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Optimal model‐based design of the twin‐column CaptureSMB process improves capacity utilization and productivity in protein A affinity capture
Author(s) -
Baur Daniel,
Angarita Monica,
MüllerSpäth Thomas,
Morbidelli Massimo
Publication year - 2016
Publication title -
biotechnology journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.144
H-Index - 84
eISSN - 1860-7314
pISSN - 1860-6768
DOI - 10.1002/biot.201500223
Subject(s) - productivity , column (typography) , process (computing) , capacity utilization , chemistry , computer science , process engineering , computational biology , biology , engineering , economics , macroeconomics , microeconomics , telecommunications , frame (networking) , operating system
Multi‐column chromatographic processes have recently been developed for protein A affinity chromatography to efficiently capture monoclonal antibodies from cell culture supernatant. In this work, the novel twin‐column CaptureSMB process was compared to a batch capture process with dual loading flow rate to identify performance gains. As a case study, the isolation of a monoclonal antibody with the Amsphere JWT‐203 protein A resin was investigated. Using model based optimization, both processes were optimized and compared over a wide range of operating conditions. A trade‐off between productivity and capacity utilization was found, and the resulting pareto‐curves showed that CaptureSMB dominates batch, except at very low productivity values. With a feed titer of 1.2 mg mL −1 , CaptureSMB could reach a productivity of up to 19.5 mg mL −1 h −1 experimentally, while maintaining relatively high capacity utilization of 63.8%. On the other hand, at maximum capacity utilization of 95.5%, a productivity of 10.2 mg mL −1 h −1 could be reached. This corresponds to a performance improvement with respect batch operation of about 25% in capacity utilization and 40% in productivity, for given yield and purity. CaptureSMB therefore offers a greatly increased performance over batch capture.

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