Open AccessApplication of artificial neural networks and biosensors to determine concentrations of mixture
Author(s) -
Linas Litvinas,
Romas Baronas
Publication year - 2014
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.b.2014.15
Subject(s) - biosensor , substrate (aquarium) , biological system , artificial neural network , layer (electronics) , diffusion , dimension (graph theory) , materials science , nonlinear system , principal component analysis , dependency (uml) , computer science , nanotechnology , mathematics , artificial intelligence , physics , biology , thermodynamics , quantum mechanics , pure mathematics , ecology
Biosensor response, in case of multi-substrate mixture, has nonlinear dependence on substrate concentrations. This work investigates the possibility to approximate this dependency with artificial neural network. Also the influence of external diffusion layer to results of multi-substrate determination was investigated. The numerically modelled biosensor response was used as experimental data. The principal components analysis was used to reduce the dimension of biosensor response. Prefered method gives acceptable acuratnes on multi-substrate determination and it can be improved by relatively large external diffusion layer.