Springer Mathematical Modeling of Biosensors: 9 (Springer Series on Chemical Sensors and Biosensors, 9)

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.   From the Back Cover 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.   About the Author Romas Baronas he is a Professor at the Institute of Computer Science of the Vilnius University (Lithuania) since 2005, and his main research interests cover computational modeling of nonlinear phenomena in life sciences. He received his Ph.D. in Computer Science at the same university in 2000, and from 2006 to 2017 he headed the Department of Software Engineering at the Vilnius University. He was the director of the Institute of Computer Science in 2018-2019, and as of 2019, he also works as the chairman of the Research Council of Lithuania. In 2012 he was awarded the Lithuanian Science Prize.  Feliksas Ivanauskas is a Professor Emeritus of the Vilnius University (Lithuania). He joint this university in 1972 as Senior Lecturer, and later on, as Associate Professor, Professor, Head of the Department of Mathematical Software, Head of the Department of Differential Equations and Numerical Mathematics, Head of the Department of Computer Science II, and Dean of Faculty of Mathematics and Informatics. He received his Ph.D. in Mathematics from the Moscow State University and the second degree (Habilitation Doctor) in Mathematics from the Institute of Mathematical Modeling, Rus