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A multisensor approach for improved protein A load phase monitoring by conductivity-based background subtraction of UV spectra [in press]

Rolinger, Laura; Rüdt, Matthias; Hubbuch, Jürgen

Abstract:
Real‐time monitoring and control of protein A capture steps by process analytical technologies (PATs) promises significant economic benefits due to the improved usage of the column's binding capacity, by eliminating time‐consuming off‐line analytics and costly resin lifetime studies, and enabling continuous production. The PAT method proposed in this study relies on ultraviolet (UV) spectroscopy with a dynamic background subtraction based on the leveling out of the conductivity signal. This point in time can be used to collect a reference spectrum for removing the majority of spectral contributions by process‐related contaminants. The removal of the background spectrum facilitates chemometric model building and model accuracy. To demonstrate the benefits of this method, five different feedstocks from our industry partner were used to mix the load material for a case study. To our knowledge, such a large design space, which covers possible variations in upstream condition besides the product concentration, has not been disclosed yet. By applying the conductivity‐based background subtraction, the root mean square error of prediction (RMSEP) of the partial least squares (PLS) model improved from 0.2080 to 0.0131 gL-1. ... mehr

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Zugehörige Institution(en) am KIT Institut für Bio- und Lebensmitteltechnik (BLT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 0006-3592, 0368-1467, 1097-0290, 1547-173X
KITopen-ID: 1000127670
Erschienen in Biotechnology & bioengineering
Verlag Wiley
Vorab online veröffentlicht am 05.11.2020
Schlagwörter antibody quantification, capture step, partial least squares regression, process analyticaltechnology, protein A chromatography
Nachgewiesen in Scopus
Web of Science
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