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SST: Collaborative Research: Capacitive Sensing for Liquid Crystal-Based Chemical and Biological Sensors

SST: Collaborative Research: Capacitive Sensing for Liquid Crystal-Based Chemical and Biological Sensors
SST:合作研究:基于液晶的化学和生物传感器的电容传感
批准号:
0428027
负责人:
Nicholas Abbott
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-08-15 至 2008-07-31

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英文摘要
0428027AbbottThe investigators have formed a sensor small team (SST) of electrical, chemical and biological engineers to explore capacitive sensing for liquid crystal (LC) based chemical and biological sensors. Lead by the efforts of one of the investigators on this proposal, LC systems have proven to be excellent candidates for low cost, portable, field-deployable, highly selective chemical and biological sensors. In these sensors, the molecular alignment of liquid crystal is altered by the presence of targeted chemical or biological agents. The collective behavior and high anisotropy of the LC molecules allow for the detection of extremely low levels of targeted agents. This investigator has demonstrated surface-driven orientational changes of LC molecules in both chemical and biological systems with sensitivity levels as low as ten parts per billion. In these examples, visual inspection is used to sense the deformations within the LC material. The PIs propose to change the transduction method from an optical to a capacitive technique. To exploit capacitive sensing, the PIs will bring together expertise in chemical and biological engineering from Professors Nicholas Abbott and Juan de Pablo's group at The University of Wisconsin and expertise in electrical and computer engineering from Professor Robert Lindquist's group at the University of Alabama in Huntsville. The team will take a systems approach that covers the fundamental issues of capacitive sensing in partially ordered systems, detailed dynamic modeling of the LC deformation and its impact on capacitance, optimal material and electrode designs for both chemical and biological sensors, and finally device integration issues.This is a joint/collaborative project with University of Alabama in Huntsville (R.G. Lindquist) grant number 04428073.
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