Cargando…

Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method

The purpose of this work is to simulate the powder compaction of pharmaceutical materials at the microscopic scale in order to better understand the interplay of mechanical forces between particles, and to predict their compression profiles by controlling the microstructure. For this task, the new f...

Descripción completa

Detalles Bibliográficos
Autores principales: Giannis, Kostas, Schilde, Carsten, Finke, Jan Henrik, Kwade, Arno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707439/
https://www.ncbi.nlm.nih.gov/pubmed/34959475
http://dx.doi.org/10.3390/pharmaceutics13122194
_version_ 1784622437129781248
author Giannis, Kostas
Schilde, Carsten
Finke, Jan Henrik
Kwade, Arno
author_facet Giannis, Kostas
Schilde, Carsten
Finke, Jan Henrik
Kwade, Arno
author_sort Giannis, Kostas
collection PubMed
description The purpose of this work is to simulate the powder compaction of pharmaceutical materials at the microscopic scale in order to better understand the interplay of mechanical forces between particles, and to predict their compression profiles by controlling the microstructure. For this task, the new framework of multi-contact discrete element method (MC-DEM) was applied. In contrast to the conventional discrete element method (DEM), MC-DEM interactions between multiple contacts on the same particle are now explicitly taken into account. A new adhesive elastic-plastic multi-contact model invoking neighboring contact interaction was introduced and implemented. The uniaxial compaction of two microcrystalline cellulose grades (Avicel(®) PH 200 (FMC BioPolymer, Philadelphia, PA, USA) and Pharmacel(®) 102 (DFE Pharma, Nörten-Hardenberg, Germany) subjected to high confining conditions was studied. The objectives of these simulations were: (1) to investigate the micromechanical behavior; (2) to predict the macroscopic behavior; and (3) to develop a methodology for the calibration of the model parameters needed for the MC-DEM simulations. A two-stage calibration strategy was followed: first, the model parameters were directly measured at the micro-scale (particle level) and second, a meso-scale calibration was established between MC-DEM parameters and compression profiles of the pharmaceutical powders. The new MC-DEM framework could capture the main compressibility characteristics of pharmaceutical materials and could successfully provide predictions on compression profiles at high relative densities.
format Online
Article
Text
id pubmed-8707439
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-87074392021-12-25 Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method Giannis, Kostas Schilde, Carsten Finke, Jan Henrik Kwade, Arno Pharmaceutics Article The purpose of this work is to simulate the powder compaction of pharmaceutical materials at the microscopic scale in order to better understand the interplay of mechanical forces between particles, and to predict their compression profiles by controlling the microstructure. For this task, the new framework of multi-contact discrete element method (MC-DEM) was applied. In contrast to the conventional discrete element method (DEM), MC-DEM interactions between multiple contacts on the same particle are now explicitly taken into account. A new adhesive elastic-plastic multi-contact model invoking neighboring contact interaction was introduced and implemented. The uniaxial compaction of two microcrystalline cellulose grades (Avicel(®) PH 200 (FMC BioPolymer, Philadelphia, PA, USA) and Pharmacel(®) 102 (DFE Pharma, Nörten-Hardenberg, Germany) subjected to high confining conditions was studied. The objectives of these simulations were: (1) to investigate the micromechanical behavior; (2) to predict the macroscopic behavior; and (3) to develop a methodology for the calibration of the model parameters needed for the MC-DEM simulations. A two-stage calibration strategy was followed: first, the model parameters were directly measured at the micro-scale (particle level) and second, a meso-scale calibration was established between MC-DEM parameters and compression profiles of the pharmaceutical powders. The new MC-DEM framework could capture the main compressibility characteristics of pharmaceutical materials and could successfully provide predictions on compression profiles at high relative densities. MDPI 2021-12-18 /pmc/articles/PMC8707439/ /pubmed/34959475 http://dx.doi.org/10.3390/pharmaceutics13122194 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Giannis, Kostas
Schilde, Carsten
Finke, Jan Henrik
Kwade, Arno
Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method
title Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method
title_full Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method
title_fullStr Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method
title_full_unstemmed Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method
title_short Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method
title_sort modeling of high-density compaction of pharmaceutical tablets using multi-contact discrete element method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707439/
https://www.ncbi.nlm.nih.gov/pubmed/34959475
http://dx.doi.org/10.3390/pharmaceutics13122194
work_keys_str_mv AT gianniskostas modelingofhighdensitycompactionofpharmaceuticaltabletsusingmulticontactdiscreteelementmethod
AT schildecarsten modelingofhighdensitycompactionofpharmaceuticaltabletsusingmulticontactdiscreteelementmethod
AT finkejanhenrik modelingofhighdensitycompactionofpharmaceuticaltabletsusingmulticontactdiscreteelementmethod
AT kwadearno modelingofhighdensitycompactionofpharmaceuticaltabletsusingmulticontactdiscreteelementmethod