Abstract
Pharmaceutical tablets can be susceptible to damage such as edge chipping or erosion of the core during the tablet coating process. The intersection of certain process parameters, equipment design, and tablet properties may induce more significant tablet damage such as complete tablet fracture. In this work, a hybrid predictive approach was developed using discrete element method (DEM) modeling and lab-based tablet impact experiments to identify conditions that may lead to tablet breakage events. The approach was extended to examine potential modifications to the coating equipment and process conditions in silico to mitigate the likelihood of tablet breakage during future batches. The approach is shown to enhance process understanding, identify optimal process conditions within development constraints, and de-risk the manufacture of future tablet coating batches.
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Acknowledgements
The authors would like to acknowledge the assistance of Alex Ramirez to conduct the tablet drop test experiments and useful discussions with Maxx Capece and Alex Russell. The authors are also grateful for the support of Ruth Aquino, Amarillys De Jesus Vazquez, and Efrain Ruiz Machado during the experimental coating trials. Finally, Soumojeet Ghosh, David O’Brien, Ken Chong, Brendon Ricart, Mike Hoffman, and Juergen Zeidler are also acknowledged for their support of this work.
All authors and contributors are employees of AbbVie and may own AbbVie stock. AbbVie sponsored and funded the study; contributed to the design; participated in the collection, analysis, and interpretation of data, and in writing, reviewing, and approval of the final publication.
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Guest Editors: Alexander Russell and Maxx Capece
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Ketterhagen, W.R., Larson, J., Spence, K. et al. Predictive Approach to Understand and Eliminate Tablet Breakage During Film Coating. AAPS PharmSciTech 22, 178 (2021). https://doi.org/10.1208/s12249-021-02061-3
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DOI: https://doi.org/10.1208/s12249-021-02061-3