Methods and/or platforms for improving bioprocessing consistency and efficiency
The goal of this project is to evaluate and validate Matterworks’ Pyxis metabolomics platform to improve bioprocessing consistency and efficiency.
1.Demonstrated that Pyxis could be used to track the rise and fall of the absolute concentration of key metabolites in both the media samples and cells over the typical operating cycle of a bioreactor.
2.Demonstrated that the absolute concentration data from Pyxis is comparable to that obtained using traditional LC-MS techniques, meaning that for 80% of the 30 analytes it delivered concentrations which were within 30% the accepted standards. Unlike the orthogonal technique, however, Pyxis concentrations can be obtained rapidly by non experts.
3.Demonstrated that there were some observed concentration differences between typical bioreactors and those in which there were forced deviations – but did not fully demonstrate that such changes could be used to predict outcome.
Develop Pyxis as a proprietary consumable kit that fits seamlessly into current LCMS workflows and automated data processing enable the analysis of cell lysates and media
Explore using Pyxis for early detection and monitoring of glycosylation activity impacting glycoform profiles and process excursions
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Matterworks, Inc.
Eli Lilly and Company
Sartorius Stedim
