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Biosensor response to multi-component mixtures statistical analysis and forecasting
- Source :
- Lietuvos Matematikos Rinkinys, Vol 46, Iss spec. (2023)
- Publication Year :
- 2023
- Publisher :
- Vilnius University Press, 2023.
-
Abstract
- This paper deals with an analysis of the electrochemical biosensors and their response to multi-component mixtures. The main task is to build a mathematical model for estimation the concentration of each mixture component from the biosensor response data. Two different types of biosensors: amperometric and potenciometric are analysed. Due to high dimensionality of biosensor output data the principal component analysis is applied. Additional multivariate analysis of variance is used to analyze the response sensitivity of each biosensor type. Finally a concentration estimation model based on ensemble of neural networks is presented.
- Subjects :
- biosensor
modelling
neural networks
Mathematics
QA1-939
Subjects
Details
- Language :
- English, Lithuanian
- ISSN :
- 01322818 and 2335898X
- Volume :
- 46
- Issue :
- spec.
- Database :
- Directory of Open Access Journals
- Journal :
- Lietuvos Matematikos Rinkinys
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.9d01e722e6744d8aa15358f092350eb
- Document Type :
- article
- Full Text :
- https://doi.org/10.15388/LMR.2006.30739