Literature DB >> 31170476

Multi-dimensional population balance modelling of pharmaceutical formulations for continuous twin-screw wet granulation: Determination of liquid distribution.

Saeed Shirazian1, Hamza Y Ismail2, Mehakpreet Singh2, Rahamatullah Shaikh2, Denise M Croker2, Gavin M Walker2.   

Abstract

Two-dimensional population balance model (PBM) is developed in order to model pharmaceutical granules formation in a twin-screw wet granulator. Granule size and liquid content are considered as internal coordinates, while axial length of granulator is considered as external coordinate. Two types of initial liquid distribution are considered for the model development, i.e. constant and linear distributions. The main focus is on modeling and validation of liquid content distribution of granules. Regime-separated approach was used in order to capture the non-homogeneity of the granulator. The plug flow regime is considered for the conveying zone, while well-mixed regime is assumed for the kneading zone of twin-screw granulator. Aggregation and breakage are considered as the main mechanisms for granule formation and size control. Cell average method is used for solution of the PBM based on lumped parameter approach. In order to determine experimentally the distribution of liquid, liquid binder by dye addition was used in the process. The model findings are calibrated and validated by comparing with measured liquid content in each size fraction. The measured data is collected on a 12 mm twin-screw wet granulator using microcrystalline cellulose (MCC) and water soluble dye plus water as binder. The model indicated to be valid for MCC and needs to be validated with further excipients. The results revealed that increasing screw speed led to more uniform liquid distribution. Finally, the model findings indicated that 2D PBM is capable of predicting liquid distribution, and can be used as predictive tool in pharmaceutical continuous granulation.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Continuous pharmaceutical manufacture; Numerical simulation; Population balance model; Twin-screw granulator; Wet granulation

Year:  2019        PMID: 31170476     DOI: 10.1016/j.ijpharm.2019.06.001

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


  5 in total

1.  Risk Assessment for a Twin-Screw Granulation Process Using a Supervised Physics-Constrained Auto-encoder and Support Vector Machine Framework.

Authors:  Chaitanya Sampat; Rohit Ramachandran
Journal:  Pharm Res       Date:  2022-08-04       Impact factor: 4.580

2.  Continuous twin screw granulation: Impact of microcrystalline cellulose batch-to-batch variability during granulation and drying - A QbD approach.

Authors:  Christoph Portier; Tamas Vigh; Giustino Di Pretoro; Jan Leys; Didier Klingeleers; Thomas De Beer; Chris Vervaet; Valérie Vanhoorne
Journal:  Int J Pharm X       Date:  2021-03-19

3.  New Discrete Formulation for Reduced Population Balance Equation: An Illustration to Crystallization.

Authors:  Mehakpreet Singh; Gavin Walker
Journal:  Pharm Res       Date:  2022-08-09       Impact factor: 4.580

Review 4.  Continuous Twin Screw Granulation: A Review of Recent Progress and Opportunities in Formulation and Equipment Design.

Authors:  Christoph Portier; Chris Vervaet; Valérie Vanhoorne
Journal:  Pharmaceutics       Date:  2021-05-07       Impact factor: 6.321

5.  Improvement of a 1D Population Balance Model for Twin-Screw Wet Granulation by Using Identifiability Analysis.

Authors:  Ana Alejandra Barrera Jiménez; Daan Van Hauwermeiren; Michiel Peeters; Thomas De Beer; Ingmar Nopens
Journal:  Pharmaceutics       Date:  2021-05-11       Impact factor: 6.321

  5 in total

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