Literature DB >> 24768925

Mixing and transport during pharmaceutical twin-screw wet granulation: experimental analysis via chemical imaging.

Ashish Kumar1, Jurgen Vercruysse2, Maunu Toiviainen3, Pierre-Emmanuel Panouillot4, Mikko Juuti5, Valérie Vanhoorne6, Chris Vervaet7, Jean Paul Remon8, Krist V Gernaey9, Thomas De Beer10, Ingmar Nopens11.   

Abstract

Twin-screw granulation is a promising continuous alternative for traditional batch high shear wet granulation (HSWG). The extent of HSWG in a twin screw granulator (TSG) is greatly governed by the residence time of the granulation materials in the TSG and degree of mixing. In order to determine the residence time distribution (RTD) and mixing in TSG, mostly visual observation and particle tracking methods are used, which are either inaccurate and difficult for short RTD, or provide an RTD only for a finite number of preferential tracer paths. In this study, near infrared chemical imaging, which is more accurate and provides a complete RTD, was used. The impact of changes in material throughput (10-17 kg/h), screw speed (500-900 rpm), number of kneading discs (2-12) and stagger angle (30-90°) on the RTD and axial mixing of the material was characterised. The experimental RTD curves were used to calculate the mean residence time, mean centred variance and the Péclet number to determine the axial mixing and predominance of convective over dispersive transport. The results showed that screw speed is the most influential parameter in terms of RTD and axial mixing in the TSG and established a significant interaction between screw design parameters (number and stagger angle of kneading discs) and the process parameters (material throughput and number of kneading discs). The results of the study will allow the development and validation of a transport model capable of predicting the RTD and macro-mixing in the TSG. These can later be coupled with a population balance model in order to predict granulation yields in a TSG more accurately.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Axial mixing; Flow regime; NIR chemical imaging; Residence time distribution; Screw configuration; Twin-screw granulation

Mesh:

Substances:

Year:  2014        PMID: 24768925     DOI: 10.1016/j.ejpb.2014.04.004

Source DB:  PubMed          Journal:  Eur J Pharm Biopharm        ISSN: 0939-6411            Impact factor:   5.571


  9 in total

1.  Continuous Single-Step Wet Granulation with Integrated in-Barrel-Drying.

Authors:  Adrian Schmidt; Hans de Waard; Peter Kleinebudde; Markus Krumme
Journal:  Pharm Res       Date:  2018-06-25       Impact factor: 4.200

2.  Optimization of critical quality attributes in continuous twin-screw wet granulation via design space validated with pilot scale experimental data.

Authors:  Huolong Liu; S C Galbraith; Brendon Ricart; Courtney Stanton; Brandye Smith-Goettler; Luke Verdi; Thomas O'Connor; Sau Lee; Seongkyu Yoon
Journal:  Int J Pharm       Date:  2017-04-24       Impact factor: 5.875

3.  Exploratory studies in heat-assisted continuous twin-screw dry granulation: A novel alternative technique to conventional dry granulation.

Authors:  Venkata Raman Kallakunta; Hemlata Patil; Roshan Tiwari; Xingyou Ye; Sampada Upadhye; Ronald S Vladyka; Sandeep Sarabu; Dong Wuk Kim; Suresh Bandari; Michael A Repka
Journal:  Int J Pharm       Date:  2018-11-17       Impact factor: 5.875

Review 4.  Advances in Twin-Screw Granulation Processing.

Authors:  Uttom Nandi; Vivek Trivedi; Steven A Ross; Dennis Douroumis
Journal:  Pharmaceutics       Date:  2021-04-27       Impact factor: 6.321

5.  Inline Determination of Residence Time Distribution in Hot-Melt-Extrusion.

Authors:  Jens Wesholowski; Andreas Berghaus; Markus Thommes
Journal:  Pharmaceutics       Date:  2018-04-15       Impact factor: 6.321

6.  Evaluation of Binders in Twin-Screw Wet Granulation.

Authors:  Claudia Köster; Sebastian Pohl; Peter Kleinebudde
Journal:  Pharmaceutics       Date:  2021-02-09       Impact factor: 6.321

Review 7.  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

8.  A Semi-Mechanistic Prediction of Residence Time Metrics in Twin Screw Granulation.

Authors:  Shashank Venkat Muddu; Lalith Kotamarthy; Rohit Ramachandran
Journal:  Pharmaceutics       Date:  2021-03-16       Impact factor: 6.321

9.  Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator.

Authors:  John P Morrissey; Kevin J Hanley; Jin Y Ooi
Journal:  Pharmaceutics       Date:  2021-12-12       Impact factor: 6.321

  9 in total

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