Optimizing Procedures through Experimental Design
In the realm of science and technology, understanding the behavior of a process across different scales is crucial for achieving optimal results. This is especially true in the field of biotechnology, where a webinar hosted by the Royal Society of Chemistry delved into this topic, demonstrating how to create improved scale-up understanding using Design of Experiments (DoE) and equivalence testing.
The webinar was presented by Ben Francis, a systems engineer for JMP in the UK. Before his current role, Ben was a senior statistician in Unilever's digital R&D department and the producer of the Naked Scientists. Currently, he also serves as the digital editor of our website magazine.
The webinar highlighted the importance of Design of Experiments (DoE), an extremely useful approach to check how the process behaves throughout the scale range. This method is not just limited to large-scale experiments, but can also be combined with other techniques to provide a complete picture.
One company that has leveraged the power of DoE is Fujifilm Diosynth Biotechnologies. Gwenola Ninon, a staff scientist at Fujifilm Diosynth Biotechnologies and a key figure in establishing digital infrastructure, shared how the company uses the DoE and Analyse platforms in JMP to predict large-scale results from small-scale models.
Small-scale runs are essential for finding the perfect settings and trialing alternative process conditions. Comparing scales is crucial for qualifying smaller reactors, ensuring that they can perform as effectively as their larger counterparts.
Somaieh Mohammadi, another staff scientist at Fujifilm Diosynth Biotechnologies, emphasized the importance of this approach. Somaieh obtained her PhD in chemical engineering from Newcastle University in 2014.
It's worth noting that JMP has been a part of SAS since 1989, making it a trusted partner in the field of business analytics software and services. SAS is the leader in this area, providing tools that help organisations like Fujifilm Diosynth Biotechnologies make sense of their data and make informed decisions.
The webinar concluded by explaining how to convey scale-up understanding to the wider organization. Conducting experiments at manufacturing scale is not practical, so it's essential to find ways to communicate the findings from smaller-scale experiments effectively.
Despite extensive research, information about Ben Francis' current place of employment as a Systems Engineer could not be found. Regardless, his expertise in the field and his role in hosting this webinar underscore his commitment to advancing the understanding of scale-up processes in biotechnology.
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