Scale-up Systems web-sites use cookies. By using this site and any of our other web-based resources, we will assume that you consent to accept our cookies. More info.
Crystallization Scientist

Being able to predict the onset of crystallization can be key to controlling crystal size, to enhance separation, purification and product performance. DynoChem will predict when supersaturation crosses the metastable zone and the onset of crystallization in both seeded and unseeded cases. This enables better control of the crystallization process to promote the size and morphology of crystals you want.

Users apply DynoChem on all types of crystallization. DynoChem provides users with physical property tools, data analysis tools, fitting algorithms and ready-to-customise template models.

For example, a user recently presented a case or a re-crystallization, where Specific Surface Area (SSA) was the target physical property. Using DynoChem's fitting module they were able to back out kinetics of crystallization from solubility data and perform in-silico DoE simulations to study:

  • Seed loading
  • Seeding time
  • Aging time
  • Cooling rate
  • Effect of water content on solubility

From these simulations they were quickly able to verify with lab experiments conditions that provided the best SSA for their crystal.

Want to Know More?

For more information or to arrange a product demonstration, please contact us:

Sign Up for DynoChem Resources

Relevant Customer Publications

"Crystallization Process Improvement Driven by DynoChem Process Modelling", Pfizer (2011)

"Modeling, Screening and PAT: The Development of a Pharmaceutical Crystallization", Merck (2011)

"Using DynoChem to Inform Experimental Design of Batch Crystallization: Case Studies in Scoping, Optimization and Robustness", GSK (2011)

"Exploitation of Crystallisation Analysis Tools in DynoChem to Predict Scale-up", AstraZeneca (2007)

"Combined Experimental and Modeling Study of a Crystallization-Induced Dynamic Resolution", BMS (2007)