ArticleBioprocess and biosystems engineering2020
Monitoring online biomass with a capacitance sensor during scale-up of industrially relevant CHO cell culture fed-batch processes in single-use bioreactors.
Article in Bioprocess and biosystems engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Capacitance Technology Enables Automated Feeding, Improved Expansion, and Higher Throughput of CAR-T Cell Stirred-Tank Bioreactor Cultures.Biotechnology journal · 2026Article
- Bioprocess Engineering for Cultivated Meat.Advances in biochemical engineering/biotechnology · 2026Review
- Real-Time VCC Monitoring and Forecasting in HEK-Cell-Based rAAV Vector Production Using Capacitance Spectroscopy.Engineering in life sciences · 2025Article
- Defining Golden Batches in Biomanufacturing Processes From Internal Metabolic Activity to Detect Process Changes That May Affect Product Quality.Biotechnology and bioengineering · 2025Article
- Anomaly detection and removal strategies for in-line permittivity sensor signal used in bioprocesses.Frontiers in bioengineering and biotechnology · 2025Article
- Single-Use, Metabolite Absorbing, Resonant Transducer (SMART) Culture Vessels for Label-Free, Continuous Cell Culture Progression Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Article
- Mammalian Cell-Growth Monitoring Based on an Impedimetric Sensor and Image Processing within a Microfluidic Platform.Sensors (Basel, Switzerland) · 2023Article
- Towards advanced bioprocess optimization: A multiscale modelling approach.Computational and structural biotechnology journal · 2023Article
- Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem.Frontiers in bioengineering and biotechnology · 2023Article
- Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring.Bioengineering (Basel, Switzerland) · 2022Review
- Development of process analytical tools for rapid monitoring of live virus vaccines in manufacturing.Scientific reports · 2022Article
- N-1 Perfusion Platform Development Using a Capacitance Probe for Biomanufacturing.Bioengineering (Basel, Switzerland) · 2022Article
- High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling.Stem cells translational medicine · 2021Article
- Cultivating Multidisciplinarity: Manufacturing and Sensing Challenges in Cultured Meat Production.Biology · 2021Review
- Implementation of QbD strategies in the inoculum expansion of a mAb production process.Engineering in life sciences · 2021Article
- Development of Novel Bioreactor Control Systems Based on Smart Sensors and Actuators.Frontiers in bioengineering and biotechnology · 2020Review
- Minimizing batch-to-batch variability of a live virus vaccine by process analytical technologies.Biotechnology progressArticle
- Sensitivity of bulk electrical impedance spectroscopy (bio-capacitance) probes to cell and culture properties: Study on CHO cell cultures.Biotechnology progressArticle
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5 authors.
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Abstract
In 2004, the FDA published a guideline to implement process analytical technologies (PAT) in biopharmaceutical processes for process monitoring to gain process understanding and for the control of important process parameters. Viable cell concentration (VCC) is one of the most important key performance indicator (KPI) during mammalian cell cultivation processes. Commonly, this is measured offline. In this work, we demonstrated the comparability and scalability of linear regression models derived from online capacitance measurements. The linear regressions were used to predict the VCC and other familiar offline biomass indicators, like the viable cell volume (VCV) and the wet cell weight (WCW), in two different industrially relevant CHO cell culture processes (Process A and Process B). Therefore, different single-use bioreactor scales (50-2000 L) were used to prove feasibility and scalability of the in-line sensor integration. Coefficient of determinations of 0.79 for Process A and 0.99 for Process B for the WCW were achieved. The VCV was described with high coefficients of determination of 0.96 (Process A) and 0.98 (Process B), respectively. In agreement with other work from the literature, the VCC was only described within the exponential growth phase, but resulting in excellent coefficients of determination of 0.99 (Process A) and 0.96 (Process B), respectively. Monitoring these KPIs online using linear regression models appeared to be scale-independent, enabled deeper process understanding (e.g. here demonstrated in monitoring, the feeding profile) and showed the potential of this method for process control.
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