Literature DB >> 28583329

RTD modeling of a continuous dry granulation process for process control and materials diversion.

Julia Kruisz1, Jakob Rehrl2, Stephan Sacher1, Isabella Aigner1, Martin Horn3, Johannes G Khinast4.   

Abstract

Disturbance propagation during continuous manufacturing processes can be predicted by evaluating the residence time distribution (RTD) of the specific unit operations. In this work, a dry granulation process was modelled and four scenarios of feeding events were simulated. We performed characterization of the feeders and developed RTD models for the blender and the roller compactor based on impulse-response measurements via color tracers. Out-of-specification material was defined based on the active pharmaceutical ingredient (API) concentration. We calculated the amount of waste material at various diversion points, considering four feeder-related process-upset scenarios and formulated considerations for the development of a control concept. The developed RTD models allow material tracking of materials that may be used for following the spread contaminants within the process and for batch definition. The results show that RTD modeling is a valuable tool for process development and design, as well as for process monitoring and material tracking.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Continuous manufacturing; Dry granulation; Out-of-spec handling; Process control; RTD modelling

Mesh:

Year:  2017        PMID: 28583329     DOI: 10.1016/j.ijpharm.2017.06.001

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


  4 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

Review 2.  Model-Based Scale-Up Methodologies for Pharmaceutical Granulation.

Authors:  Eun Ha Jang; Yun Sang Park; Min-Soo Kim; Du Hyung Choi
Journal:  Pharmaceutics       Date:  2020-05-14       Impact factor: 6.321

3.  Towards predicting the product quality in hot-melt extrusion: Pilot plant scale extrusion.

Authors:  Josip Matić; Carolina Alva; Simone Eder; Kathrin Reusch; Amrit Paudel; Johannes Khinast
Journal:  Int J Pharm X       Date:  2021-06-06

Review 4.  Process Analytical Technology Tools for Monitoring Pharmaceutical Unit Operations: A Control Strategy for Continuous Process Verification.

Authors:  Eun Ji Kim; Ji Hyeon Kim; Min-Soo Kim; Seong Hoon Jeong; Du Hyung Choi
Journal:  Pharmaceutics       Date:  2021-06-21       Impact factor: 6.321

  4 in total

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