Process Analytics

Research and development of at-line, on-line, in-line and noninvasive process analytical technologies:

• NIR, MIR, UV-visible, Raman scattering, fluorescence, NMR, terahertz, microwave, acoustic, and mass spectrometry techniques.
• Analyser / sensor miniaturisation.

Process Analysis and Chemometrics

Data mining & visualisation and advanced multivariate data analysis:

• MS2 Data Mining & Visualisation (AJM Consulting & CPACT).
  
• Process Performance Monitoring.
  
• Robust modelling and calibration from small data sets; model /
  calibration transfer.
  
• Data Fusion - integrating disparate data form e.g. spectroscopic & process data.
  
• Generic multi-recipe, multi-formulation, multi-site modelling.
  
• Building robust transferable calibrations from minimal data, correcting non-linear shifts and spectral band broadening caused by changing process conditions such as temperature, pH, etc.
• Correcting for shifts or drifts in instrument responses: changing from a ‘primary' instrument to a ‘second' instrument; changing probes and probe locations; etc…
• Separating absorbance from multiplicative light scattering effects caused by the variations in optical path
• Fast re-calibration using only a few experiments or data

Process Modelling, Inferential Estimation, Control and Optimisation

• Inferential estimation, advanced process control and optimisation.
• Neural Networks & Software Sensors.
• Hybrid (mechanistic plus empirical) modelling.

Process Intensification

• High throughput technologies.
• Reaction calorimetry
• Hi-Gee spinning disks, rotating packed bed reactors; oscillatory baffled reactors - EU Project Bioproduction.

Micro and Flow Reactors

• Micro reactor & continuous flow synthesis technology for efficient production of chemicals