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Dissolution Kinetics of a BCS Class II Active Pharmaceutical Ingredient: Diffusion-Based Model Validation and Prediction
[Image: see text] In this work, a diffusion-theory-based model has been devised to simulate dissolution kinetics of a poorly water-soluble drug, ibuprofen. The model was developed from the Noyes–Whitney equation in which the dissolution rate term is a function of the remaining particulate surface ar...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8014923/ https://www.ncbi.nlm.nih.gov/pubmed/33817465 http://dx.doi.org/10.1021/acsomega.0c05558 |
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author | Gao, Yuan Glennon, Brian He, Yunliang Donnellan, Philip |
author_facet | Gao, Yuan Glennon, Brian He, Yunliang Donnellan, Philip |
author_sort | Gao, Yuan |
collection | PubMed |
description | [Image: see text] In this work, a diffusion-theory-based model has been devised to simulate dissolution kinetics of a poorly water-soluble drug, ibuprofen. The model was developed from the Noyes–Whitney equation in which the dissolution rate term is a function of the remaining particulate surface area and the concentration gradient across the boundary layer. Other dissolution parameters include initial particle size, diffusion coefficient, material density, and diffusion boundary layer thickness. It is useful for predicting nonsink circumstances under which pure API polydisperse powders are suspended in a well-mixing tank. The model was used to compare the accuracy of simulations using spherical (single dimensional characteristic length) and cylindrical particle (multidimensional characteristic lengths) geometries, with and without size-dependent diffusion layer thickness. Experimental data was fitted to the model to obtain the diffusion layer thickness as well as used for model validation and prediction. The CSDs of postdissolution were also predicted with this model, demonstrating good agreement between theory and experiment. |
format | Online Article Text |
id | pubmed-8014923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-80149232021-04-02 Dissolution Kinetics of a BCS Class II Active Pharmaceutical Ingredient: Diffusion-Based Model Validation and Prediction Gao, Yuan Glennon, Brian He, Yunliang Donnellan, Philip ACS Omega [Image: see text] In this work, a diffusion-theory-based model has been devised to simulate dissolution kinetics of a poorly water-soluble drug, ibuprofen. The model was developed from the Noyes–Whitney equation in which the dissolution rate term is a function of the remaining particulate surface area and the concentration gradient across the boundary layer. Other dissolution parameters include initial particle size, diffusion coefficient, material density, and diffusion boundary layer thickness. It is useful for predicting nonsink circumstances under which pure API polydisperse powders are suspended in a well-mixing tank. The model was used to compare the accuracy of simulations using spherical (single dimensional characteristic length) and cylindrical particle (multidimensional characteristic lengths) geometries, with and without size-dependent diffusion layer thickness. Experimental data was fitted to the model to obtain the diffusion layer thickness as well as used for model validation and prediction. The CSDs of postdissolution were also predicted with this model, demonstrating good agreement between theory and experiment. American Chemical Society 2021-03-19 /pmc/articles/PMC8014923/ /pubmed/33817465 http://dx.doi.org/10.1021/acsomega.0c05558 Text en © 2021 The Authors. Published by American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Gao, Yuan Glennon, Brian He, Yunliang Donnellan, Philip Dissolution Kinetics of a BCS Class II Active Pharmaceutical Ingredient: Diffusion-Based Model Validation and Prediction |
title | Dissolution Kinetics of a BCS Class II Active Pharmaceutical
Ingredient: Diffusion-Based Model Validation and Prediction |
title_full | Dissolution Kinetics of a BCS Class II Active Pharmaceutical
Ingredient: Diffusion-Based Model Validation and Prediction |
title_fullStr | Dissolution Kinetics of a BCS Class II Active Pharmaceutical
Ingredient: Diffusion-Based Model Validation and Prediction |
title_full_unstemmed | Dissolution Kinetics of a BCS Class II Active Pharmaceutical
Ingredient: Diffusion-Based Model Validation and Prediction |
title_short | Dissolution Kinetics of a BCS Class II Active Pharmaceutical
Ingredient: Diffusion-Based Model Validation and Prediction |
title_sort | dissolution kinetics of a bcs class ii active pharmaceutical
ingredient: diffusion-based model validation and prediction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8014923/ https://www.ncbi.nlm.nih.gov/pubmed/33817465 http://dx.doi.org/10.1021/acsomega.0c05558 |
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