Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response
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) co...
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-03-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/14/3/4634 |
| _version_ | 1811279840592003072 |
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| author | Romas Baronas Juozas Kulys Algirdas Lančinskas Antanas Žilinskas |
| author_facet | Romas Baronas Juozas Kulys Algirdas Lančinskas Antanas Žilinskas |
| author_sort | Romas Baronas |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T01:03:04Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T01:03:04Z |
| publishDate | 2014-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2ebf38e032c8444187fec594ac8aac752022-12-22T03:09:26ZengMDPI AGSensors1424-82202014-03-011434634465610.3390/s140304634s140304634Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor ResponseRomas Baronas0Juozas Kulys1Algirdas Lančinskas2Antanas Žilinskas3Faculty of Mathematics and Informatics, Vilnius University, Naugarduko 24, Vilnius LT-03225, LithuaniaInstitute of Biochemistry, Vilnius University, Mokslininku 12, Vilnius LT-08662, LithuaniaInstitute of Mathematics and Informatics, Vilnius University, Akademijos 4, Vilnius LT-08663, LithuaniaInstitute of Mathematics and Informatics, Vilnius University, Akademijos 4, Vilnius LT-08663, LithuaniaThe 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.http://www.mdpi.com/1424-8220/14/3/4634biosensorquantitative analysismixturemodelingsimulationnoiseoptimization |
| spellingShingle | Romas Baronas Juozas Kulys Algirdas Lančinskas Antanas Žilinskas Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response Sensors biosensor quantitative analysis mixture modeling simulation noise optimization |
| title | Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response |
| title_full | Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response |
| title_fullStr | Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response |
| title_full_unstemmed | Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response |
| title_short | Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response |
| title_sort | effect of diffusion limitations on multianalyte determination from biased biosensor response |
| topic | biosensor quantitative analysis mixture modeling simulation noise optimization |
| url | http://www.mdpi.com/1424-8220/14/3/4634 |
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