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Book Cover
Author Baronas, Romas, author

Title Mathematical modeling of biosensors / Romas Baronas, Feliksas Ivanauskas, Juozas Kulys
Edition Second edition
Published Cham, Switzerland : Springer, [2021]


Description 1 online resource (xvii, 456 pages) : illustrations (some color)
Series Springer series on chemical sensors and biosensors : methods and applications, 1612-7617 ; volume 9
Springer series on chemical sensors and biosensors ; 09. 1612-7617
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
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 Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed March 30, 2021)
In Springer Nature eBook
Subject Biosensors -- Mathematical models
Biomedical engineering.
Engineering mathematics.
biomedical engineering.
Biomedical engineering
Engineering mathematics
Form Electronic book
Author Ivanauskas, Feliksas, author
Kulys, Juozas, author
ISBN 9783030655051