posted on 2022-03-07, 14:27authored byMarcus A. O'Mahony, Caroline McCormack, Chris O'Callaghan, Ian Jones, Gavin M. Walker, Patrick Cronin
Developers, Data Scientists and Data Engineers (Dukart, et al., 2020). Drug manufacturing processes
This paper describes a PAT-enabled, digitalised, and automated fluid bed granulation system. A
multichannel Near-Infrared (NIR) spectrophotometer and a direct imaging particle size and shape
analyser in constant dialogue with the SmartX no-code/low-code platform provide a ground-breaking
process automation toolset now located at the Bernal Institute in the University of Limerick. Two sets
of results are presented for this study, from two iterations of the Advance Dynamic Process Control
(ADPC) controller application. The results demonstrate the direct measurement and control of the
product’s critical quality attributes through digitality enabled feedback control of processing setpoints
and parameters. The platform controlled the particle size more tightly compared to non-automated
control and a more accurate measurement-driven process endpoint for moisture content was
achieved. Implementing a digitally enabled control approach can significantly reduce batch to batch
variation and greatly improve process performance and product consistency.