ArticleBiotechnology letters2017
Soft sensor for monitoring biomass subpopulations in mammalian cell culture processes.
Article in Biotechnology letters, 2017. 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.
- An Overview of Software Sensor Applications in Biosystem Monitoring and Control.Sensors (Basel, Switzerland) · 2024Review
- A Fermentation State Marker Rule Design Task in Metabolic Engineering.Bioengineering (Basel, Switzerland) · 2023Article
- Monte Carlo-Based Error Propagation for a More Reliable Regression Analysis across Specific Rates in Bioprocesses.Bioengineering (Basel, Switzerland) · 2021Article
- Real-time and on-line monitoring of ethanol fermentation process by viable cell sensor and electronic nose.Bioresources and bioprocessing · 2021Article
- Digital Twins in Biomanufacturing.Advances in biochemical engineering/biotechnology · 2021Article
- Dielectric Spectroscopy and Optical Density Measurement for the Online Monitoring and Control of Recombinant Protein Production in Stably Transformed Drosophila melanogaster S2 Cells.Sensors (Basel, Switzerland) · 2018Article
- Process Analytical Technology for Advanced Process Control in Biologics Manufacturing with the Aid of Macroscopic Kinetic Modeling.Bioengineering (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
objectivesBiomass subpopulations in mammalian cell culture processes cause impurities and influence productivity, which requires this critical process parameter to be monitored in real-time.
resultsFor 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.
conclusionsThe 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.
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Registered trials
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