Modeling For Preparative Chromatography


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Preparative Chromatography for Separation of Proteins


Preparative Chromatography for Separation of Proteins

Author: Arne Staby

language: en

Publisher: John Wiley & Sons

Release Date: 2017-02-02


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Preparative Chromatography for Separation of Proteins addresses a wide range of modeling, techniques, strategies, and case studies of industrial separation of proteins and peptides. • Covers broad aspects of preparative chromatography with a unique combination of academic and industrial perspectives • Presents Combines modeling with compliantce useing of Quality-by-Design (QbD) approaches including modeling • Features a variety of chromatographic case studies not readily accessible to the general public • Represents an essential reference resource for academic, industrial, and pharmaceutical researchers

Liquid Chromatography


Liquid Chromatography

Author: T. Fornstedt

language: en

Publisher: Elsevier Inc. Chapters

Release Date: 2013-01-08


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Preparative chromatography is today the best generic method for the purification of small drugs and valuable chemical components at the

Modeling for Preparative Chromatography


Modeling for Preparative Chromatography

Author: Georges Guiochon

language: en

Publisher: Academic Press

Release Date: 2003-05-19


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Nonlinear chromatography is a field that borders both chemical engineering and physical chemistry. In turn, the theory of nonlinear chromatography is the foundation of preparative chromatography, a separation process that has lately become of considerable interest in the pharmaceutical industry. Only chromatography is sufficiently flexible and powerful to satisfy the practical requirements encountered in most difficult separations of pharmaceuticals and pharmaceutical intermediates. Since "nonlinear" behaviour is strictly a mathematical concept, it is difficult to leave mathematics out of any fundamental study of nonlinear chromatography. Therefore, Modeling for Preparative Chromatography will describe the different mathematical models of chromatography, examine the assumptions on which they are based, consider their properties, and discuss their solutions. All this will be done from a mathematical analysis point of view, paying considerable attention to the influence of nonlinear behavior on the results. Clear and simple discussions of the basic physico-chemical phenomena involved in HPLC Clear and complete presentation of the relevant properties of the mathematical tools involved Detailed analysis of nonlinear effects