Evaluation of emulgel formulations contain diclofenac sodium via quality by design approach

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dc.contributor.authorKalayi, Mohammed
dc.contributor.authorYeğen, Gizem
dc.contributor.authorOkur, Neslihan Üstündağ
dc.contributor.authorAksu, Buket
dc.date.accessioned2022-06-10T08:39:03Z
dc.date.available2022-06-10T08:39:03Z
dc.date.issued2022en_US
dc.departmentFakülteler, Eczacılık Teknolojisi Bilimleri Bölümü, Farmasötik Teknoloji Ana Bilim Dalıen_US
dc.description.abstractEmulgel is considered as emulsions, either oil-in-water or water-in-oil type, that is formed via blending with a gelling agent. Their common usage as pharmaceutical dosage form results from the broad utilization of emulsion systems, particularly for dermatological formulations. Quality by Design (QbD) is a scientific, holistic, risk-based, systematic, and proactive approach that starts with predefined objectives and assertiveness on product quality, procedure understanding, and process control. In this study, the QbD approach was implemented in the production of emulgel containing diclofenac sodium and the goal was to build quality into the product from the inception of formulation development. The hydrogel phase and oil phase of emulgel were prepared separately, then mixed. Emulgels were evaluated for their macroscopic, and microscopic examination, pH, electrical conductivity measurements, and viscosity. The optimum formulation was found by using the ANN Modelling program. According to macroscopic evaluation the optimum emulgel was an opaque white color, and homogeneous with no phase separation or grittiness. The viscosity of the optimum formula is 4600, pH value is 6.7, electrical conductivity is 120 µS-1, and particle diameter was also 0,989 µm. Results showed the optimized formula has the required properties. ANN modeling technique has been used to develop a pharmaceutical formulation via determining multivariate relations between independent parameters and quality properties affected by these parameters. Although artificial intelligence programs are not enough to build and develop formulations by itself, they play a significant role in formulation development.en_US
dc.identifier.citationKalayi, M., Yeğen, G., Okur, N., Aksu, Buket. (2022). Evaluation of emulgel formulations contain diclofenac sodium via quality by design approach. Journal of Research in Pharmacy. 26(3), 460-468.en_US
dc.identifier.endpage468en_US
dc.identifier.issn2630-6344
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85130840922
dc.identifier.scopusqualityQ3
dc.identifier.startpage460en_US
dc.identifier.trdizinid515795
dc.identifier.urihttps://hdl.handle.net/20.500.12939/2476
dc.identifier.volume26en_US
dc.identifier.wosWOS:000799604300003
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorKalayi, Mohammed
dc.institutionauthorYeğen, Gizem
dc.institutionauthorAksu, Buket
dc.language.isoen
dc.relation.ispartofJournal of Research in Pharmacy
dc.relation.isversionof10.29228/jrp.143en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectCarbopol 940en_US
dc.subjectDiclofenac Sodiumen_US
dc.subjectEmulgelen_US
dc.subjectOptimizationen_US
dc.subjectQuality by Designen_US
dc.titleEvaluation of emulgel formulations contain diclofenac sodium via quality by design approach
dc.typeArticle

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