Literature DB >> 34892180

Modeling of Enzyme-FET Biosensor Based on Experimental Glucose-Oxidase Receptor.

Cristian Ravariu, Vijay Arora.   

Abstract

The modeling of biosensors is useful in the design stage. The main device simulator, like Silvaco, has poor software resources for bio-receptors simulations. The modeling is challenging due to the high complexity of the living matter. It requires complementary knowledge from biochemistry, biosensors technology and electronic devices, like FET - Field Effect Transistors. This paper presents an analytical model for the product concentrations versus the time for enzymatic FET based on zero, one or two-order reaction. The mathematical model is confronted with an experimental model tested on a glucose biosensor that uses glucose-oxidase receptor enzyme. The biosensor response time was 36 seconds for enzyme loading of 2μmol/l.Clinical Relevance- The analytical model proposed in this paper represents an analytical tool in the design stage, for any biosensor used in clinical practices. Their modeling is missing.

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Year:  2021        PMID: 34892180     DOI: 10.1109/EMBC46164.2021.9630120

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  2 in total

1.  Generalized Analytical Model for Enzymatic BioFET Transistors.

Authors:  Cristian Ravariu; Avireni Srinivasulu; Dan Eduard Mihaiescu; Sarada Musala
Journal:  Biosensors (Basel)       Date:  2022-06-30

2.  Optimized Technologies for Cointegration of MOS Transistor and Glucose Oxidase Enzyme on a Si-Wafer.

Authors:  Cristian Ravariu; Catalin Corneliu Parvulescu; Elena Manea; Vasilica Tucureanu
Journal:  Biosensors (Basel)       Date:  2021-12-05
  2 in total

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