DocumentCode :
381797
Title :
Vapor detection, classification, and quantification performance using arrays of conducting polymer composite chemically sensitive resistors
Author :
Briglin, Shawn M. ; Freund, Michael S. ; Sisk, Brian C. ; Lewis, Nathan S.
Author_Institution :
Noyes Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
727
Abstract :
Describes a method for generating a variety of chemically diverse, broadly responsive, low power vapor sensors. A key to our ability to fabricate chemically diverse sensing elements is the preparation of processable, air stable films of electrically conducting organic polymers. An array of such sensing elements produces a chemically reversible, diagnostic pattern of electrical resistance changes upon exposure to different odorants. Such conducting polymer elements are simply prepared and are readily modified chemically to respond to a broad range of analytes. In addition, these sensors yield a fairly rapid, low power, dc electrical signal in response to the vapor of interest, and their signals are readily integrated with software or hardware-based neural networks for purposes of analyte identification. Principal component analysis has demonstrated that such sensors can identify and quantify different airborne organic solvents, and can yield information on the components of gas mixtures.
Keywords :
conducting polymers; electric sensing devices; filled polymers; gas sensors; neural nets; principal component analysis; resistors; sensor fusion; airborne organic solvents; array; chemically sensitive resistors; conducting polymer composite; dc electrical signal; diagnostic pattern; electrical resistance changes; gas mixtures; neural networks; odorants; principal component analysis; quantification performance; vapor detection; Chemical analysis; Chemical elements; Chemical processes; Chemical sensors; Organic chemicals; Polymer films; Power generation; Resistors; Sensor phenomena and characterization; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2002. Proceedings of IEEE
Print_ISBN :
0-7803-7454-1
Type :
conf
DOI :
10.1109/ICSENS.2002.1037193
Filename :
1037193
Link To Document :
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