Search results for "doe" in Articles / App Notes
Article
Upstream PD Time-Saver: Optimize Early
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Optimization is key to achieving a high-producing CHO cell culture. Identify the right combination of culture medium, feed supplements, and feeding strategy …
Article
Faster Flavivirus Vaccine Production
Design of experiment (DoE) is an important part of the work. The approach helps determine which components in the media will have the most beneficial effect on cell growth. Surface Plasmon Resonance (…
Article
Leveraging Computational Models of Glycosylation for Biopharma QA
Examples of statistical models of TGP glycosylation are design of experiment (DoE) surface response models (23) and partial least squares regression (33,34). Advantages of statistical models are that …
Article
Optimization of Fed‑Batch Culture Conditions for a mAb‑Producing CHO Cell Line
Process development was supported by a design of experiment (DoE) approach to reduce the number of cultures required to infer valuable information on how certain feed combinations influence culture pe…
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Gain Efficiency in Process Development
The development of efficient manufacturing processes is a necessity for cost-effective production of biopharmaceuticals. By carefully designing and evaluating your experiments, sufficient informatio…
Article
Modeling Bioreactor Performance
In addition to modeling fluid dynamics, which only describes the physicochemical bioreactor performance, design-of-experiment (DoE) software packages can be used during development to determine proces…
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Tools for Continuous Bioprocessing Development
A paper from ETH Zurich (funded by Novartis) demonstrated that geometric similarity fundamentally does not allow for scale invariance (from 3 L to 15,000 L) of kLa, shear stress, and mixing time simul…
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Implications of Cell Culture Conditions on Protein Glycosylation
Thus, ‘Big-Data’ approaches allowing design-of-experiment (DoE) studies, in which multiple inter-reacting bioreactor conditions are evaluated simultaneously, are made possible. Such studies require th…
Article
High-Throughput Process Development in an Historical Environment
The workshop was followed by the plenary lecture given by Arne Staby of Novo Nordisk, in which he discussed mechanistic modelling versus – or complementing – Design of Experiments (DoE), and he also p…
Article
QbD and PAT in Upstream and Downstream Processing
BioPharm: Given the inherent variability in biologics manufacturing, how does QbD improve process understanding and control? What are the limitations of QbD in upstream bioprocessing?
McKnight (Ge…