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High throughput screening based selection of phases for aqueous two-phase system-centrifugal partitioning chromatography of monoclonal antibodies

Oelmeier, Stefan 1; Ladd Effio, Christopher 2; Hubbuch, Jürgen ORCID iD icon 1
1 Institut für Bio- und Lebensmitteltechnik (BLT), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)

Abstract:

Aqueous two-phase systems have been demonstrated to be a possible alternative to chromatographic separations during the industrial purification of proteins. While convenient high throughput screening methods were shown to drastically reduce experimental effort for the evaluations of ATPS as a unit operation, the selection of which phases to investigate is currently guided largely by prior knowledge. Correlations between protein descriptors and distribution were found, but the general applicability of such correlations especially under conditions of high protein load, is questionable, as currently no correlations take the saturation of the phases with protein into account. In this manuscript, we demonstrate how precipitation experiments using the phase forming components can guide the selection of both system type and tieline length for the purification of monoclonal antibodies. Phase selection and process development time can thus be significantly reduced, as all the necessary precipitation, binodal, and tieline experiments can be conducted within one day. Good qualitative correlations between precipitation data and both distribution and recovery of the target molecule were found. ... mehr


Originalveröffentlichung
DOI: 10.1016/j.chroma.2012.06.075
Scopus
Zitationen: 37
Web of Science
Zitationen: 37
Dimensions
Zitationen: 37
Zugehörige Institution(en) am KIT Institut für Bio- und Lebensmitteltechnik (BLT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2012
Sprache Englisch
Identifikator ISSN: 0021-9673
KITopen-ID: 1000046596
Erschienen in Journal of Chromatography A
Verlag Elsevier
Band 1252
Seiten 104-114
Nachgewiesen in Scopus
Dimensions
Web of Science
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