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A new modelling approach for dissolution of polydisperse powders
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. (SweDeliver)ORCID iD: 0000-0001-8327-6755
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. (SweDeliver)ORCID iD: 0000-0003-4013-9704
2023 (English)In: International Journal of Pharmaceutics, ISSN 0378-5173, E-ISSN 1873-3476, Vol. 633, article id 122626Article in journal (Refereed) Published
Abstract [en]

A new modelling approach for dissolution of polydisperse powders is developed within the framework of the classical Noyes-Whitney/Nernst-Brunner analysis. Its distinguishing feature is that the underlying continuous particle-size distribution is retained. Two different but related dependencies of the diffusion-layer thickness on particle size are considered. First, a power-law dependence that interpolates between a thickness that is proportional to (or equals) the particle radius (obtained when the exponent equals 1) and a constant thickness (obtained when the exponent is 0). Second, a piecewise linear function such that the thickness equals the particle radius for sufficiently small particles and is constant for larger ones. The modelling approach is exemplified by consideration of a lognormal particle-size distribution. Highly accurate closed-form expressions for the fraction of dissolved drug are obtained for dissolution under sink conditions (which are exact if the diffusion-layer thickness is radius-independent). Moreover, it is demonstrated that any result derived under sink conditions can be reused to determine the fraction of dissolved/absorbed drug under non-sink conditions, using the concept of a retarded time. Comparison with literature data and experiments are used to validate the modelling approach and to demonstrate its usefulness in a practical context.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 633, article id 122626
Keywords [en]
Dissolution, Absorption, Polydisperse, Mathematical modelling
National Category
Pharmaceutical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-497711DOI: 10.1016/j.ijpharm.2023.122626ISI: 000926254900001PubMedID: 36690125OAI: oai:DiVA.org:uu-497711DiVA, id: diva2:1742461
Funder
Vinnova, Dnr 2019-00048Available from: 2023-03-09 Created: 2023-03-09 Last updated: 2023-03-09Bibliographically approved

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van der Zwaan, IresFrenning, Göran

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