Mathematical Modeling of Biosensors

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. It contains unique modeling methods for amperometric,potentiometric and optical  biosensors based mainly on biocatalysts and examines processes that occur in the sensors layers and at their interface. The modeling of biosensors that contain perforated membranes and multipart mass transport profiles is critically investigated, and 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 are fully described.

Format: Paperback / softback
Length: 456 pages
Publication date: 17 February 2022
Publisher: Springer Nature Switzerland AG

This newly designed and expanded edition presents a comprehensive and up-to-date exploration of biosensor development and modeling, encompassing both chemical and mathematical perspectives. In particular, a dedicated chapter is devoted to the optimal design of biosensors, highlighting the latest advancements in this field. Additionally, two new chapters delve into the utilization of microbial cells and carbon nanotubes in biosensor development, offering valuable insights. All other chapters have been thoroughly revised and updated to ensure their currency and relevance.

The book offers unique modeling methodologies for amperometric, potentiometric, and optical biosensors, primarily based on biocatalysts. It delves into the processes occurring within the sensor layers and at their interface, providing analytical and numerical methods to solve equations governing conjugated enzymatic (chemical) and diffusion processes. The study encompasses the action of single enzyme, polyenzyme, and biosensors based on chemically modified electrodes, shedding light on their mechanisms and applications.

Furthermore, the book critically investigates the modeling of biosensors featuring perforated membranes and multipart mass transport profiles. It comprehensively describes how signals can be biochemically amplified, cascades of enzymatic substrate conversion can be triggered, and signals can be processed through chemometric approaches and artificial neuronal networks. The results of digital modeling are compared with both proximal analytical solutions and experimental data, providing a robust validation of the proposed models.

This comprehensive and cutting-edge edition serves as a valuable resource for researchers, scientists, and engineers in the fields of biosensors, biotechnology, and analytical chemistry. It equips readers with the necessary tools and knowledge to advance the development and application of biosensors in various scientific and industrial settings.

Weight: 724g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030655075
Edition number: 2nd ed. 2021