AN INTEGRATED ARTIFICIAL NEURAL-NETWORK POLYMER-BASED PH SENSOR - A NEW ENGINEERING PERSPECTIVE TO CONDUCTING POLYMER TECHNOLOGY

A new approach towards the development of a novel pH sensor using elec trically conducting polymers is addressed. The approach is based on co mputer analysis of different experimental works in which various condu cting polymer-based pH electrodes are examined. In this work, we prese nt a novel conducting polymer pH sensor by which the pH in solutions w ith different pH values can be detected. Since re-usability and reprod ucibility of conducting polymer sensors have been themselves controver sial issues, we discuss the application of artificial intelligence (AI ) methods, artificial neural networks (ANNs) in particular, to address and examine such an issue on the performance of the introduced pH sen sor. The introduced integrated ANN/conducting polymer pH sensing syste m has shown much better reproducibility in detecting pH of different a cidic and basic media over the conventional polymeric pH detectors. Th e system can be designed for pH detection in any operational environme nt in an online/real time manner. Having access to such a system enabl es us to have access to the history of a desirable chemical process wi th respect to the extent of the acidity of the process.