| Abstract [eng] |
Biosensors are sensing devices that transform a biological recognition into the detectable signal. In most cases biosensors are used to detect the concentration of the specific substance and are mostly applied in environmental, medicine and food industries. The enzyme is the most crucial and expensive part of the analysed biosensors, therefore decreasing the number of experiments performed in the laboratory is desired. One of the main reasons restricting wider use of the enzymatic amperometric biosensors is a relatively short linear range of the calibration curve. The application of intermediate substances to solve this kind of problem is analysed in this thesis. The mathematical models of two biosensors utilizing intermediate substances are presented and analysed. In general case, the models are solved numerically, by applying finite difference technique. Specific software is developed to solve the numerical models of the biosensors. The digital investigation process is automated by carrying out the calculations on the computational grid. The peculiarities of the biosensor with chemically modified electrode and biosensor with parallel substrates conversion are investigated by using developed software. The results of the investigation can be applied practically, as they describe the optimal configurations of the analysed biosensors. To solve the problems more efficiently, improvements to the mathematical and computational models as well as their accuracy are presented. |
