Autors: Garbeva, V. I., Tsankova D., Dimcheva N.
Title: Soft Computing Techniques in Modelling the Influence of pH and Temperature on Dopamine Biosensor
Keywords: biosensor, modeling, neural network

Abstract: In the present work a plant tissue biosensor for dopamine assay is considered as the model biosensor, based on a plant tissue immobilized onto an oxygen Clark probe (Rangelova et al., 2003). Such a biosensing system will be of high interest for the biomedical analysis because the dopamine levels in urine and blood plasma are indicative for diseases like ganglioneuroma, schizophrenia, manic-depressive psychosis, stress, and burn-out syndrome. The traditional analysis is made mainly by radioimmunoassay or chromatography, which are time and labour-consuming techniques, requiring tedious sample pre-treatment and costly equipment. Alternatively, an amperometric dopamine biosensor would provide a fast and straightforward assay of the analyte. Depending on the diffusion limitations the response time of such an amperometric biosensor can range from several seconds to 2-3 minutes. The purpose of the present work is to model the inf



    Chapter 5, in : Intelligent and Biosensors, 2010, Croatia, INTECH, ISBN 978- 953- 7619 -58 -9

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