In today’s podcast, Nobel Vale, Research Scientist at Bristol-Myers Squibb takes you through his presentation ‘Techniques for real-time monitoring of CHO Cell bioprocess.’
“Various methods have been developed to monitor cell metabolism in CHO upstream bioprocesses. We are currently evaluating the potential for these techniques to routinely support cell-line selection and process development DoEs. The spectroscopic technologies we used include Raman and Near-Infrared, along with capacitance measurements. Potential benefits from these techniques are the ability to have optimised feeding strategies, automated sampling procedures, improved temporal resolution of cell metabolism, and highly precise measurements. Commonly measured attributes in CHO upstream bioprocesses through sampling include nutrient and metabolite levels, protein production, and viable/total cell density. The ability for spectroscopic methods to resolve and predict different analytes online and offline will be described, as will the feasibility of using capacitance measurement to infer viable cell density. One unique aspect of this work is the development of preliminary models for prediction using standards developed offline. Calibrations developed using standards can accelerate the calibration process and potentially eliminate spurious correlations from the model that would otherwise occur during multiple bioreactor runs.
These technologies that accurately measure bioprocess data in real-time allow for further bioprocess optimisation and manipulation that would not have been possible through taking daily off-line samples for analysis. We can then characterise a bioprocess in greater detail, such as looking into glucose consumption based on viable cell density and concentrations of nutrients in bioprocesses such as glucose can also be tightly controlled to optimise protein production.”