Breakthrough in Bioprocess Optimisation For Biologicals

Microscopy & microtechniques

Breakthrough in Bioprocess Optimisation For Biologicals

03 Oct, 2011

Published over 14 years ago. See the latest and most current information on Microscopy & microtechniques.

For new biologicals and biosimilars, the innovative Spedia-NMR™ technology from Spinnovation Biologics provides a real advantage for optimising cell cultures, monitoring and standardising manufacturing processes in preparation for larger scale production. Within the past four months, this has been validated by 37 companies developing biologics or

delivering services to this industry.

This premium nuclear magnetic resonance (NMR) analysis service rapidly identifies a wide selection of feed components, metabolites and toxic compounds in culture media. By comparing media profiles from different

cell culture batches, Spedia-NMR™ identifies how a cell consumes and metabolises the media along the culture process. This allows the composition of the media to be fine-tuned to improve cell viability, reach highest yields of biologic product and perform rapid process troubleshooting.

Spedia-NMR™ technology has gained rapid popularity in both the biotech research and manufacturing communities because of the speed of analysis (analyse in a matter of minutes/hours, delivery of service within five working days) and the valuable information it provides in assisting process development.

Spedia-NMR™ technology is available on a fee-for-sample or as a contract service to all biotech. Users range from medium to large biotech companies and some academic clients use this specialist service in their protein

therapeutics research. The true adaptability of Spedia-NMR™ analysis has led to its application across a range of cell systems and production platforms including: CHO, stem cells and virus production platforms.

Spedia-NMR™ is designed to perform rapid, high throughput analyses of cell culture media batches and feed-batches in a very cost-efficient manner, using fully automated sample analysis and data processing.

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