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14 November 1997 Polymer surfaces, interfaces, and computer modeling: an investigation of smart conducting polymer sensors
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Afshad Talaie, Takahisa Taguchi, Kimihiro Adachi, and Jose A. Romagnoli "Polymer surfaces, interfaces, and computer modeling: an investigation of smart conducting polymer sensors", Proc. SPIE 3241, Smart Materials, Structures, and Integrated Systems, (14 November 1997); https://doi.org/10.1117/12.293496
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