Developing alfuzosin tablet formulation based on quality by design (QbD) approach by using artificial neural network

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dc.contributor.authorAksu, Buket
dc.contributor.authorMesut, Burcu
dc.contributor.authorÖzsoy, Yıldız
dc.date.accessioned2021-05-15T12:41:25Z
dc.date.available2021-05-15T12:41:25Z
dc.date.issued2019
dc.departmentEczacılık Fakültesien_US
dc.descriptionAksu, Buket/0000-0001-7555-0603;
dc.description.abstractThe purpose of this study was to develop sustained release direct compressible alfuzosin (ALF) hydrochloride (HCl) tablet based on the concept of quality by design (QbD) approach using artificial neural network programs. At the first step of the study, the target product profile (TPP) of the formulation was defined. Subsequently, risk assessment tools were used to determine critical quality attributes (CQAs) and critical formulation parameters (CFPs). In-process control tests, assay and dissolution studies were performed. The test results were transferred to the artificial neural network (ANN) and the program was trained based on these data. The program offered new tablet formulations which have not been studied before and dissolution test results of this formulation was highly similar to the reference product's results than the other formulations. In conclusion, using the ANN programs within the scope of QbD approach for solid dosage formulation developments brings a lot of industry-wide benefits and advantages to ease scaling-up and meet the recent ICH guideline requirements.en_US
dc.identifier.endpage676en_US
dc.identifier.issn0326-2383
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85065254605
dc.identifier.scopusqualityQ4
dc.identifier.startpage668en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/801
dc.identifier.volume38en_US
dc.identifier.wosWOS:000466721600005
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAksu, Buket
dc.language.isoen
dc.publisherColegio Farmaceuticos Provincia De Buenos Airesen_US
dc.relation.ispartofLatin American Journal of Pharmacy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAlfuzosinen_US
dc.subjectComputerized Systemen_US
dc.subjectNeural Networksen_US
dc.subjectQuality By Designen_US
dc.subjectSustained Release Tableten_US
dc.titleDeveloping alfuzosin tablet formulation based on quality by design (QbD) approach by using artificial neural network
dc.typeArticle

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