Mathematical Modeling of Biosensors [electronic resource] / by Romas Baronas, Feliksas Ivanauskas, Juozas Kulys.

9783030655051

2nd ed. 2021.

Cham : Springer International Publishing : Imprint: Springer, 2021.

1 online resource (XVII, 456 p.) 152 illus., 12 illus. in color.

Access is available to the Yale community.

Access restricted by licensing agreement.

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. .

Springer ENIN.

Books / Online

English

March 03, 2021