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Towards predicting the product quality in hot-melt extrusion: Pilot plant scale extrusion
Following our study on the impact of hot melt extrusion (HME) process conditions on the product quality, we expanded our investigation to assessing the effect of scale-up on the product quality. To this end, we studied the influence of process settings and different scale-up variants on the active p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193368/ https://www.ncbi.nlm.nih.gov/pubmed/34159312 http://dx.doi.org/10.1016/j.ijpx.2021.100084 |
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author | Matić, Josip Alva, Carolina Eder, Simone Reusch, Kathrin Paudel, Amrit Khinast, Johannes |
author_facet | Matić, Josip Alva, Carolina Eder, Simone Reusch, Kathrin Paudel, Amrit Khinast, Johannes |
author_sort | Matić, Josip |
collection | PubMed |
description | Following our study on the impact of hot melt extrusion (HME) process conditions on the product quality, we expanded our investigation to assessing the effect of scale-up on the product quality. To this end, we studied the influence of process settings and different scale-up variants on the active pharmaceutical ingredient (API) degradation in a pilot plant scale extruder. Six scale-up variants were investigated and none of them could replicate the product quality from the original process setup on a lab-scale extruder. By analyzing several process-dependent and -independent variables and cross referencing them to the experiments in the lab-scale extruder, we identified certain patterns. The results of the reduced order mechanistic 1D HME simulation of various process states made it possible to establish a correlation between the achieved API degradation and the local melt temperature and the exposure time in specific zones along the screw configuration. Since the same melt temperature and exposure time correlations were also valid for the lab scale-extruder, such an approach could be used in the future to predict the product quality as a function of processing conditions fully in silico prior to the first extrusion trials. |
format | Online Article Text |
id | pubmed-8193368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81933682021-06-21 Towards predicting the product quality in hot-melt extrusion: Pilot plant scale extrusion Matić, Josip Alva, Carolina Eder, Simone Reusch, Kathrin Paudel, Amrit Khinast, Johannes Int J Pharm X Research Paper Following our study on the impact of hot melt extrusion (HME) process conditions on the product quality, we expanded our investigation to assessing the effect of scale-up on the product quality. To this end, we studied the influence of process settings and different scale-up variants on the active pharmaceutical ingredient (API) degradation in a pilot plant scale extruder. Six scale-up variants were investigated and none of them could replicate the product quality from the original process setup on a lab-scale extruder. By analyzing several process-dependent and -independent variables and cross referencing them to the experiments in the lab-scale extruder, we identified certain patterns. The results of the reduced order mechanistic 1D HME simulation of various process states made it possible to establish a correlation between the achieved API degradation and the local melt temperature and the exposure time in specific zones along the screw configuration. Since the same melt temperature and exposure time correlations were also valid for the lab scale-extruder, such an approach could be used in the future to predict the product quality as a function of processing conditions fully in silico prior to the first extrusion trials. Elsevier 2021-06-06 /pmc/articles/PMC8193368/ /pubmed/34159312 http://dx.doi.org/10.1016/j.ijpx.2021.100084 Text en © 2021 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Matić, Josip Alva, Carolina Eder, Simone Reusch, Kathrin Paudel, Amrit Khinast, Johannes Towards predicting the product quality in hot-melt extrusion: Pilot plant scale extrusion |
title | Towards predicting the product quality in hot-melt extrusion: Pilot plant scale extrusion |
title_full | Towards predicting the product quality in hot-melt extrusion: Pilot plant scale extrusion |
title_fullStr | Towards predicting the product quality in hot-melt extrusion: Pilot plant scale extrusion |
title_full_unstemmed | Towards predicting the product quality in hot-melt extrusion: Pilot plant scale extrusion |
title_short | Towards predicting the product quality in hot-melt extrusion: Pilot plant scale extrusion |
title_sort | towards predicting the product quality in hot-melt extrusion: pilot plant scale extrusion |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193368/ https://www.ncbi.nlm.nih.gov/pubmed/34159312 http://dx.doi.org/10.1016/j.ijpx.2021.100084 |
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