Comparison of mechanistic and hybrid modeling approaches for characterization of a CHO cultivation process: Requirements, pitfalls and solution paths

Despite the advantages of mathematical bioprocess modeling, successful model implementation already starts with experimental planning and accordingly can fail at this early stage. For this study, two different modeling approaches (mechanistic and hybrid) based on a four-dimensional antibody-producing CHO fed-batch process are compared. Overall, 33 experiments are performed in the fractional factorial four-dimensional design space and separated into four different complex data partitions subsequently used for model comparison and evaluation. The mechanistic model demonstrates the advantage of prior knowledge (i.e., known equations) to get informative value relatively independently of the utilized data partition. The hybrid approach displayes a higher data dependency but simultaneously yielded a higher accuracy on all data partitions. Furthermore, our results demonstrate that independent of the chosen modeling framework, a smart selection of only four initial experiments can already yield a very good representation of a full design space independent of the chosen modeling structure. Academic and industry researchers are recommended to pay more attention to experimental planning to maximize the process understanding obtained from mathematical modeling.

Subjects

bioprocess characterization

Chinese hamster ovary cells

design of experiments

machine learning

mechanistic modelling

parameter identification

quality by design

upstream bioprocessing

DDC Class

570: Biowissenschaften, Biologie

Funding(s)

Projekt DEAL

Funding Organisations

Bundesministerium für Bildung und Forschung (BMBF)

More Funding Information

Johannes Möller and Ralf Pörtner acknowledge partial funding by the German Federal Ministry of Education and Research (BMBF, Grant 031B0577A-C).

Publication version

publishedVersion

Lizenz

https://creativecommons.org/licenses/by-nc/4.0/

Name

Biotechnology Journal - 2022 - Bayer - Comparison of mechanistic and hybrid modeling approaches for characterization of a.pdf

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1.19 MB

Format

Adobe PDF

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Comparison of mechanistic and hybrid modeling approaches for characterization of a CHO cultivation process: Requirements, pitfalls and solution paths