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Soft sensor for monitoring biomass subpopulations in mammalian cell culture processes

Biomass subpopulations in mammalian cell culture processes cause impurities and influence productivity, which requires this critical process parameter to be monitored in real-time.For this reason, a novel soft sensor concept for estimating viable, dead and lysed cell concentration was developed, based on the robust and cheap in situ measurements of permittivity and turbidity in combination with a simple model. It could be shown that the turbidity measurements contain information about all investigated biomass subpopulations. The novelty of the developed soft sensor is the real-time estimation of lysed cell concentration, which is directly correlated to process-related impurities such as DNA and host cell protein in the supernatant. Based on data generated by two fed-batch processes the developed soft sensor is described and discussed.The presented soft sensor concept provides a tool for viable, dead and lysed cell concentration estimation in real-time with adequate accuracy and enables further applications with respect to process optimization and control.
- TU Wien Austria
- Polish Academy of Sciences Poland
- Institute of Chemical Engineering Poland
- TU Wien Austria
Cell Culture Techniques, Proteins, Apoptosis, Biosensing Techniques, CHO Cells, DNA, Models, Biological, Original Research Paper, Cricetulus, Animals, Biomass, Algorithms, Cell Proliferation
Cell Culture Techniques, Proteins, Apoptosis, Biosensing Techniques, CHO Cells, DNA, Models, Biological, Original Research Paper, Cricetulus, Animals, Biomass, Algorithms, Cell Proliferation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).25 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
