Graphene-Based Chemical Vapor Sensors for Electronic Nose Applications
dc.contributor.advisor | Li, Qiliang | |
dc.contributor.author | Nallon, Eric C. | |
dc.creator | Nallon, Eric C. | |
dc.date.accessioned | 2016-09-28T10:23:53Z | |
dc.date.available | 2016-09-28T10:23:53Z | |
dc.date.issued | 2016 | |
dc.description.abstract | An electronic nose (e-nose) is a biologically inspired device designed to mimic the operation of the olfactory system. The e-nose utilizes a chemical sensor array consisting of broadly responsive vapor sensors, whose combined response produces a unique pattern for a given compound or mixture. The sensor array is inspired by the biological function of the receptor neurons found in the human olfactory system, which are inherently cross-reactive and respond to many different compounds. The use of an e-nose is an attractive approach to predict unknown odors and is used in many fields for quantitative and qualitative analysis. If properly designed, an e-nose has the potential to adapt to new odors it was not originally designed for through laboratory training and algorithm updates. This would eliminate the lengthy and costly R&D costs associated with materiel and product development. Although e-nose technology has been around for over two decades, much research is still being undertaken in order to find new and more diverse types of sensors. | |
dc.format.extent | 173 pages | |
dc.identifier.uri | https://hdl.handle.net/1920/10476 | |
dc.language.iso | en | |
dc.rights | Copyright 2016 Eric C. Nallon | |
dc.subject | Electrical engineering | |
dc.subject | Materials Science | |
dc.subject | Chemical engineering | |
dc.subject | Artificial Olfaction | |
dc.subject | Chemical Sensor | |
dc.subject | Cross-Reactive Array | |
dc.subject | Electronic Nose | |
dc.subject | Graphene | |
dc.subject | Sensor Array | |
dc.title | Graphene-Based Chemical Vapor Sensors for Electronic Nose Applications | |
dc.type | Dissertation | |
thesis.degree.discipline | Electrical and Computer Engineering | |
thesis.degree.grantor | George Mason University | |
thesis.degree.level | Ph.D. |
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