| Title |
Computational modelling, signal analysis and optimisation of biosensors / |
| Translation of Title |
Biojutiklių kompiuterinis modeliavimas, signalo analizė ir optimizavimas. |
| Authors |
Litvinas, Linas |
| Full Text |
|
| Pages |
53 |
| Keywords [eng] |
biosensor ; computational modelling ; artificial neural networks ; multi-objective optimisation ; multi-dimensional visualisation |
| Abstract [eng] |
Biosensor is a device for detection and measurement of substrate concentration in analysed solution. It is a cheap and reliable device used in environment monitoring, food industry and medicine. In dissertation an artificial neural networks is applied to the biosensor to determine multiple substrate concentrations. The case of the multiple substrate is analysed. The biosensor model involves substrate interaction and the external (Nerst) diffusion layer. The response of the biosensor is used to determine multiple substrates concentrations. Moreover, the effect of the external diffusion layer is investigated. Furthermore, the determination of concentration of two substrates using two biosensor static currents is investigated and the effect of a diffusion module is analysed. In order to make good biosensor, the device should meet many contradictory requirements. Dissertation presents a method that combines mathematical modeling, multi-objective optimisation and multi-dimensional visualisation that is intended for the design and optimisation of amperometric biosensors. The approach for optimising parameters of biosensors are based on the availability of a mathematical model of a catalytic biosensor. A multi-objective visualisation of trade-off solutions and Pareto optimal decisions is applied to select of the most favorable decision by a human expert when designing biosensors. The multi-objective optimisation was applied to glucose and phenol biosensors. |
| Dissertation Institution |
Vilniaus universitetas. |
| Type |
Summaries of doctoral thesis |
| Language |
English |
| Publication date |
2018 |
