Simulating and optimizing preparative protein chromatography with ChromX

ABSTRACT: Industrial purification of biomolecules is commonly based on a sequence of chromatographic processes, which are adapted slightly to new target components, as the time to market is crucial. To improve time and material efficiency, modeling is increasingly used to determine optimal operating...

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Hauptverfasser: Hahn, Tobias (VerfasserIn) , Huuk, Thiemo (VerfasserIn) , Heuveline, Vincent (VerfasserIn) , Hubbuch, Jürgen (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: June 23, 2015
In: Journal of chemical education
Year: 2015, Jahrgang: 92, Heft: 9, Pages: 1497-1502
ISSN:1938-1328
DOI:10.1021/ed500854a
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://pubs.acs.org/doi/10.1021/ed500854a
Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1021/ed500854a
Volltext
Verfasserangaben:Tobias Hahn, Thiemo Huuk, Vincent Heuveline, and Jürgen Hubbuch

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520 |a ABSTRACT: Industrial purification of biomolecules is commonly based on a sequence of chromatographic processes, which are adapted slightly to new target components, as the time to market is crucial. To improve time and material efficiency, modeling is increasingly used to determine optimal operating conditions, thus providing new challenges for current and future bioengineers. At the Karlsruhe Institute of Technology (KIT), mechanistic modeling of protein chromatography has long been part of the curriculum of the Bioengineering master’s degree program, supported by exercises using simulation software. Emphasis lies on nonlinear preparative chromatography, where the result strongly depends on the sample concentration. For undergraduate students to gain hands-on experience in model-based optimization, a three-week, in-depth laboratory course was designed on the purification of a ternary mixture of proteins using ion-exchange chromatography and mechanistic modeling. Students apply in-house software ChromX, which is made available for download, together with tutorials on numerics and practical applications. This article presents the working principle of ChromX and results of the laboratory course for undergraduate students. 
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