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dc.contributor.authorBaronas, Romas
dc.contributor.authorIvanauskas, Feliksas
dc.contributor.authorKulys, Juozas
dc.date.accessioned2023-09-18T18:31:14Z
dc.date.available2023-09-18T18:31:14Z
dc.date.issued2010
dc.identifier.isbn9789048132423
dc.identifier.other(BIS)VGT02-000021961
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/128807
dc.description.abstractThis book presents biosensor development and modeling from both a chemical and a mathematical point of view. It contains unique modeling methods for catalytical (amperometric, potentiometer and optical) biosensors. It examines processes that occur in the sensors' layers and at their interface, and it provides analytical and numerical methods to solve enzymatic kinetic and diffusion equations. The action of single enzyme as well as polyenzyme biosensors is studied, and the modeling of biosensors that contain perforated membranes and multipart mass transport profiles is critically investigated. Furthermore, it is fully described how signals can be biochemically amplified, how cascades of enzymatic substrate conversion are triggered, and how signals are processed via a chemometric approach and artificial neuronal networks. The results of digital modeling are compared with both proximal analytical solutions and experimental data.eng
dc.formatPDF
dc.format.extent334 p.
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.ispartofseriesSpringer series on chemical sensors and biosensors Vol. 9
dc.titleMathematical modeling of biosensors
dc.typeMonografija / Monograph
dcterms.references287
dc.type.pubtypeK1a - Monografija / Monograph
dc.contributor.institutionVilniaus universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 004 - Biochemija / Biochemistry
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldN 009 - Informatika / Computer science
dc.subject.enBiochemical amplification signal
dc.subject.enBiosensor
dc.subject.enBiosensor development
dc.subject.enCatalytical biosensor
dc.subject.enDiffusion equation
dc.subject.enDigital modeling
dc.subject.enEnzymatic kinetic equation
dc.subject.enEnzyme
dc.subject.enFractal kinetics
dc.subject.enMathematical modeling
dc.subject.enModeling
dc.subject.enModeling biosensor
dc.subject.enNumerical method
dc.subject.enPolycomplex formation
dc.subject.enSignal processing
dc.publisher.nameSpringer
dc.publisher.cityDordrecht
dc.identifier.doiVUB02-000035237
dc.identifier.doi10.1007/978-90-481-3243-0
dc.identifier.elaba3925562


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