Automized inline monitoring in perfused mammalian cell culture by MIR spectroscopy without calibration model building

• Published in: Engineering in life sciences Vol. 24; no. 3; pp. e2300237 - n/a
• Main Authors: Marienberg, Hannah, Desch, Nicole, Mozin, Vitalii, Sykora‐Mirle, Lorenz, Müller, Anja, Roth, Andreas, Käfer, Mathias, Neef, Rüdiger
• Format: Journal Article
• Language: English
• Published: Germany John Wiley & Sons, Inc 01.03.2024; John Wiley and Sons Inc; Wiley-VCH
• Subjects: analytics; Automation; Biopharmaceuticals; Bioreactors; Calibration; Cell culture; CHO; Data analysis; Glucose; Infrared spectroscopy; Lactic acid; Mammals; Mathematical models; Mean square errors; Metabolites; Methods; MIR; Model accuracy; Monitoring; Ovaries; PAT; perfusion; Product quality; Raman spectroscopy; Regression analysis; Root-mean-square errors; Sensors; spectroscopy; Spectrum analysis; United States > US; analytics; PAT; perfusion; CHO; spectroscopy; MIR
• ISSN: 1618-0240; 1618-2863; 1618-2863
• DOI: 10.1002/elsc.202300237

Process Analytical Technologies (PATs) are taking a key role in the run for automatization in the biopharmaceutical industry. Spectroscopic methods such as Raman spectroscopy or mid‐infrared (MIR) spectroscopy are getting more recognition in the recent years for inline monitoring of bioprocesses due to their ability to measure various molecules simultaneously. However, their dependency on laborious model calibration making them a challenge to implement. In this study, a novel one‐point calibration that requires a single reference point prior to the inline monitoring of glucose and lactate in bioprocesses with MIR spectroscopy is assessed with 22 mammalian cell perfusion (PER) processes in two different scales and four different products. Concentrations are predicted over all PERs runs with a root mean square error (RMSE) of 0.29 g/L for glucose and 0.24 g/L for lactate, respectively. For comparison conventional partial least square regression (PLSR) models were used and trained with spectroscopic data from six bioreactor runs in two different scales and three products. The general accuracy of those models (RMSE of 0.41 g/L for glucose and 0.16 g/L for lactate) are in the range of the accuracy of the one‐point calibration. This shows the potential of the one‐point calibration as an approach making spectroscopy more accessible for bioprocess development.