Mathematical Modeling and Scale-Up of Liquid Chromatography

Dr. Tingyue Gu is a professor in the Department of Chemical & Biomolecular Engineering at Ohio University. He obtained his PhD degree in chemical engineering from Purdue University in 1990. His PhD work was devoted to liquid chromatography (LC) theories and modeling. Dr. Gu has solved a series of LC models numerically for various forms of LC and developed a comprehensive software package with graphical user interface. His software has been used in over 34 countries by numerous people. The software is offered for free for academic applications. It has also been commercially licensed by major companies including leading biotech and pharmaceutical companies. The software has been successfully used for product development with huge savings in time through simulation. Apart from LC, his current research also encompasses bioenergy, biofilm electrochemistry, biocorrosion, and microbial fuel cells.

Introduction.- Literature Review.- General Multicomponent Rate Models for Column Liquid Chromatography.- Parameter Estimation.- Mass Transfer Effects in Liquid Chromatography Simulation.- Interference Effects in Multicomponent Chromatography.- System Peaks in Multicomponent Elution.- Modeling and Scale-up of Size Exclusion Chromatography.- Modeling of LC with cored beads.- Modeling of Slow Kinetics and Affinity Chromatography.- Multicomponent Adsorption with Uneven Saturation Capacities.- Modeling of Multicomponent Gradient Elution.- Modeling of Ion-Exchange Chromatography.- Multicomponents Radial Flow Chromatography.

"This book is a welcome addition for those who want to better understand the modeling of nonlinear liquid chromatography. ... The combination of this book with the Chromulator software makes this a good teaching resource for specialized undergraduate or graduate chemistry as well as chemical engineering courses. ... This book is definitely written in the language of chemical engineers, but chemists and other users of chromatography will also appreciate its capacity to improve their understanding of the modeling of chromatography." (Attila Felinger, Analytical and Bioanalytical Chemistry, April, 2016)