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Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry
Process simulation using mathematical modeling tools is becoming more common in the pharmaceutical industry. A mechanistic model is a mathematical modeling tool that can enhance process understanding, reduce experimentation cost and improve product quality. A commonly used mechanistic modeling appro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723742/ https://www.ncbi.nlm.nih.gov/pubmed/31443327 http://dx.doi.org/10.3390/pharmaceutics11080414 |
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author | Yeom, Su Bin Ha, Eun-Sol Kim, Min-Soo Jeong, Seong Hoon Hwang, Sung-Joo Choi, Du Hyung |
author_facet | Yeom, Su Bin Ha, Eun-Sol Kim, Min-Soo Jeong, Seong Hoon Hwang, Sung-Joo Choi, Du Hyung |
author_sort | Yeom, Su Bin |
collection | PubMed |
description | Process simulation using mathematical modeling tools is becoming more common in the pharmaceutical industry. A mechanistic model is a mathematical modeling tool that can enhance process understanding, reduce experimentation cost and improve product quality. A commonly used mechanistic modeling approach for powder is the discrete element method (DEM). Most pharmaceutical materials have powder or granular material. Therefore, DEM might be widely applied in the pharmaceutical industry. This review focused on the basic elements of DEM and its implementations in pharmaceutical manufacturing simulation. Contact models and input parameters are essential elements in DEM simulation. Contact models computed contact forces acting on the particle-particle and particle-geometry interactions. Input parameters were divided into two types—material properties and interaction parameters. Various calibration methods were presented to define the interaction parameters of pharmaceutical materials. Several applications of DEM simulation in pharmaceutical manufacturing processes, such as milling, blending, granulation and coating, were categorized and summarized. Based on this review, DEM simulation might provide a systematic process understanding and process control to ensure the quality of a drug product. |
format | Online Article Text |
id | pubmed-6723742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67237422019-09-10 Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry Yeom, Su Bin Ha, Eun-Sol Kim, Min-Soo Jeong, Seong Hoon Hwang, Sung-Joo Choi, Du Hyung Pharmaceutics Review Process simulation using mathematical modeling tools is becoming more common in the pharmaceutical industry. A mechanistic model is a mathematical modeling tool that can enhance process understanding, reduce experimentation cost and improve product quality. A commonly used mechanistic modeling approach for powder is the discrete element method (DEM). Most pharmaceutical materials have powder or granular material. Therefore, DEM might be widely applied in the pharmaceutical industry. This review focused on the basic elements of DEM and its implementations in pharmaceutical manufacturing simulation. Contact models and input parameters are essential elements in DEM simulation. Contact models computed contact forces acting on the particle-particle and particle-geometry interactions. Input parameters were divided into two types—material properties and interaction parameters. Various calibration methods were presented to define the interaction parameters of pharmaceutical materials. Several applications of DEM simulation in pharmaceutical manufacturing processes, such as milling, blending, granulation and coating, were categorized and summarized. Based on this review, DEM simulation might provide a systematic process understanding and process control to ensure the quality of a drug product. MDPI 2019-08-15 /pmc/articles/PMC6723742/ /pubmed/31443327 http://dx.doi.org/10.3390/pharmaceutics11080414 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Yeom, Su Bin Ha, Eun-Sol Kim, Min-Soo Jeong, Seong Hoon Hwang, Sung-Joo Choi, Du Hyung Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry |
title | Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry |
title_full | Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry |
title_fullStr | Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry |
title_full_unstemmed | Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry |
title_short | Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry |
title_sort | application of the discrete element method for manufacturing process simulation in the pharmaceutical industry |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723742/ https://www.ncbi.nlm.nih.gov/pubmed/31443327 http://dx.doi.org/10.3390/pharmaceutics11080414 |
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