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Sensors 2014, 14(3), 4634-4656; doi:10.3390/s140304634

Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response

Faculty of Mathematics and Informatics, Vilnius University, Naugarduko 24, Vilnius LT-03225, Lithuania
Institute of Biochemistry, Vilnius University, Mokslininku 12, Vilnius LT-08662, Lithuania
Institute of Mathematics and Informatics, Vilnius University, Akademijos 4, Vilnius LT-08663, Lithuania
Author to whom correspondence should be addressed.
Received: 17 December 2013 / Revised: 28 February 2014 / Accepted: 5 March 2014 / Published: 7 March 2014
(This article belongs to the Special Issue Amperometric Biosensors)
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The optimization-based quantitative determination of multianalyte concentrations from biased biosensor responses is investigated under internal and external diffusion-limited conditions. A computational model of a biocatalytic amperometric biosensor utilizing a mono-enzyme-catalyzed (nonspecific) competitive conversion of two substrates was used to generate pseudo-experimental responses to mixtures of compounds. The influence of possible perturbations of the biosensor signal, due to a white noise- and temperature-induced trend, on the precision of the concentration determination has been investigated for different configurations of the biosensor operation. The optimization method was found to be suitable and accurate enough for the quantitative determination of the concentrations of the compounds from a given biosensor transient response. The computational experiments showed a complex dependence of the precision of the concentration estimation on the relative thickness of the outer diffusion layer, as well as on whether the biosensor operates under diffusion- or kinetics-limited conditions. When the biosensor response is affected by the induced exponential trend, the duration of the biosensor action can be optimized for increasing the accuracy of the quantitative analysis. View Full-Text
Keywords: biosensor; quantitative analysis; mixture; modeling; simulation; noise; optimization biosensor; quantitative analysis; mixture; modeling; simulation; noise; optimization

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Baronas, R.; Kulys, J.; Lančinskas, A.; Žilinskas, A. Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response. Sensors 2014, 14, 4634-4656.

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