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CFD approach for simulation of API release from solid dosage formulations

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dc.contributor.author Walsh, Jordan P.
dc.contributor.author Ghadiri, Mahdi
dc.contributor.author Shirazian, Saeed
dc.date.accessioned 2020-08-17T10:52:19Z
dc.date.available 2020-08-17T10:52:19Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/10344/9117
dc.description peer-reviewed en_US
dc.description.abstract A comprehensive mathematical model has been developed to study release behaviour of Active Pharmaceutical Ingredients (API) from pharmaceutical solid dosage oral formulations. An analytical model was found in Dynochem resources and a numerical model was developed using COMSOL Multiphysics software using computational fluid dynamics based on finite element method in order to solve mass transfer equations. Only molecular diffusion was considered in the model to predict mass transfer of API molecules through the porous matrix. The model was developed in two steps; in the first step Dynochem was used to fit the data and find the unknown parameters. Then, COMSOL Multiphysics was used for prediction of API concentration over time. The experimental results were taken from the lab for release of Paracetamol from HPMC tablets, in order to validate the modelling process. The result of the study showed that both modelling methods are relatively good predictors of experimental values and that even models with limited complexity can serve this purpose well. The results can be used as predictive tools for designing novel drug controlled release systems. en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Journal of Molecular Liquids;317, 113899
dc.subject pharmaceutics controlled release en_US
dc.subject API Mathematical modelling en_US
dc.subject CFD Mass transfer en_US
dc.title CFD approach for simulation of API release from solid dosage formulations en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1016/j.molliq.2020.113899
dc.contributor.sponsor SFI en_US
dc.relation.projectid 18/SIRG/5479 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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