Literature DB >> 24211658

Visualization and understanding of the granulation liquid mixing and distribution during continuous twin screw granulation using NIR chemical imaging.

Jurgen Vercruysse1, Maunu Toiviainen2, Margot Fonteyne3, Niko Helkimo4, Jarkko Ketolainen4, Mikko Juuti2, Urbain Delaet5, Ivo Van Assche5, Jean Paul Remon1, Chris Vervaet1, Thomas De Beer6.   

Abstract

Over the last decade, there has been increased interest in the application of twin screw granulation as a continuous wet granulation technique for pharmaceutical drug formulations. However, the mixing of granulation liquid and powder material during the short residence time inside the screw chamber and the atypical particle size distribution (PSD) of granules produced by twin screw granulation is not yet fully understood. Therefore, this study aims at visualizing the granulation liquid mixing and distribution during continuous twin screw granulation using NIR chemical imaging. In first instance, the residence time of material inside the barrel was investigated as function of screw speed and moisture content followed by the visualization of the granulation liquid distribution as function of different formulation and process parameters (liquid feed rate, liquid addition method, screw configuration, moisture content and barrel filling degree). The link between moisture uniformity and granule size distributions was also studied. For residence time analysis, increased screw speed and lower moisture content resulted to a shorter mean residence time and narrower residence time distribution. Besides, the distribution of granulation liquid was more homogenous at higher moisture content and with more kneading zones on the granulator screws. After optimization of the screw configuration, a two-level full factorial experimental design was performed to evaluate the influence of moisture content, screw speed and powder feed rate on the mixing efficiency of the powder and liquid phase. From these results, it was concluded that only increasing the moisture content significantly improved the granulation liquid distribution. This study demonstrates that NIR chemical imaging is a fast and adequate measurement tool for allowing process visualization and hence for providing better process understanding of a continuous twin screw granulation system.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Granulation liquid distribution; NIR chemical imaging; Process understanding; Twin screw granulation

Mesh:

Substances:

Year:  2013        PMID: 24211658     DOI: 10.1016/j.ejpb.2013.10.012

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


  8 in total

1.  The use of Rheology Combined with Differential Scanning Calorimetry to Elucidate the Granulation Mechanism of an Immiscible Formulation During Continuous Twin-Screw Melt Granulation.

Authors:  Tinne Monteyne; Liza Heeze; Severine Therese F C Mortier; Klaus Oldörp; Ruth Cardinaels; Ingmar Nopens; Chris Vervaet; Jean-Paul Remon; Thomas De Beer
Journal:  Pharm Res       Date:  2016-06-22       Impact factor: 4.200

Review 2.  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

3.  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 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

Review 5.  The Future of Pharmaceutical Manufacturing Sciences.

Authors:  Jukka Rantanen; Johannes Khinast
Journal:  J Pharm Sci       Date:  2015-08-17       Impact factor: 3.534

6.  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

7.  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

8.  Particle-Scale Modeling to Understand Liquid Distribution in Twin-Screw Wet Granulation.

Authors:  Ashish Kumar; Stefan Radl; Krist V Gernaey; Thomas De Beer; Ingmar Nopens
Journal:  Pharmaceutics       Date:  2021-06-22       Impact factor: 6.321

  8 in total

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