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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...

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Autores principales: Gao, Yuan, Glennon, Brian, He, Yunliang, Donnellan, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
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.
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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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AT donnellanphilip dissolutionkineticsofabcsclassiiactivepharmaceuticalingredientdiffusionbasedmodelvalidationandprediction