Early-Stage In Silico Flowsheet Analysis for a Monoclonal Antibody Platform

Johann Kaiser*, Deenesh K. Babi, Manuel Pinelo, Ulrich Krühne

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

In silico frameworks have the potential to improve experimentally designed processes for monoclonal antibody (mAb) manufacturing. In this paper, a framework for the analysis of mAb process alternatives is presented with the objective of realizing process improvements from a flowsheet perspective. The key elements of the proposed method include the generation and decomposition of the design space, the formulation of a flowsheet model, and the simulation and evaluation of alternative designs. An example of an evaluation of a new technology step in mAb manufacturing is given to demonstrate the application of the framework and to illustrate how the design problem is solved using the proposed step-by-step procedure. The methodical approach provides the opportunity to systematically and quantitatively evaluate the impact of different design decisions before selecting a final design. Therefore, it supports the finding of improved process designs that may be ignored using conventional experiment-based methods and sequential optimization of processing steps.

Original languageEnglish
JournalChemical Engineering Research and Design
Volume182
Pages (from-to)448-464
ISSN0263-8762
DOIs
Publication statusPublished - 2022

Keywords

  • In silico process design
  • Flowsheet analysis
  • Flowsheet model
  • Discrete-event simulation
  • Monoclonal antibody
  • Capacity analysis

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