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Mathematical Modeling and Scale-Up of Liquid Chromatography - With Application Examples (Paperback, 2nd ed. 2015)
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Mathematical Modeling and Scale-Up of Liquid Chromatography - With Application Examples (Paperback, 2nd ed. 2015)
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Tingyue Gu's second edition provides a comprehensive set of
nonlinear multicomponent liquid chromatography (LC) models for
various forms of LC, such as adsorption, size exclusion,
ion-exchange, reversed-phase, affinity, isocratic/gradient elution
and axial/radial flow LC. Much has advanced since the first edition
of this book and the author's software, described here, is now used
for teaching and research in 32 different countries. This book
comes together with a complete software package with graphical user
interface for personal computers, offered free for academic
applications. Additionally, this book provides detailed methods for
parameter estimation of mass transfer coefficients, bed voidage,
particle porosity and isotherms. The author gives examples of how
to use the software for predicitons and scale-up. In contrast to
the first edition, authors do not need to deal with complicated
math. Instead, they focus on how to obtain a few parameters for
simulation and how to compare simulation results with experimental
data. After reading the detailed descriptions in the book, a reader
is able to use the simulation software to investigate
chromatographic behavior without doing actual experiments. This
book is aimed at readers who are interested in learning about LC
behaviors and at those who want to scale up LC for preparative- and
large-scale applications. Both academic personnel and industrial
practitioners can benefit from the use of the book. This new
edition includes: - New models and software for pellicular (cored)
beads in liquid chromatography - Introduction of user-friendly
software (with graphical user interface) - Detailed descriptions on
how to use the software - Step-by-step instructions on parameter
estimation for the models - New mass-transfer correlations for
parameter estimation - Experimental methods for parameter
estimation - Several actual examples using the model for product
development and scale-up - Updated literature review
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