Cell-Free Modeling Approach For Efficient Cell Culture Monitoring Using Raman Spectroscopy

Before implementing real-time monitoring, a large amount of spectral data must be collected in order to develop robust and reliable calibration models. The model-building phase can take several months and incur significant costs, depending on the process. The Raman spectral fingerprints obtained during cell cultures, along with the biochemical complexity of these processes, impact the reliability and specificity of models developed using traditional, time-consuming, and expensive methods. This can hinder the adoption of Raman technology in the industry.

In this application note, a novel modeling method with significant advantages over traditional approaches is introduced. The methodology uses cell-free cell culture media spiked with varying concentrations of the compounds of interest for real-time measurement. By utilizing chemometric methods, models are built to measure these compounds across multiple runs of a fed-batch Chinese Hamster Ovary (CHO) mAb-producing cell culture process.