rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mathematical Modeling of Biosensors
    sub title: An Introduction for Chemists and Mathematicians
  name:
    name part: Baronas, Romas.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Ivanauskas, Feliksas.
    role:
      role term: author.
  name:
    name part: Kulys, Juozas.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 334 p. online resource.
  abstract: This 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.
  table of contents: Analytical Modeling of Biosensors -- Biosensor Action -- Modeling Biosensors at Steady State and Internal Diffusion Limitations -- Modeling Biosensors at Steady State and External Diffusion Limitations -- Modeling Biosensors Utilizing Microbial Cells -- Modeling Nonstationary State of Biosensors -- Numerical Modeling of Biosensors -- Mono-Layer Mono-Enzyme Models of Biosensors -- One-Layer Multi-Enzyme Models of Biosensors -- Multi-Layer Models of Biosensors -- Modeling Biosensors of Complex Geometry -- Numerical Methods for Reaction-Diffusion Equations -- The Difference Schemes for the Diffusion Equation -- The Difference Schemes for the Reaction–Diffusion Equations.
  note: by Romas Baronas, Feliksas Ivanauskas, Juozas Kulys.
  subject:
    topic: Engineering
  subject:
    topic: Chemistry
  subject:
    topic: Chemoinformatics
  subject:
    topic: Chemometrics
  subject:
    topic: Computer mathematics
  subject:
    topic: Physics
  subject:
    topic: Biomedical engineering
  subject:
    topic: Engineering
  subject:
    topic: Biomedical Engineering
  subject:
    topic: Chemistry/Food Science, general
  subject:
    topic: Theoretical, Mathematical and Computational Physics
  subject:
    topic: Math. Applications in Chemistry
  subject:
    topic: Computational Mathematics and Numerical Analysis
  subject:
    topic: Computer Applications in Chemistry
  classification: R856-857
  classification: 610.28
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series on Chemical Sensors and Biosensors, Methods and Applications, 9
  identifier: 9789048132430
  identifier: http://dx.doi.org/10.1007/978-90-481-3243-0
  record info:
    record creation date: 100301
    record change date: 20151204143559.0
    record identifier: 978-90-481-3243-0