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More Value from Existing Data

The amount of data produced in the laboratory and plant has increased exponentially in recent years. Often this data is only given a cursory attention and much of the value it holds remains locked away.

DynoChem users are able to transform this data into process understanding, improving their ability to minimise batch-to-batch variations and increase process performance.

  • Typical lab data comes from HPLC, GC, GC-MS, LC-MS, IR, NMR
  • DynoChem can also be used to analyse calorimetry data and Lasentec FBRM data
  • Plant data from OSIsoft's PI system can be imported for model validation and optimisation projects

DynoChem works with your data. Whether you have a little or a lot, it can easily be read in via our Excel interface

What our users say:
"DynoChem was used as key enabler to ensure the consistent use of data on the reaction step across all scale-up activities."

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Relevant Customer Publications

"Implementing QbD in Pharmaceutical Salt Selection: Predicting Disproportionation", Lilly (2013)

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

"Use of In-Line FTIR for the Kinetic Study of the Reaction and Degradation of Propylene Oxide in the Synthesis of a Pharmaceutical Intermediate", BMS (2008)

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

"FBRM-based Strategies for the Control of Particle Size in APIs", Pfizer (2003)