Join the DynoChem training team for two days of hands-on training, using the DynoChem software to accelerate process development, optimization and scale-up for crystallisations.
Training will address DynoChem applications for engineers and scientists involved in process development, tech transfer, troubleshooting and optimization of crystallisation operations. Case studies from BMS, Merck, GSK and others will be used to illustrate these applications. No prior familiarity with DynoChem is needed.
The agenda will cover topics such as:
- Predicting solute solubility from limited data to choose a good solvent / anti-solvent
- Regressing solubility data versus temperature and solvent composition
- Fitting crystal growth kinetics from lab experiments
- Designing a crystallisation for a specified yield, purity and particle size distribution
- Assessing the capability of a given plant vessel to meet heat transfer and particle suspension requirements for a crystallisation
What recent trainees liked best:
- "There was loads of discussion and interaction, this is a great way to learn."
- "Freedom to discuss any element of process engineering."
- "Excellent training course, very relevant and pitched at just the right level."
- "This was my first time using DynoChem but I can immediately see ways in which I can use it."
You will need a laptop computer with DynoChem installed and a wireless network capability. We will provide a temporary license of DynoChem for the duration of the training and the following week.
By the end of the course, trainees will be able to:
- Understand DynoChem tools for crystallization projects and how to apply them
- Use process scheme diagrams to help design experiments, build models and prepare tech transfer packages for new or existing crystallizations
- Estimate heat transfer / cooling capacity for lab and plant vessels
- Predict whether crystallized solids will be adequately suspended in a plant vessel
- Store and access vessel data for your equipment, or that of a CMO partner
- Use measured solubility for a solute in a small set of neat solvents and/or binary mixtures to predict its solubility over many solvents and solvent mixtures
- Choose a good solvent and anti-solvent for a crystallization
- Regress a solubility surface from data versus temperature and solvent composition
- Perform a quick crystallization design to meet a specified product yield
- Estimate final crystal purity arising from an impurity in the starting crude
- Predict final particle size distribution for a given seed, using a "growth only" estimate
- Design desupersaturation experiments and use them to fit crystal growth kinetics
- Use fitted solubility surface and crystal growth kinetics to design a seeded, growth-dominated crystallization to meet specified particle size requirements
- Assess the expected scale-up performance of a lab crystallization
- Use measured PSD data to regress parameters for additional crystallization mechanisms and assess their impact on the final PSD, including primary and secondary nucleation and size dependent growth
- Interact with the DynoChem Support team when tackling new projects.
The registration fee includes attendance for both days of training, all training materials, coffee breaks and lunch on both days. Hotel accommodation is not included.
Refund / cancellation policy:
1. Substitutions can be made at any time before the training.
2. For cancellations made in writing up to two weeks before the training, a full refund will be made, less a financial charge of £100.
3. No refunds can be given for cancellations less than one week before the event.
4. Registration is open to DynoChem customers and prospective customers from industry, academia and government.