ArticleFrontiers in bioengineering and biotechnology2022
Model-based intensification of CHO cell cultures: One-step strategy from fed-batch to perfusion.
Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Model-Enabled Knowledge Transfer Across Cell Lines, Culture Scales and Conditions.Biotechnology and bioengineering · 2026Article
- Mechanistic model for HEK293 viral vector processes and its application in a digital shadow framework.Bioprocess and biosystems engineering · 2026Article
- Overcoming the limits of traditional rate calculations from sparse concentration data: a probabilistic framework for bioprocess modeling.Bioprocess and biosystems engineering · 2026Article
- A Hybrid Modeling Framework for Predictive Digital Twins of CHO Cell Culture.Computational and structural biotechnology journal · 2026Article
- Time-Resolved Hierarchical Modeling Highlights Metabolites Influencing Productivity and Cell Death in Chinese Hamster Ovary Cells.Biotechnology journal · 2025Article
- N-1 semi-continuous transient perfusion in shake flask for ultra-high density seeding of CHO cell cultures in benchtop bioreactors.Biotechnology progressArticle
- Hybrid modeling for in silico optimization of a dynamic perfusion cell culture process.Biotechnology progressArticle
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Authors and funding
6 authors.
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Abstract
There is a growing interest in continuous processing of the biopharmaceutical industry. However, the technology transfer from traditional batch-based processes is considered a challenge as protocol and tools still remain to be established for their usage at the manufacturing scale. Here, we present a model-based approach to design optimized perfusion cultures of Chinese Hamster Ovary cells using only the knowledge captured during small-scale fed-batch experiments. The novelty of the proposed model lies in the simplicity of its structure. Thanks to the introduction of a new catch-all variable representing a bulk of by-products secreted by the cells during their cultivation, the model was able to successfully predict cellular behavior under different operating modes without changes in its formalism. To our knowledge, this is the first experimentally validated model capable, with a single set of parameters, to capture culture dynamic under different operating modes and at different scales.
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