New PDF release: Mathematical Modeling and Scale-Up of Liquid Chromatography:

By Tingyue Gu

ISBN-10: 331916144X

ISBN-13: 9783319161440

ISBN-10: 3319307606

ISBN-13: 9783319307602

Tingyue Gu's moment variation offers a entire set of nonlinear multicomponent liquid chromatography (LC) types for numerous different types of LC, similar to adsorption, dimension exclusion, ion-exchange, reversed-phase, affinity, isocratic/gradient elution and axial/radial circulate LC. a lot has complicated because the first version of this booklet and the author's software program, defined the following, is now used for instructing and learn in 32 various nations. This publication comes including a whole software program package deal with graphical consumer interface for private desktops, provided unfastened for tutorial purposes. also, this publication offers particular tools for parameter estimation of mass move coefficients, mattress voidage, particle porosity and isotherms. the writer offers examples of ways to take advantage of the software program for predicitons and scale-up. unlike the 1st version, authors shouldn't have to accommodate complex math. as a substitute, they concentrate on how one can receive a couple of parameters for simulation and the way to check simulation effects with experimental facts. After interpreting the designated descriptions within the publication, a reader is ready to use the simulation software program to enquire chromatographic habit with no doing genuine experiments. This publication is aimed toward readers who're attracted to studying approximately LC behaviors and at those that are looking to scale up LC for preparative- and large-scale functions. either educational group of workers and business practitioners can enjoy the use of the e-book. This re-creation comprises:
- New types and software program for pellicular (cored) beads in liquid chromatography
- advent of hassle-free software program (with graphical person interface)
- distinct descriptions on the way to use the software program
- step by step directions on parameter estimation for the models
- New mass-transfer correlations for parameter estimation
- Experimental equipment for parameter estimation
- numerous genuine examples utilizing the version for product improvement and scale-up
- up-to-date literature review

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