Material tracking in a continuous direct capsule‐filling process via residence time distribution measurements

Graphical abstract Figure. No Caption available. Abstract Continuous production of pharmaceuticals requires traceability from the raw material to the final dosage form. With that regard, understanding the residence time distribution (RTD) of the whole process and its unit operations is crucial. This work describes a structured approach to characterizing and modelling of RTDs in a continuous blender and a tamping pin capsule filling machine, including insights into data processing. The parametrized RTD models were interconnected to model a continuous direct capsule‐filling process, showing the batch transition as well as the propagation of a 2 min feed disturbance throughout the process. Various control strategies were investigated in‐silico, aiding in the selection of optimal material diversion point to minimize the material waste. Additionally, the RTD models can facilitate process design and optimization. In this work, adaptions to the capsule filling machine were made and their influence on the RTD was examined to achieve an optimal machine setup.

[1]  Douglas M. Hawkins,et al.  The Problem of Overfitting , 2004, J. Chem. Inf. Model..

[2]  E. L. Paul,et al.  Handbook of Industrial Mixing , 2003 .

[3]  J. Rantanen,et al.  The Future of Pharmaceutical Manufacturing Sciences , 2015, Journal of pharmaceutical sciences.

[4]  H. Christopher Frey,et al.  Probabilistic Techniques in Exposure Assessment , 2016 .

[5]  M C Martinetz,et al.  RTD‐based material tracking in a fully‐continuous dry granulation tableting line , 2018, International journal of pharmaceutics.

[6]  F Podczeck,et al.  The filling of granules into hard gelatine capsules. , 1999, International journal of pharmaceutics.

[7]  F Podczeck,et al.  Powder filling into hard gelatine capsules on a tamp filling machine. , 1999, International journal of pharmaceutics.

[8]  Martin Horn,et al.  Optimized continuous pharmaceutical manufacturing via model-predictive control. , 2016, International journal of pharmaceutics.

[9]  Julia Kruisz,et al.  LIF or dye: Comparison of different tracing methods for granular solids , 2020 .

[10]  William Engisch,et al.  Using Residence Time Distributions (RTDs) to Address the Traceability of Raw Materials in Continuous Pharmaceutical Manufacturing , 2015, Journal of Pharmaceutical Innovation.

[11]  Johannes Khinast,et al.  Rapid automated process development of a continuous capsule‐filling process , 2018, International journal of pharmaceutics.

[12]  G. Reklaitis,et al.  Perspectives on the continuous manufacturing of powder‐based pharmaceutical processes , 2016 .

[13]  Johannes Khinast,et al.  Automation of a dosing-disc capsule filler from the perspective of reliability and safety , 2018, Drug development and industrial pharmacy.

[14]  Jagjit Singh Srai,et al.  Future Supply Chains Enabled by Continuous Processing-Opportunities Challenges May 20-21 2014 Continuous Manufacturing Symposium. , 2015, Journal of pharmaceutical sciences.

[15]  RTD modeling of a continuous dry granulation process for process control and materials diversion. , 2017, International journal of pharmaceutics.