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

discrete element method pharmaceutical processing wet granulation

Journal

Pharmaceutics
ISSN: 1999-4923
Titre abrégé: Pharmaceutics
Pays: Switzerland
ID NLM: 101534003

Informations de publication

Date de publication:
22 Jun 2021
Historique:
received: 10 04 2021
revised: 10 06 2021
accepted: 15 06 2021
entrez: 2 7 2021
pubmed: 3 7 2021
medline: 3 7 2021
Statut: epublish

Résumé

Experimental characterization of solid-liquid mixing for a high shear wet granulation process in a twin-screw granulator (TSG) is very challenging. This is due to the opacity of the multiphase system and high-speed processing. In this study, discrete element method (DEM) based simulations are performed for a short quasi-two-dimensional simulation domain, incorporating models for liquid bridge formation, rupture, and the effect of the bridges on inter-particular forces. Based on the knowledge gained from these simulations, the kneading section of a twin-screw wet granulation process was simulated. The time evolution of particle flow and liquid distribution between particles, leading to the formation of agglomerates, was analyzed. The study showed that agglomeration is a rather delayed process that takes place once the free liquid on the particle surface is well distributed.

Identifiants

pubmed: 34206609
pii: pharmaceutics13070928
doi: 10.3390/pharmaceutics13070928
pmc: PMC8308998
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Fonds Wetenschappelijk Onderzoek
ID : V410915N

Références

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Feb;85(2 Pt 1):021305
pubmed: 22463200
Eur J Pharm Biopharm. 2013 Nov;85(3 Pt B):814-32
pubmed: 24056091
Int J Pharm. 2007 Mar 6;332(1-2):168-75
pubmed: 17074456
Eur J Pharm Sci. 2016 Jul 30;90:25-37
pubmed: 26709082
Eur J Pharm Biopharm. 2014 Apr;86(3):383-92
pubmed: 24211658

Auteurs

Ashish Kumar (A)

Pharmaceutical Engineering Research Group (PharmaEng), Department of Pharmaceutical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg, B-9000 Ghent, Belgium.

Stefan Radl (S)

Institute for Process and Particle Engineering, Graz University of Technology, Inffeldgasse 13/3, 8010 Graz, Austria.

Krist V Gernaey (KV)

Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.

Thomas De Beer (T)

Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg, B-9000 Ghent, Belgium.

Ingmar Nopens (I)

BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium.

Classifications MeSH