Collaborative Research: Synthesis and Modeling of Novel Nanoparticle-Polymer Composite Films for Sensor Applications

合作研究：用于传感器应用的新型纳米颗粒-聚合物复合薄膜的合成和建模

• 批准号: 1030689
• 负责人: Olusegun Ilegbusi
• 金额: $ 21.27万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1030689&HistoricalAwards=false
• 关键词: Collaborative; Research; Synthesis; Modeling; Novel

This grant provides funding to develop and study the characteristics of novel nanocomposite materials for chemical sensing. The materials involve integrating metal or semi-conductor in polymers. Such materials have exhibited unique electrical conductivity properties important for development of highly selective and sensitive gas sensors. The sensor material will be synthesized using specially-designed a chemical vapor deposition technique that permits optimization of the metal/semiconductor-to-polymer composition ratio. The synthesized material structure will be characterized including chemical composition and morphology, and a model of nanocomposite growth is developed. The sensor performance will be studied by measuring induced electrical conductivity upon exposure to specific gaseous ambience. The experimental results will be used to develop and validate a comprehensive theory of sensor behavior and sensor selectivity, sensitivity and time response to a variety of gaseous surroundings including carbon dioxide and hydrogen.If successful, the result of this research will lead to a novel method for intelligent nanomanufacturing and optimization of materials sensing properties. A primary objective of this research is to establish the structure-property relationship ? the link between the key materials parameters (chemical composition, and microstructure) and the resulting sensing responses. The integration of synthesis, characterization, and modeling is the critical component of the proposal which will allow optimization of synthesis conditions in order to obtain materials with the desired sensing properties. The proposed work will also provide a methodology for producing chemical biosensors with selectivity towards ambient conditions that are unique to certain diseases. An example is a sensor for detection of superoxide anion radicals (oxgygen ions) that have been implicated in a number of diseases including cancer and heart disease. Such a sensor could potentially provide a means for early detection and treatment of such diseases.

该赠款提供资金用于开发和研究用于化学传感的新型纳米复合材料的特性。这些材料涉及将金属或半导体集成到聚合物中。此类材料表现出独特的导电性能，对于开发高选择性和灵敏的气体传感器非常重要。传感器材料将使用专门设计的化学气相沉积技术合成，该技术可以优化金属/半导体与聚合物的成分比例。 合成的材料结构将被表征，包括化学成分和形态，并开发纳米复合材料生长模型。将通过测量暴露于特定气体环境时的感应电导率来研究传感器性能。实验结果将用于开发和验证传感器行为以及传感器对包括二氧化碳和氢气在内的各种气体环境的选择性、灵敏度和时间响应的综合理论。如果成功，这项研究的结果将带来一种新方法用于智能纳米制造和材料传感特性的优化。 这项研究的主要目标是建立结构-性能关系 ?关键材料参数（化学成分和微观结构）与由此产生的传感响应之间的联系。合成、表征和建模的整合是该提案的关键组成部分，它将允许优化合成条件，以获得具有所需传感特性的材料。拟议的工作还将提供一种生产化学生物传感器的方法，该传感器对某些疾病特有的环境条件具有选择性。一个例子是用于检测超氧阴离子自由基（氧离子）的传感器，超氧阴离子自由基与包括癌症和心脏病在内的多种疾病有关。 这种传感器有可能为此类疾病的早期检测和治疗提供一种手段。