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General Interest: Using DynoChem to Inform Experimental Design of Batch Crystallization

Scale-up Systems

Wednesday, December 12, 2012 from 9:00 AM to 10:00 AM (EST)

General Interest: Using DynoChem to Inform Experimental...

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Rahn McKeown of GSK will describe how a simplified modeling strategy has been devised to minimize the experimental load for evaluating the design space of a crystallization.

The step-wise approach is:

1. Collect solubility data and desupersaturation data

2. Fit to a mass transfer based model

3. Build a model in DynoChem which describes the crystallization process parameters

4. Simulate processing conditions in DynoChem using a full factorial design for all parameters

5. Visualize the response "maximum supersaturation" and reduce the DoE.

This response can then be used as a proxy for the final crystal properties. The number of factorial DoE experiments can then be greatly reduced by using "maximum supersaturation" as a parameter instead of the multitude of processing parameters.

In this talk, Rahn will present model performance against an optimization DoE as a training set, as well as examples of how this approach can be used to reduce experimental load for a scoping study and also a robustness DoE.

Event audio will be available via your computer speakers and headset.

DynoChem Resources members can skip EventBrite registration and register here with one click.

Registration is open to DynoChem customers and prospective customers from industry, academia and government.

No hands-on access to DynoChem is required to attend or benefit from this event

Event audio will be available via your computer speakers and headset.  If attending using your own computer, check your setup here before the meeting.

Have questions about General Interest: Using DynoChem to Inform Experimental Design of Batch Crystallization? Contact Scale-up Systems

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