This work deals with the stochastic simulation of a nanowire biosensor surface and the surrounding liquid domain for DNA detection. The objective is an analysis of the fluctuations and of the biological noise induced by the inherent randomness of the hybridization process at the surface. We consider a coupled system of diffusion-reaction equations to model the movement of DNA oligomers as well as the hybridization processes at the functionalized surface of the sensor. Since analytical solutions cannot be derived, numerical investigation is necessary. Here, we present an algorithm different from the already published one in Tulzer and Heitzinger (2014) and show the non-monotonic behaviour of the variance in certain regimes. The variance determines the detection limit, which is an important quantity for optimal sensor design.
|Original language||English (US)|
|Title of host publication||IFAC Proceedings Volumes (IFAC-PapersOnline)|
|Number of pages||5|
|State||Published - Feb 1 2015|
|Event||8th Vienna International Conference on Mathematical Modelling, MATHMOD 2015 - Vienna, Austria|
Duration: Feb 18 2015 → Feb 20 2015
|Other||8th Vienna International Conference on Mathematical Modelling, MATHMOD 2015|
|Period||2/18/15 → 2/20/15|
- DNA hybridization
- Nanowire biosensor
- Stochastic processes.
ASJC Scopus subject areas
- Control and Systems Engineering