Pharmaceutical Unit Operations - The path to predictability and performance
 
DynoChem is a development platform that lets you harness powerful physico-chemical dynamic simulation techniques to develop a deep understanding of your unit operations. Achieve science based predictability, lower risk scale-up and optimized performance using your existing skills and knowledge.
  
Creating process knowledge – a new paradigm
Fundamentally DynoChem uses a different approach to traditional techniques like DOE. For example DOE does not take advantage of your knowledge that mass and energy will be conserved in a reaction, that you may know roughly the overall reaction scheme, or that reaction rates depend on concentrations and temperature. Because DynoChem explicitly uses this information, it can produce a more detailed picture of your process with many fewer tests.
 
"Designing experiments in conjunction with [DynoChem] is important in order to elucidate the kinetics and thermodynamics of the reaction"
BMS, AIChE Conference
 
Helping you to do what you do!
DynoChem gives you easy access to this new approach…
- Use Microsoft Excel® to assemble your process definition and
  your experimental scenarios and data.
- Leverage data from on-line measurements such as IR, Raman
  and FBRM (including CLD–CSD conversions).
- Use one platform for parameter fitting, simulation and optimization
  of any rate based unit operation. (e.g. reaction, crystallization,
  distillation, drying etc.)
- Maintain multiple scenarios in one project and fit parameters for multiple experiments simultaneously.
- Choose from a library of 160+ templates and utilities to start your project with a pre-defined model.
- Most library templates include self-pacing training exercises; for new users or just as a reminder.
 
Minimizing risk in your work process
DynoChem helps reduce risks in your work process on several levels…
- DynoChem includes a library of validation cases that
  test our calculations, and the effectiveness of our
  approach, against analytical solutions and NIST
  approved test cases.
- When you fit experimental data to a hypothetical
  reaction mechanism clear statistics provide feedback on
  the overall fit and the confidence levels of each
  individual parameter.
- An acceptable fit increases confidence in the underlying
  mechanism that you have assumed; as well as providing
  the critical parameters that characterize your system.
- The result is a predictive solution that can be used to examine operational alternatives without further trial and error experimentation; minimizing the use of scarce developmental materials.
 
Putting your knowledge to work
With a high confidence model as a foundation a lot of value is in reach…
- Automatically document your predictive model complete with the data used to build it.
- Rapidly investigate other process scenarios.
- Optimize for different targets simultaneously.
- Examine scale-up to pilot and full scale plant.
- Scale-down processes for more effective re-creation of plant conditions in the lab.
- Examine process safety issues at all scales.
 
"The DynoChem modeling technique proved to be a very successful optimization tool"
Pfizer, OPR&D
 
DynoChem is the market-leading software for modeling and predicting unit operations in process development and scale-up. It is used by nine of the top ten pharmaceutical companies and leading fine chemicals companies. Deployed across the enterprise it is the only tool that delivers smooth transfer of technology, with predictability and identification of critical parameter ranges, as complex recipes are transferred between groups and sites; facilitating transfer from chemists to engineers and between phases of development.