Formulation optimization of galantamine hydrobromide loaded gel drug reservoirs in transdermal patch for Alzheimer’s disease

Fong Yen Woo,1 Mahiran Basri,1,2 Hamid Reza Fard Masoumi,1 Mansor B Ahmad,1 Maznah Ismail2 1Department of Chemistry, Faculty of Science, 2Laboratory of Molecular Biomedicine, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia Abstract: Galantamine hydrobromide (GH) is...

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Autores principales: Woo FY, Basri M, Fard Masoumi HR, Ahmad MB, Ismail M
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Publicado: Dove Medical Press 2015
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spelling oai:doaj.org-article:9d1f25491b244508b293b23bf10a77c52021-12-02T03:58:32ZFormulation optimization of galantamine hydrobromide loaded gel drug reservoirs in transdermal patch for Alzheimer’s disease1178-2013https://doaj.org/article/9d1f25491b244508b293b23bf10a77c52015-06-01T00:00:00Zhttp://www.dovepress.com/formulation-optimization-of-galantamine-hydrobromide-loaded-gel-drug-r-peer-reviewed-article-IJNhttps://doaj.org/toc/1178-2013Fong Yen Woo,1 Mahiran Basri,1,2 Hamid Reza Fard Masoumi,1 Mansor B Ahmad,1 Maznah Ismail2 1Department of Chemistry, Faculty of Science, 2Laboratory of Molecular Biomedicine, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia Abstract: Galantamine hydrobromide (GH) is an effective drug for Alzheimer’s disease. It is currently delivered via the oral route, and this might cause nausea, vomiting, and gastrointestinal disturbance. In the present work, GH was formulated in a gel-type drug reservoir and then optimized by using response surface methodology (RSM) based on central composite design. This optimization study involved three independent variables (carbopol amount, triethanolamine amount, and GH amount) and two dependent variables (cumulative drug release amount at 8 hours and the permeation flux of drug). Two models using expert design software were fitted into a quadratic polynomial model. The optimized gel was formulated with 0.89% w/w carbopol, 1.16% w/w triethanolamine, and 4.19% w/w GH. Optimization analysis revealed that the proposed formulation has the predicted cumulative drug release amount at 8 hours of 17.80 mg·cm-2 and the predicted permeation flux of 2.27 mg·cm-2/h. These predicted values have good agreement to actual cumulative drug release amount at 8 hours (16.93±0.08 mg·cm-2) and actual permeation flux (2.32±0.02 mg·cm-2/h). This optimized reservoir formulation was then fabricated in the transdermal patch system. This patch system has moderate pH, high drug content, and controlled drug-release pattern. Thus, this patch system has the potential to be used as the drug carrier for the treatment of Alzheimer’s disease. Keywords: response surface methodology, central composite design, analysis of variance, Franz diffusion cellWoo FYBasri MFard Masoumi HRAhmad MBIsmail MDove Medical PressarticleMedicine (General)R5-920ENInternational Journal of Nanomedicine, Vol 2015, Iss default, Pp 3879-3886 (2015)
institution DOAJ
collection DOAJ
language EN
topic Medicine (General)
R5-920
spellingShingle Medicine (General)
R5-920
Woo FY
Basri M
Fard Masoumi HR
Ahmad MB
Ismail M
Formulation optimization of galantamine hydrobromide loaded gel drug reservoirs in transdermal patch for Alzheimer’s disease
description Fong Yen Woo,1 Mahiran Basri,1,2 Hamid Reza Fard Masoumi,1 Mansor B Ahmad,1 Maznah Ismail2 1Department of Chemistry, Faculty of Science, 2Laboratory of Molecular Biomedicine, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia Abstract: Galantamine hydrobromide (GH) is an effective drug for Alzheimer’s disease. It is currently delivered via the oral route, and this might cause nausea, vomiting, and gastrointestinal disturbance. In the present work, GH was formulated in a gel-type drug reservoir and then optimized by using response surface methodology (RSM) based on central composite design. This optimization study involved three independent variables (carbopol amount, triethanolamine amount, and GH amount) and two dependent variables (cumulative drug release amount at 8 hours and the permeation flux of drug). Two models using expert design software were fitted into a quadratic polynomial model. The optimized gel was formulated with 0.89% w/w carbopol, 1.16% w/w triethanolamine, and 4.19% w/w GH. Optimization analysis revealed that the proposed formulation has the predicted cumulative drug release amount at 8 hours of 17.80 mg·cm-2 and the predicted permeation flux of 2.27 mg·cm-2/h. These predicted values have good agreement to actual cumulative drug release amount at 8 hours (16.93±0.08 mg·cm-2) and actual permeation flux (2.32±0.02 mg·cm-2/h). This optimized reservoir formulation was then fabricated in the transdermal patch system. This patch system has moderate pH, high drug content, and controlled drug-release pattern. Thus, this patch system has the potential to be used as the drug carrier for the treatment of Alzheimer’s disease. Keywords: response surface methodology, central composite design, analysis of variance, Franz diffusion cell
format article
author Woo FY
Basri M
Fard Masoumi HR
Ahmad MB
Ismail M
author_facet Woo FY
Basri M
Fard Masoumi HR
Ahmad MB
Ismail M
author_sort Woo FY
title Formulation optimization of galantamine hydrobromide loaded gel drug reservoirs in transdermal patch for Alzheimer’s disease
title_short Formulation optimization of galantamine hydrobromide loaded gel drug reservoirs in transdermal patch for Alzheimer’s disease
title_full Formulation optimization of galantamine hydrobromide loaded gel drug reservoirs in transdermal patch for Alzheimer’s disease
title_fullStr Formulation optimization of galantamine hydrobromide loaded gel drug reservoirs in transdermal patch for Alzheimer’s disease
title_full_unstemmed Formulation optimization of galantamine hydrobromide loaded gel drug reservoirs in transdermal patch for Alzheimer’s disease
title_sort formulation optimization of galantamine hydrobromide loaded gel drug reservoirs in transdermal patch for alzheimer’s disease
publisher Dove Medical Press
publishDate 2015
url https://doaj.org/article/9d1f25491b244508b293b23bf10a77c5
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