Model-based optimization of integrated purification sequences for biopharmaceuticals

Journal Article (2019)
Author(s)

Silvia M. Pirrung (TU Delft - Applied Sciences)

Carmen Berends (Student TU Delft)

Antoon H. Backx (Student TU Delft)

Ruud F.W.C. van Beckhoven (DSM)

Michel H.M. Eppink (Synthon Biopharmaceuticals B.V.)

Marcel Ottens (TU Delft - Applied Sciences)

Research Group
BT/Bioprocess Engineering
DOI related publication
https://doi.org/10.1016/j.cesx.2019.100025 Final published version
More Info
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Publication Year
2019
Language
English
Research Group
BT/Bioprocess Engineering
Volume number
3
Article number
100025
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268
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Institutional Repository
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Abstract

Finding the best purification process is a challenging task. Recently, mechanistic models that can accelerate the development of chromatographic unit operations, the most important purification units, became widely available. In previous work, several chromatographic models have been linked together to simulate and optimize integrated processes. However, considering only chromatographic steps may lead to a suboptimal process. Consequently, the aim of this study was to include models for ultra- and diafiltration units into the optimization approach to account for buffer exchange steps before or between chromatography units. This approach was applied to an industrial case, the purification of a monoclonal antibody, where cation exchange, hydrophobic interaction and mixed mode were the possible chromatographic separation modes. It turned out that only the duration of the total filtration step and the duration of the ultrafiltration step were crucial variables for the optimization of the ultra- and diafiltration steps. The ‘best’ in silico purification process was found based on the performance criteria yield and solvent usage. The purity was required to be at least 99.9%.