There are key factors that differentiate performing a DOE experiment at Culture from running it using internal bioreactor capacity. These factors each contribute to high success rates and data quality, enabling statistically meaningful conclusions from DOEs. 

Bioreactor capacity

Culture’s bioreactor capacity allows larger DOE designs to be executed experimentally with sufficient replication in order to generate statistically significant results. Even large DOEs can be performed in a single experiment, or rapidly in a series of experiments. This results in accelerated experimental timelines in order to gain meaningful insights into factors that impact performance in a bioprocess. 

Data quality

Many features of Culture’s platform facilitate the generation of high-quality data, resulting in statistically significant results that can then be used to build predictive models of performance. There are several hardware precision control features of Culture’s bioreactors, including gases delivered via mass flow controllers and up to 5 feeds delivered via peristaltic pump with scale feedback control. Published mass balance data on every run also ensures quality data. Additionally, Culture’s quality guarantee ensures that every condition will be successfully executed as experimentally planned.

For more on running DOEs for process optimization, including key challenges to keep in mind and best practices:

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