dc.creatorRuiz, María Esperanza
dc.creatorVolonté, Maria Guillermina
dc.date.accessioned2015-11-24T20:11:51Z
dc.date.accessioned2018-11-06T14:44:31Z
dc.date.available2015-11-24T20:11:51Z
dc.date.available2018-11-06T14:44:31Z
dc.date.created2015-11-24T20:11:51Z
dc.date.issued2014-02
dc.identifierRuiz, María Esperanza; Volonté, Maria Guillermina; Biopharmaceutical relevance of the comparison of dissolution profiles: proposal of a combined approach; Dissolution Technologies, Inc; Dissolution Technologies; 21; 1; 2-2014; 32-42
dc.identifier1521-298X
dc.identifierhttp://hdl.handle.net/11336/2916
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1889731
dc.description.abstractThe aim of the present study was to analyze comparatively the performance of the main methods proposed for the comparison of percent dissolved vs. time curves, and to propose a more biorrelevant combined-approach for the comparison of dissolution profiles of multisource drug products. In vitro dissolution tests of four brands of Oxcarbazepine (OxCBZ) tablets were performed, and the resulting profiles were compared by model independent, model dependent and ANOVA-based statistical methods. After a careful analysis of the results, some methods were chosen and applied to the comparison of dissolution profiles of four brands of Carbamazepine (CBZ) tablets and two brands of Phenytoin (PHT) capsules. Finally, these in vitro results were qualitatively correlated with the corresponding in vivo results previously obtained with the same CBZ and PHT products assayed in healthy volunteers. The analysis of the dissolution data obtained with OxCBZ tablets allowed discarding the ANOVA-based statistical methods since in all cases they were over-discriminating from a biopharmaceutical point of view. When the remaining comparison methods were applied to in vitro profiles of CBZ and PHT products and the results correlated with in vivo data, the most suitable methods for the biopharmaceutical comparison of in vitro dissolution profiles proved to be the model independent ones, and among them the best correlations were found for the f2 similarity factor along with a measure of the dissolution extent (e.g., area under the curve). This combined approach gives a robust and informative result, with the most biopharmaceutical relevance.
dc.languageeng
dc.publisherDissolution Technologies, Inc
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.14227/DT210114P32
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.14227/DT210114P32
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.dissolutiontech.com/DTresour/BackIssuefldr/DT201402_A04.pdf
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)
dc.subjectDISSOLUTION PROFILES
dc.subjectCOMPARISON METHODS
dc.subjectF2 FACTOR
dc.subjectBIORELEVANCE
dc.titleBiopharmaceutical relevance of the comparison of dissolution profiles: proposal of a combined approach
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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