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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.
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.
Biosensors are analytical devices in which speci?c recognition of
the chemical substances is performed by biological material. The
biological material that serves as recognition element is used in
combination with a transducer. The transducer transforms
concentration of substrate or product to electrical signal that is
amp- ?ed and further processed. The biosensors may utilize enzymes,
antibodies, nucleic acids, organelles, plant and animal tissue,
whole organism or organs. Biosensors containing biological
catalysts (enzymes) are called catalytical biosensors. These type
of biosensors are the most abundant, and they found the largest
application in medicine, ecology, and environmental monitoring. The
action of catalytical biosensors is associated with substrate
diffusion into biocatalytical membrane and it conversion to a
product. The modeling of bios- sors involves solving the diffusion
equations for substrate and product with a term containing a rate
of biocatalytical transformation of substrate. The complications of
modeling arise due to solving of partially differential equations
with non-linear biocatalytical term and with complex boundary and
initial conditions. The book starts with the modeling biosensors by
analytical solution of partial differential equations. Historically
this method was used to describe fundamental features of biosensors
action though it is limited by substrate concentration, and is
applicable for simple biocatalytical processes. Using this method
the action of biosensors was analyzed at critical concentrations of
substrate and enzyme activity.
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