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Carbon Nanotube-based Ultra-sensitive Breath Acetone Sensor for Non-invasive Diabetes Diagnosis

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dc.contributor.author Xiong, Xingguo en_US
dc.contributor.author Xia, Ming en_US
dc.date.accessioned 2014-07-16T16:48:39Z
dc.date.available 2014-07-16T16:48:39Z
dc.date.issued 2012 en_US
dc.identifier.citation Poster 35 en_US
dc.identifier.other c14a534a-ca9e-2518-59ec-7dc168b04582 en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/666
dc.description In this project, the design and theoretical analysis of an ultra-high sensitive breath acetone sensor based on carbon nanotube (CNT) structure is proposed. In this device, a carbon nanotube is anchored to a substrate in one end, and the other end is coated by -WO3. As a ferroelectric material, -WO3 has high selectivity in acetone absorption. The end tip of carbon nanotube is coated with -WO3 material to absorb minute acetone molecules in breath sample. Piezoelectric activation is used to activate the vibration of carbon nanotube cantilever structure. When acetone molecules are absorbed by the coated -WO3, the resonant frequency of the cantilever will be changed for a certain amount. By sensing this certain resonant frequency change, the existence of a single acetone molecule can be detected. A theoretical model is developed to describe the vibration of the carbon nanotube cantilever structure. The resonant frequency change of the cantilever due to attached mass is analyzed. The proposed breath acetone sensor can achieve extremely high sensitivity in molecular level. It can be potentially used for non-invasive diabetic's diagnosis, which leads to a quick, convenient, accurate and painless breath diagnosis of diabetics. en_US
dc.subject Faculty research day en_US
dc.title Carbon Nanotube-based Ultra-sensitive Breath Acetone Sensor for Non-invasive Diabetes Diagnosis en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.name Faculty Research Day en_US

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