This textbook describes the basic principles and mechanism of action of biosensor systems, and introduces readers to the various types of biosensors; from affinity biosensors to catalytic, optical and label-free biosensors, the most common systems are explained in detail. Dedicated advanced sections focus on biochips and genome sequencing methods as well as organs-on-a-chip. The textbook helps readers to understand the elementary components of biosensors, and to identify and illustrate each function in the biosensor information flow, from recognition to transduction and transmission. Furthermore, readers will receive guidance in critically analyzing published studies on biosensor research, helping them to develop appropriate concepts and independently propose their own solutions. The textbook is intended for master’s students in bioengineering, biophysics, biotechnology and pharmacology that need a solid grasp of biosensor system technologies and applications, as well as students in related medical technological fields.
Everything is more simple than one thinks but at the same time more complex than one can understand Johann Wolfgang von Goethe To reach the point that is unknown to you, you must take the road that is unknown to you St. John of the Cross This is a book on the numerical approximation ofpartial differential equations (PDEs). Its scope is to provide a thorough illustration of numerical methods (especially those stemming from the variational formulation of PDEs), carry out their stability and convergence analysis, derive error bounds, and discuss the algorithmic aspects relative to their implementation. A sound balancing of theoretical analysis, description of algorithms and discussion of applications is our primary concern. Many kinds of problems are addressed: linear and nonlinear, steady and time-dependent, having either smooth or non-smooth solutions. Besides model equations, we consider a number of (initial-) boundary value problems of interest in several fields of applications. Part I is devoted to the description and analysis of general numerical methods for the discretization of partial differential equations. A comprehensive theory of Galerkin methods and its variants (Petrov Galerkin and generalized Galerkin), as wellas ofcollocationmethods, is devel oped for the spatial discretization. This theory is then specified to two numer ical subspace realizations of remarkable interest: the finite element method (conforming, non-conforming, mixed, hybrid) and the spectral method (Leg endre and Chebyshev expansion).
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.