Cargando…

Predicting Residence Time and Melt Temperature in Pharmaceutical Hot Melt Extrusion

Hot-melt extrusion is increasingly applied in the pharmaceutical area as a continuous processing technology, used to design custom products by co-processing drugs together with functional excipients. In this context, the residence time and processing temperature during extrusion are critical process...

Descripción completa

Detalles Bibliográficos
Autores principales: Winck, Judith, Gottschalk, Tobias, Thommes, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221575/
https://www.ncbi.nlm.nih.gov/pubmed/37242659
http://dx.doi.org/10.3390/pharmaceutics15051417
_version_ 1785049489187274752
author Winck, Judith
Gottschalk, Tobias
Thommes, Markus
author_facet Winck, Judith
Gottschalk, Tobias
Thommes, Markus
author_sort Winck, Judith
collection PubMed
description Hot-melt extrusion is increasingly applied in the pharmaceutical area as a continuous processing technology, used to design custom products by co-processing drugs together with functional excipients. In this context, the residence time and processing temperature during extrusion are critical process parameters for ensuring the highest product qualities, particularly of thermosensitive materials. Within this study, a novel strategy is proposed to predict the residence time distribution and melt temperature during pharmaceutical hot-melt extrusion processes based on experimental data. To do this, an autogenic extrusion mode without external heating and cooling was applied to process three polymers (Plasdone S-630, Soluplus and Eudragit EPO) at different specific feed loads, which were set by the screw speed and the throughput. The residence time distributions were modeled based on a two-compartment approach that couples the behavior of a pipe and a stirred tank. The throughput showed a substantial effect on the residence time, whereas the influence of the screw speed was minor. On the other hand, the melt temperatures during extrusion were mainly affected by the screw speed compared to the influence of the throughput. Finally, the compilation of model parameters for the residence time and the melt temperature within design spaces serve as the basis for an optimized prediction of pharmaceutical hot-melt extrusion processes.
format Online
Article
Text
id pubmed-10221575
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-102215752023-05-28 Predicting Residence Time and Melt Temperature in Pharmaceutical Hot Melt Extrusion Winck, Judith Gottschalk, Tobias Thommes, Markus Pharmaceutics Article Hot-melt extrusion is increasingly applied in the pharmaceutical area as a continuous processing technology, used to design custom products by co-processing drugs together with functional excipients. In this context, the residence time and processing temperature during extrusion are critical process parameters for ensuring the highest product qualities, particularly of thermosensitive materials. Within this study, a novel strategy is proposed to predict the residence time distribution and melt temperature during pharmaceutical hot-melt extrusion processes based on experimental data. To do this, an autogenic extrusion mode without external heating and cooling was applied to process three polymers (Plasdone S-630, Soluplus and Eudragit EPO) at different specific feed loads, which were set by the screw speed and the throughput. The residence time distributions were modeled based on a two-compartment approach that couples the behavior of a pipe and a stirred tank. The throughput showed a substantial effect on the residence time, whereas the influence of the screw speed was minor. On the other hand, the melt temperatures during extrusion were mainly affected by the screw speed compared to the influence of the throughput. Finally, the compilation of model parameters for the residence time and the melt temperature within design spaces serve as the basis for an optimized prediction of pharmaceutical hot-melt extrusion processes. MDPI 2023-05-06 /pmc/articles/PMC10221575/ /pubmed/37242659 http://dx.doi.org/10.3390/pharmaceutics15051417 Text en © 2023 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
Winck, Judith
Gottschalk, Tobias
Thommes, Markus
Predicting Residence Time and Melt Temperature in Pharmaceutical Hot Melt Extrusion
title Predicting Residence Time and Melt Temperature in Pharmaceutical Hot Melt Extrusion
title_full Predicting Residence Time and Melt Temperature in Pharmaceutical Hot Melt Extrusion
title_fullStr Predicting Residence Time and Melt Temperature in Pharmaceutical Hot Melt Extrusion
title_full_unstemmed Predicting Residence Time and Melt Temperature in Pharmaceutical Hot Melt Extrusion
title_short Predicting Residence Time and Melt Temperature in Pharmaceutical Hot Melt Extrusion
title_sort predicting residence time and melt temperature in pharmaceutical hot melt extrusion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221575/
https://www.ncbi.nlm.nih.gov/pubmed/37242659
http://dx.doi.org/10.3390/pharmaceutics15051417
work_keys_str_mv AT winckjudith predictingresidencetimeandmelttemperatureinpharmaceuticalhotmeltextrusion
AT gottschalktobias predictingresidencetimeandmelttemperatureinpharmaceuticalhotmeltextrusion
AT thommesmarkus predictingresidencetimeandmelttemperatureinpharmaceuticalhotmeltextrusion