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
  name:
    name part: Baronas, Romas.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Ivanauskas, Feliksas.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Kulys, Juozas.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    edition: 2nd ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XVII, 456 pages 152 illustrations, 12 illustrations in color.)
  abstract: This newly designed and enlarged edition offers an up-to-date presentation of biosensor development and modeling from both a chemical and a mathematical point of view. An entire new chapter in particular is dedicated to optimal design of biosensors. Two more new chapters discuss biosensors which utilize microbial cells and are based on carbon nanotubes respectively. All the other chapters have been revised and updated. The book contains unique modeling methods for amperometric, potentiometric and optical biosensors based mainly on biocatalysts . It examines processes that occur in the sensors' layers and at their interface, and it provides analytical and numerical methods to solve equations of conjugated enzymatic (chemical) and diffusion processes. The action of single enzyme as well as polyenzyme biosensors and biosensors based on chemically modified electrodes is studied. 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: Introduction to Modeling of Biosensors -- Effects of Diffusion Limitations on the Response and Sensitivity of Biosensors -- Biosensors Utilizing Consecutive and Parallel Substrates Conversion -- Biosensors Response Amplification with Cyclic Substrates Conversion -- Biosensors Utilizing Synergistic Substrates Conversion -- Biosensors Acting in Injection Mode -- Chemically Modified Enzyme and Biomimetic Catalysts Electrodes -- Biosensors with Porous and Perforated Membranes -- Biosensors Utilizing Non Michaelis-Menten Kinetics -- Biosensors Based on Microreactors -- Modeling Carbon Nanotube Based Biosensors -- Modeling Biosensors Utilizing Microbial Cells -- Application of Mathematical Modeling to Optimal Design of Biosensors.
  note: by Romas Baronas, Feliksas Ivanauskas, Juozas Kulys.
  subject:
    topic: Biomedical engineering
  subject:
    topic: Biochemical engineering
  subject:
    topic: Chemometrics
  subject:
    topic: Mathematical physics
  subject:
    topic: Food-Biotechnology
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Biomedical Engineering and Bioengineering
  subject:
    topic: Biochemical Engineering
  subject:
    topic: Math. Applications in Chemistry
  subject:
    topic: Theoretical, Mathematical and Computational Physics
  subject:
    topic: Food Science
  subject:
    topic: Applications of Mathematics
  classification: R856-857
  classification: HC79.E5
  classification: GE220
  classification: 610.28
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Springer Series on Chemical Sensors and Biosensors, Methods and Applications ; 9
  identifier: 9783030655051
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 210215
    record change date: 20230330185152.8
    record identifier: in00004389396