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Proceedings Paper

Polymer surfaces, interfaces, and computer modeling: an investigation of smart conducting polymer sensors
Author(s): Afshad Talaie; Takahisa Taguchi; Kimihiro Adachi; Jose A. Romagnoli
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Paper Abstract

The discovery of new sensing materials and electrodes has greatly expanded the range of scientific methods including electrochemical techniques. Conducting polymer such as polypyrrole and polyaniline represent a new class of organic polymers that are capable of molecular interactions and being able to interact, chemically or electrochemically, with the species of interest for detection. Although these conductive materials have unique properties they have their specific problems with respect to their reproducibility and reusability. Problems exist due to the dynamic nature of these polymers thereby mitigating against their successful applications as novel sensors. This has also hindered the production of analytical useful, sensitive, and reversible signals using these polymers. This paper has sought to examine the problems due to the lack of useful analytical, sensitive, reversible and reusable signals through the introduction of new series of integrated artificial intelligence/conducting polymer based sensors. In these types of sensors analytical responses, which look irreversible and nonreproducible, are combined by an artificial intelligence trained computer by which reproducible output can be predicted based on the created model and pattern by the computerized system.

Paper Details

Date Published: 14 November 1997
PDF: 9 pages
Proc. SPIE 3241, Smart Materials, Structures, and Integrated Systems, (14 November 1997); doi: 10.1117/12.293496
Show Author Affiliations
Afshad Talaie, Osaka National Research Institute (Japan) and Univ. of Sydney (Australia)
Takahisa Taguchi, Osaka National Research Institute (Japan)
Kimihiro Adachi, Osaka National Research Institute (Japan)
Jose A. Romagnoli, Univ. of Sydney (Australia)


Published in SPIE Proceedings Vol. 3241:
Smart Materials, Structures, and Integrated Systems
Alex Hariz; Vijay K. Varadan; Olaf Reinhold, Editor(s)

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