Application of artificial neural networks and biosensors to determine concentrations of mixture
Articles
Linas Litvinas
Vilniaus universitetas
Romas Baronas
Vilniaus universitetas
Published 2014-12-20
https://doi.org/10.15388/LMR.B.2014.15
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Keywords

biosensor
artificial neural networks
principal component analysis

How to Cite

Litvinas L. and Baronas R. (2014) “Application of artificial neural networks and biosensors to determine concentrations of mixture”, Lietuvos matematikos rinkinys, 55(B), pp. 78–83. doi: 10.15388/LMR.B.2014.15.

Abstract

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.

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