收集样本并将其运往实验室进行分析。因此，分析不仅被推迟，更重要的是，由于样品的降解和蒸发，延迟导致科学数据受损。因此，需要一种快速和灵敏的方法来重复检测地面和废水污染物，并且易于测试。这一多学科研究计划的目标是调查、表征和设计聚合物涂层化学传感器，用于直接、快速、现场监测水中的有机化合物和其他有害成分。为了实现这一目标，将实现三个具体目标。1.研究和设计一种可靠、高灵敏度的传感器平台，利用剪切水平声表面波(SH-SAW)装置在液体环境中重复使用传感器。2.对单个传感器进行表征，并将聚合物涂层-分析物对分类为模式3。利用涂层的弱选择性和成熟的模式识别方法，研究传感器阵列对分析物混合物的表征。

9876366JosseOverview. To detect organic compounds in contaminated ground and waste water that result in human and environmental health hazards, this research project will investigate and design a rapid, reliable, and high-sensitivity sensor device for reproducible measurements in liquid environments.Problem. Organic contaminants, particularly volatile organic compounds (VOCs), pose significant human and environmental health hazards. More precisely, groundwater and mixed waste water samples often contain such VOCs as trichloroethene, halogenated phenols, vinyl chloride, benzene, toluene, and xylene. Currently, sampling must be collected and transported to laboratories for analysis. As a consequence, analyses are not only delayed, but more importantly, the delays result in compromised scientific data due to degradation and evaporation of the samples. Accordingly, there is need for a rapid and sensitive method to reproducibly detect ground and waste water contaminants, with ease of testing.Goal and Objectives. The goal of this multidisciplinary research proposal is to investigate, characterize, and design polymer-coated chemical sensors for the direct, rapid, in-situ monitoring of organic compounds and other hazardous constituents in water. To meet this goal, three specific objectives will be met. 1. To investigate and design a reliable and high-sensitivity sensor platform utilizing shear horizontal surface acoustic wave (SH-SAW) device for reproducible sensor operation in liquid environments 2. To characterize individual sensors and classify polymer coating-analyte pairs into patterns3. To investigate the implementation of sensor arrays to characterize mixtures of analytes using the weak selectivity of the coatings together with proven pattern recognition methods.***