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Process Optimisation

Increasing yield, reducing impurities, minimising cycle times, controlling crystal size and ensuring final API filterability are all common projects for process development scientists in late stage development and primary manufacturing.

DynoChem users have access to hundreds of template models, utilities and physical property data for a range of unit operations including homogeneous and heterogeneous reactions, mixing and heat transfer, distillation, crystallization, filtration and drying.

Evaluate new equipment and operating conditions in silico to improve your current processes.

What our users say:
"The optimum operating conditions were achieved by using a DynoChem kinetic model. The predicted conversion at optimum operating conditions was verified by performing experiments on laboratory scale. Based on these operating parameters semi-continuous and pilot scale process was developed."

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Relevant Customer Publications

"Development of an Ammonolysis Reaction Kinetics Model for Improved Process Understanding and Parameter Flexibility", GSK (2014)

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

"Applications of the Simple Filtration and Centrifugation Tool", Amgen (2011)

"Lean and Green, the Value of API Process Design", Pfizer (2009)

"Using DynoChem to Reduce Batch Cycle Time in a Gas-Liquid Reactor and Commission a New Unit", Rohm and Haas (2007)