Literature DB >> 29885512

RTD-based material tracking in a fully-continuous dry granulation tableting line.

M C Martinetz1, A-P Karttunen2, S Sacher1, P Wahl3, J Ketolainen2, J G Khinast4, O Korhonen2.   

Abstract

Continuous manufacturing (CM) offers quality and cost-effectiveness benefits over currently dominating batch processing. One challenge that needs to be addressed when implementing CM is traceability of materials through the process, which is needed for the batch/lot definition and control strategy. In this work the residence time distributions (RTD) of single unit operations (blender, roller compactor and tablet press) of a continuous dry granulation tableting line were captured with NIR based methods at selected mass flow rates to create training data. RTD models for continuous operated unit operations and the entire line were developed based on transfer functions. For semi-continuously operated bucket conveyor and pneumatic transport an assumption based the operation frequency was used. For validation of the parametrized process model, a pre-defined API step change and its propagation through the manufacturing line was computed and compared to multi-scale experimental runs conducted with the fully assembled continuous operated manufacturing line. This novel approach showed a very good prediction power at the selected mass flow rates for a complete continuous dry granulation line. Furthermore, it shows and proves the capabilities of process simulation as a tool to support development and control of pharmaceutical manufacturing processes.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Continuous manufacturing; Dry granulation; Material tracking; PAT; Process modeling; Residence time distribution; Roller compaction; Validation

Mesh:

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Year:  2018        PMID: 29885512     DOI: 10.1016/j.ijpharm.2018.06.011

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  2 in total

1.  Development of an RTD-Based Flowsheet Modeling Framework for the Assessment of In-Process Control Strategies.

Authors:  Geng Tian; Abdollah Koolivand; Zongyu Gu; Michael Orella; Ryan Shaw; Thomas F O'Connor
Journal:  AAPS PharmSciTech       Date:  2021-01-05       Impact factor: 3.246

2.  Development and Use of a Residence Time Distribution (RTD) Model Control Strategy for a Continuous Manufacturing Drug Product Pharmaceutical Process.

Authors:  Samantha Hurley; Anthony Tantuccio; Manuel Sebastian Escotet-Espinoza; Matthew Flamm; Matthew Metzger
Journal:  Pharmaceutics       Date:  2022-02-03       Impact factor: 6.321

  2 in total

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