Raman spectroscopic based chemometric models to support a dynamic capacitance based cell culture feeding strategy

Multiple process analytical technology (PAT) tools are now being applied in tandem for cell culture. Research presented used two in-line probes, capacitance for a dynamic feeding strategy and Raman spectroscopy for real-time monitoring. Data collected from eight batches at the 15,000 L scale were us...

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Bibliographic Details
Published in:Bioprocess and biosystems engineering 2020-08, Vol.43 (8), p.1415-1429
Main Authors: Rafferty, Carl, O’Mahony, Jim, Rea, Rosemary, Burgoyne, Barbara, Balss, Karin M., Lyngberg, Olav, O’Mahony-Hartnett, Caitlin, Hill, Dan, Schaefer, Eugene
Format: Article
Language:English
Subjects:
Biotechnology
Capacitance
Cell culture
Cell density
Cell size
Chemistry
Chemistry and Materials Science
Datasets
Environmental Engineering/Biotechnology
Food Science
Industrial and Production Engineering
Industrial Chemistry/Chemical Engineering
Raman spectroscopy
Research Paper
Spectroscopy
Spectrum analysis
Strategy
Technology assessment
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Summary:Multiple process analytical technology (PAT) tools are now being applied in tandem for cell culture. Research presented used two in-line probes, capacitance for a dynamic feeding strategy and Raman spectroscopy for real-time monitoring. Data collected from eight batches at the 15,000 L scale were used to develop process models. Raman spectroscopic data were modelled using Partial Least Squares (PLS) by two methods—(1) use of the full dataset and (2) split the dataset based on the capacitance feeding strategy. Root mean square error of prediction (RMSEP) for the first model method of capacitance was 1.54 pf/cm and the second modelling method was 1.40 pf/cm. The second Raman method demonstrated results within expected process limits for capacitance and a 0.01% difference in total nutrient feed compared to the capacitance probe. Additional variables modelled using Raman spectroscopy were viable cell density (VCD), viability, average cell diameter, and viable cell volume (VCV).
ISSN:1615-7591
1615-7605
DOI:10.1007/s00449-020-02336-2