ArticleEngineering in life sciences2022
Applying intensified design of experiments to mammalian cell culture processes.
Article in Engineering in life sciences, 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, 11 citations in OpenAlex.
- Multivariate analysis of the effects of high seeding density on therapeutic protein production and sialylation in an intensified CHO cell culture process.Bioprocess and biosystems engineering · 2026Article
- Accelerated dynamic characterization of CHO semi-perfusion processes using intensified design of experiments.Bioprocess and biosystems engineering · 2026Article
- Influenza A Virus Production Following Quality by Design Principles.Engineering in life sciences · 2025Article
- Direct Consideration of Process History During Intensified Design of Experiments Planning Eases Interpretation of Mammalian Cell Culture Dynamics.Bioengineering (Basel, Switzerland) · 2025Article
- Applying intensified design of experiments to mammalian cell culture processes.Engineering in life sciences · 2022Article
- Specification-driven acceptance criteria for validation of biopharmaceutical processes.Frontiers in bioengineering and biotechnology · 2022Article
- Multivariate phase-dependent optimization of bioprocesses boosts performance and quality-Why timing (of exposure) matters.Biotechnology progressArticle
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The analysis of data collected using design of experiments (DoE) is the current gold standard to determine the influence of input parameters and their interactions on process performance and product quality. In early development, knowledge on the bioprocess of a new product is limited. Many input parameters need to be investigated for a thorough investigation. For eukaryotic cell cultures, intensified DoE (iDoE) has been proposed as efficient tool, requiring fewer bioreactor runs by introducing setpoint changes during the bioprocess. We report the first successful application of iDoE to mammalian cell culture, performing sequential setpoint changes in the growth phase for the selected input parameters temperature and dissolved oxygen. The process performance data were analyzed using ordinary least squares regression. Our results indicate iDoE to be applicable to mammalian bioprocesses and to be a cost-efficient option to inform modeling early on during process development. Even though only half the number of bioreactor runs were used in comparison to a classical DoE approach, the resulting models revealed comparable input-output relations. Being able to examine several setpoint levels within one bioreactor run, we confirm iDoE to be a promising tool to speed up biopharmaceutical process development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.