Fundamentals of Preparative and Nonlinear Chromatography


  • Georges Guiochon, Department of Chemistry, University of Tennessee, Knoxville, TN, USA
  • Attila Felinger, Department of Analytical Chemistry University of Pecs, Pecs, Hungary
  • Dean G. Shirazi, Director of Analytical Development Laboratories, AAIPharma Wilmington, NC, USA

The second edition of Fundamentals of Preparative and Nonlinear Chromatography is devoted to the fundamentals of a new process of purification or extraction of chemicals or proteins widely used in the pharmaceutical industry and in preparative chromatography. This process permits the preparation of extremely pure compounds satisfying the requests of the US Food and Drug Administration. The book describes the fundamentals of thermodynamics, mass transfer kinetics, and flow through porous media that are relevant to chromatography. It presents the models used in chromatography and their solutions, discusses the applications made, describes the different processes used, their numerous applications, and the methods of optimization of the experimental conditions of this process.
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Practitioners in the pharmaceutical industry, researchers and students in the chemical engineering and/or life sciences field


Book information

  • Published: February 2006
  • ISBN: 978-0-12-370537-2

Table of Contents

1. Introduction, Definitions, Goal.
2. The Mass Balance Equation of Chromatography and Its General Properties.
3. Single-Component Equilibrium Isotherms.
4. Competitive Equilibrium Isotherms.
5. Transfer Phenomena in Chromatography.
6. Linear Chromatography.
7. Band Profiles of Single-Components with the Ideal Model.
8. Band Profiles of Two Components with the Ideal Model.
9. Band Profiles in Displacement Chromatography with the Ideal Model.
10. Single-­Component Profiles with the Equilibrium Dispersive Model.
11. Two-Component Band Profiles with the Equilibrium-Dispersive Model.
12. Frontal Analysis, Displacement and the Equilibrium-Dispersive Model.
13. System Peaks with the Equilibrium-Dispersive Model.
14. Kinetic Models and Single-Component Problems.
15. Gradient Elution Chromatography under Nonlinear Conditions.
16. Kinetic Models and Multicomponent Problems.
17. Simulated Moving Bed Chromatography.
18. Optimization of the Experimental Conditions.