ArticleBiotechnology progress
A novel approach for using dielectric spectroscopy to predict viable cell volume (VCV) in early process development.
Article in Biotechnology progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Dual-Similarity Driven Just-in-Time Modeling Enables Precise Real-Time Monitoring of Cell Cultures via Dielectric Spectroscopy.Biotechnology journal · 2026Article
- Online capacitance-integrated development of a hybrid bioprocess model for industrial fungal fermentations.Frontiers in bioengineering and biotechnology · 2026Article
- Article
- Anomaly detection and removal strategies for in-line permittivity sensor signal used in bioprocesses.Frontiers in bioengineering and biotechnology · 2025Article
- Plasma-liquid interactions in the presence of organic matter-A perspective.Journal of applied physics · 2024Article
- Online deployment of an O-PLS model for dielectric spectroscopy-based inline monitoring of viable cell concentrations in Chinese hamster ovary cell perfusion cultivations.Engineering in life sciences · 2023Article
- Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring.Bioengineering (Basel, Switzerland) · 2022Review
- Absorption Spectra Description for T-Cell Concentrations Determination and Simultaneous Measurements of Species during Co-Cultures.Sensors (Basel, Switzerland) · 2022Article
- Intravascular, Interstitial and Intracellular Volume Changes During Short Term Deep Tissue Massage of the Calf: A Case Study.Journal of electrical bioimpedance · 2022Article
- Multivariate data analysis of capacitance frequency scanning for online monitoring of viable cell concentrations in small-scale bioreactors.Analytical and bioanalytical chemistry · 2020Article
- Monitoring online biomass with a capacitance sensor during scale-up of industrially relevant CHO cell culture fed-batch processes in single-use bioreactors.Bioprocess and biosystems engineering · 2020Article
- A system identification approach for developing model predictive controllers of antibody quality attributes in cell culture processes.Biotechnology progress · 2017Article
- Sensors for disposable bioreactors.Engineering in life sciences · 2017Review
- Advances in recombinant antibody manufacturing.Applied microbiology and biotechnology · 2016Review
- A recurrent neural network for soft sensor development using CHO stable pools in fed-batch process for SARS-CoV-2 spike protein production as a vaccine antigen.Biotechnology progressArticle
- 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
- CHO stable pool fed-batch process development of SARS-CoV-2 spike protein production: Impact of aeration conditions and feeding strategies.Biotechnology progressArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Online monitoring of viable cell volume (VCV) is essential to the development, monitoring, and control of bioprocesses. The commercial availability of steam-sterilizable dielectricspectroscopy probes has enabled successful adoption of this technology as a key noninvasive method to measure VCV for cell-culture processes. Technological challenges still exist, however. For some cell lines, the technique’s accuracy in predicting the VCV from probepermittivity measurements declines as the viability of the cell culture decreases. To investigate the cause of this decrease in accuracy, divergences in predicted vs. actual VCV measurements were directly related to the shape of dielectric frequency scans collected during a cell culture. The changes in the shape of the beta dispersion, which are associated with changes in cell state, are quantified by applying a novel “area ratio” (AR) metric to frequency-scanning data from the dielectric-spectroscopy probes. The AR metric is then used to relate the shape of the beta dispersion to single-frequency permittivity measurements to accurately predict the offline VCV throughout an entire fed-batch run, regardless of cell state. This work demonstrates the possible feasibility of quantifying the shape of the beta dispersion, determined from frequency-scanning data, for enhanced measurement of VCV in mammalian cell cultures by applying a novel shape-characterization technique. In addition, this work demonstrates the utility of using changes in the shape of the beta dispersion to quantify cell health.
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