Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 176,43
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In den WarenkorbZustand: New. In.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Mathematical Modeling of Biosensors | Romas Baronas (u. a.) | Taschenbuch | Springer Series on Chemical Sensors and Biosensors | xvii | Englisch | 2022 | Springer | EAN 9783030655075 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, 2022
ISBN 10: 3030655075 ISBN 13: 9783030655075
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This newly designed and enlarged edition offers an up-to-date presentation ofbiosensor 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 bookcontains unique modeling methods foramperometric, 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 solveequationsofconjugated enzymatic (chemical) and diffusion processes. The action of single enzyme as well as polyenzyme biosensors andbiosensors based onchemically modified electrodesis studied.The modeling of biosensorsthat 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.