POLYMER SURFACES, INTERFACES AND COMPUTER MODELING - AN INVESTIGATIONOF NEW INTELLIGENT MATERIALS FOR SENSING APPLICATION

The discovery of new sensing materials and electrodes has greatly expa nded the range of scientific methods including electrochemical techniq ues. Conducting polymers such as polypyrrole and polyaniline represent a new class of organic polymers that are capable of molecular interac tions and being able to interact, chemically or electrochemically, wit h the species of interest for detection. Although these conductive mat erials have unique properties they have their specific problems with r espect 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 usi ng these polymers. This paper has sought to examine the problems due t o the lack of useful analytical, sensitive, reversible and re-usable s ignals through the introduction of new series of integrated artificial intelligence/conducting polymer based sensors. In these type of senso rs analytical responses, which look irreversible and non reproducible, are combined by an artificial intelligence trained computer by which reproducible output can be predicted based on the created model and pa ttern by the computerized system.