Application of artificial neural networks and biosensors to determine concentrations of mixture
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 determinati...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius University Press
2014-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
| Subjects: | |
| Online Access: | https://www.journals.vu.lt/LMR/article/view/17213 |
| _version_ | 1818345097719185408 |
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| author | Linas Litvinas Romas Baronas |
| author_facet | Linas Litvinas Romas Baronas |
| author_sort | Linas Litvinas |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T16:56:58Z |
| format | Article |
| id | doaj.art-f0c7d330b7dd478b9e63e18a7435241e |
| institution | Directory Open Access Journal |
| issn | 0132-2818 2335-898X |
| language | English |
| last_indexed | 2024-12-13T16:56:58Z |
| publishDate | 2014-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj.art-f0c7d330b7dd478b9e63e18a7435241e2022-12-21T23:37:54ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2014-12-0155B10.15388/LMR.B.2014.15Application of artificial neural networks and biosensors to determine concentrations of mixtureLinas Litvinas0Romas Baronas1Vilniaus universitetasVilniaus universitetasBiosensor 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.https://www.journals.vu.lt/LMR/article/view/17213biosensorartificial neural networksprincipal component analysis |
| spellingShingle | Linas Litvinas Romas Baronas Application of artificial neural networks and biosensors to determine concentrations of mixture Lietuvos Matematikos Rinkinys biosensor artificial neural networks principal component analysis |
| title | Application of artificial neural networks and biosensors to determine concentrations of mixture |
| title_full | Application of artificial neural networks and biosensors to determine concentrations of mixture |
| title_fullStr | Application of artificial neural networks and biosensors to determine concentrations of mixture |
| title_full_unstemmed | Application of artificial neural networks and biosensors to determine concentrations of mixture |
| title_short | Application of artificial neural networks and biosensors to determine concentrations of mixture |
| title_sort | application of artificial neural networks and biosensors to determine concentrations of mixture |
| topic | biosensor artificial neural networks principal component analysis |
| url | https://www.journals.vu.lt/LMR/article/view/17213 |
| work_keys_str_mv | AT linaslitvinas applicationofartificialneuralnetworksandbiosensorstodetermineconcentrationsofmixture AT romasbaronas applicationofartificialneuralnetworksandbiosensorstodetermineconcentrationsofmixture |