ArticleCytotechnology2012
Increasing batch-to-batch reproducibility of CHO-cell cultures using a model predictive control approach.
Article in Cytotechnology, 2012. 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.
- Strain and model development for auto- and heterotrophic 2,3-butanediol production using Cupriavidus necator H16.Biotechnology for biofuels and bioproducts · 2024Article
- Unveiling the potential of specific growth rate control in fed-batch fermentation: bridging the gap between product quantity and quality.World journal of microbiology & biotechnology · 2024Review
- Adaptive control of theComputational and structural biotechnology journal · 2023Article
- Towards advanced bioprocess optimization: A multiscale modelling approach.Computational and structural biotechnology journal · 2023Article
- A system identification approach for developing model predictive controllers of antibody quality attributes in cell culture processes.Biotechnology progress · 2017Article
- Impact of cell lysis on the description of cell growth and death in cell culture.Engineering in life sciences · 2017Article
- A control strategy to investigate the relationship between specific productivity and high-mannose glycoforms in CHO cells.Applied microbiology and biotechnology · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
By means of a model predictive control strategy it was possible to ensure a high batch-to-batch reproducibility in animal cell (CHO-cell) suspensions cultured for a recombinant therapeutic protein (EPO) production. The general control objective was derived by identifying an optimal specific growth rate taking productivity, protein quality and process controllability into account. This goal was approached indirectly by controlling the oxygen mass consumed by the cells which is related to specific biomass growth rate and cell concentration profile by manipulating the glutamine feed rate. Process knowledge represented by a classical model was incorporated into the model predictive control algorithm. The controller was employed in several cultivation experiments. During these cultivations, the model parameters were adapted after each sampling event to cope with changes in the process' dynamics. The ability to predict the state variables, particularly for the oxygen consumption, led to only moderate changes in the desired optimal operational trajectories. Hence, nearly identical oxygen consumption profiles, cell and protein titers as well as sialylation patterns were obtained for all cultivation runs.
Identifiers
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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.