Paper
24 April 1996 Optical arrays and pattern recognition in the design of an artificial nose
Todd A. Dickinson, Suneet Chadha, David R. Walt, Joel White, John S. Kauer
Author Affiliations +
Abstract
Array sensors capable of multi-vapor discrimination have been developed that employ fiber optic bundles, CCD cameras, and artificial neural network processing. Sensors have been constructed both through spatial deposition of dye-containing photopolymers on an imaging fiber, and via individual polymer/dye coatings placed on individual single-core fibers and then bundled. Cross-reactive sensing regions are created by using a variety of polymers. The resulting array is then challenged with a variety of analytes. Vapor pulses give rise to temporal response patterns which are used to train a neural network. The final sensor array system can identify subsequent challenges with the analyte over extended periods of time with up to 100% accuracy. The sensor can also characterize analytes on the basis of functional groups and molecular weight, and is capable of identifying components of mixtures.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Todd A. Dickinson, Suneet Chadha, David R. Walt, Joel White, and John S. Kauer "Optical arrays and pattern recognition in the design of an artificial nose", Proc. SPIE 2676, Biomedical Sensing, Imaging, and Tracking Technologies I, (24 April 1996); https://doi.org/10.1117/12.238810
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Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Polymers

Neural networks

Nose

Olfactory system

Optical arrays

Optical pattern recognition

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