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Universal Capacitance Model for Real-Time Biomass in Cell Culture
Open accessAbstract
: Capacitance probes have the potential to revolutionize bioprocess control due to their safe and robust use and ability to detect even the smallest capacitors in the form of biological cells. Several techniques have evolved to model biomass statistically, however, there are problems with model transfer between cell lines and process conditions. Errors of transferred models in the declining phase of the culture range for linear models around +100% or worse, causing unnecessary delays with test runs during bioprocess development. The goal of this work was to develop one single universal model which can be adapted by considering a potentially mechanistic factor to estimate biomass in yet untested clones and scales. The novelty of this work is a methodology to select sensitive frequencies to build a statistical model which can be shared among fermentations with an error between 9% and 38% (mean error around 20%) for the whole process, including the declining phase. A simple linear factor was found to be responsible for the transferability of biomass models between cell lines, indicating a link to their phenotype or physiology.
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In situ capacitance sensors only measure viable cell density and cannot measure total cell concentration or viability.
“However, these sensors only measure the viable cell density and cannot measure the total cell concentration or the viability.”
From Non-invasive real-time monitoring of cell concentration and viability using Doppler ultrasound. (2022) · cites this paper as [16]
The Results and Discussion (§3.1; page unavailable) say capacitance tracks viable cell count better than total cell count after cells begin dying, and that the probe is suited to detect viable cells selectively. The Experimental Section (§2.1.4; page unavailable) says total cell concentration and viability were measured with a separate cell counter. These passages support the distinction, but not the categorical claim that capacitance sensors cannot measure total cell concentration or viability. (LLM, conf=0.86)
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Metadata
- Authors
- Konakovsky, V., Yagtu, A., Clemens, C., Müller, M., Berger, M., Schlatter, S., & Herwig, C.
- Affiliations
- TU Wien (AT)
- Boehringer Ingelheim (Germany) (DE)
- Corresponding author
- Herwig, Christoph
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2015-09-02
- Volume
- 15
- Issue
- 9
- Pages
- 22128-22150
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC4610510
- OpenAlex
- W1759751780
- Cited by
- 41
- References
- 42
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 1 · 2023: 5 · 2022: 6 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 5 · 2017: 3 · 2016: 2
- FWCI
- 1.60
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Microwave and Dielectric Measurement Techniques
- Physical Sciences › Physics and Astronomy › Instrumentation › Sensor Technology and Measurement Systems
- Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Fluid Dynamics and Mixing
- Keywords
- capacitance probe, biomass estimation, cell culture, bioprocess control, model transferability, frequency selection, linear models, mechanistic model, cell lines, real-time monitoring
- MeSH terms
- Animals, Cricetulus, Cricetinae, Models, Biological, Models, Statistical, CHO Cells, Biomass, Cell Culture Techniques, Electric Capacitance
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