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Title
Mathematical modeling of biosensors / Romas Baronas, Feliksas Ivanauskas, Juozas Kulys.
Edition
Second edition.
ISBN
9783030655051 (electronic book)
3030655059 (electronic book)
3030655040
9783030655044
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (xvii, 456 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-65505-1 doi
Call Number
R857.B54
Dewey Decimal Classification
610.28/4
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 30, 2021).
Series
Springer series on chemical sensors and biosensors ; 09. 1612-7617
Available in Other Form
Print version: 9783030655044
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.
