Computational fluid dynamics modeling for fermentation risk reduction during technology transfer and risk understanding
2018
- 76Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage76
- Abstract Views76
Abstract Description
Computational Fluid Dynamics modeling and in-depth scaling calculations have been utilized in partnership to generate data to support equipment design and facility fit during commercialization of a fermentation and primary recovery process for a vaccine candidate across multiple technical transfers. This analysis utilizing representative computer models for tank configurations, supplemented with traditional computational scaling approaches (ungassed P/V, gassed P/V, kLa, etc.), ensures full knowledge of a tank’s mixing and oxygen transfer capabilities allowing process understanding and robust manufacturing across technology transfer to multiple sites. Implementation of this approach across process steps as well as manufacturing sites allows increased knowledge prior to use in a process and/or prior to construction of a new vessel, therefore contributing to successful process transfer with reduced risks upon scale-up/scale-down and new facility introductions.
Bibliographic Details
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