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Mathematical Modeling of Biosensors pp 113–137Cite as

One-Layer Multi-Enzyme Models of Biosensors

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Part of the book series: Springer Series on Chemical Sensors and Biosensors ((SSSENSORS,volume 9))

Abstract

The amperometric biosensors have proved to be reliable and low-cost in various analytical systems with applications in biotechnology, medicine and environmental monitoring [106, 218, 229, 246, 275]. However, amperometric biosensors possess a number of serious drawbacks. One of the main reasons restricting wider use of the biosensors is a relatively short linear range of the calibration curve. Increasing the concentration range of detectable analyte, the sensitivity and specificity of the detection event improves the prospects for commercialising biosensors [176, 196, 217, 228, 246].

One way of overcoming those problems is to couple different enzymes either in sequence, in competition or in recycle pathways. Due to the appropriate combination of enzymes, the range of analyte species accessible to measurement, the selectivity and the sensitivity of the biosensor may be enhanced [63, 94, 137, 150, 274].

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Authors and Affiliations

  1. Dept. Mathematics & Informatics, Vilnius University, Naugarduko 24, LT-03225, Vilnius, Lithuania

    Romas Baronas & Feliksas Ivanauskas

  2. Dept. Chemistry & Bioengineering, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223, Vilnius, Lithuania

    Juozas Kulys (Fac. Fundamental Sciences)

Authors
  1. Romas Baronas
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  2. Feliksas Ivanauskas
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  3. Juozas Kulys
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Correspondence to Romas Baronas .

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Baronas, R., Ivanauskas, F., Kulys, J. (2010). One-Layer Multi-Enzyme Models of Biosensors. In: Mathematical Modeling of Biosensors. Springer Series on Chemical Sensors and Biosensors, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3243-0_7

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