Bioprocess
- For a broad range of organisms and CHO cell types
- For most media compositions
The MPS is an optical sensor technology for the monitoring of multiple parameters in shake flasks.
As the central piece of sbi’s DOTS Platform, the MPS enables effortless online monitoring of multiple parameters in shake flasks. From dissolved oxygen (DO) and biomass monitoring to fluorescence detection – the MPS turns the standard shake flask into smart bioreactors.
Key Features
Benefits
For a broad range of shaking speeds and filling volumes
Bioprocess characterization
Cell Line/Strain Development, Characterization, and Selection
Collect critical process parameters for an informed upscaling process
Optimize process conditions with parameter-based feeding
Escherichia coli (E. coli), 200 rpm/25 mm, 10 % filling volume, 250 ml flask, 37°C
DOTS enables real-time monitoring of multiple parameters. Early IPTG inoculation (marked by the red triangle) is used to induce protein expression, showing that GFP expression is growth-coupled. By continuously monitoring these parameters online, researchers can gain insights into the dynamics of metabolic events occurring within the shake flask culture.
CHO Cell, 0.3 million cells / mL, Nalgene flask, 250 mL, 20% filling volume (50 mL), 150 rpm, 50 mm
Biomass for CHO cells demonstrates strong correlation with offline biomass measurements obtained via Total Cell Density (TCD) analysis. The MPS exhibits exceptional reproducibility when comparing data collected from two independent sensors (Flask 1 vs Flask 2), showcasing its consistency and robustness for process monitoring in bioprocess applications.
Each sensor plate is positioned in the adapter under the cultivation vessel and measures non-invasively through the vessel wall.
Several sensor plates can be connected to a single hub. The hub bundles the data from all monitored flasks and sends it to the DOTS Software.
The DOTS Software receives the data from the hub and visualizes relevant parameter data in real-time.
Manual sampling-based data is often not sufficient to fully understand the bioprocess. Offline sampling is complex and time consuming, resulting in lower measurement frequency with most pulls being at the start or the end of the experiment. This means that critical information from your growth phases are being overlooked, and could have a detrimental impact on your final product. Automated online measurements, on the other hand, never miss a moment. With a high resolution growth curve, you can detect bioprocess changes in real-time.