Literature DB >> 22670808

Optimization of primaquine diphosphate tablet formulation for controlled drug release using the mixture experimental design.

Marcelo Dutra Duque1, Rogério Nepomuceno Kreidel, Maria Elena Santos Taqueda, André Rolim Baby, Telma Mary Kaneko, Maria Valéria Robles Velasco, Vladi Olga Consiglieri.   

Abstract

A tablet formulation based on hydrophilic matrix with a controlled drug release was developed, and the effect of polymer concentrations on the release of primaquine diphosphate was evaluated. To achieve this purpose, a 20-run, four-factor with multiple constraints on the proportions of the components was employed to obtain tablet compositions. Drug release was determined by an in vitro dissolution study in phosphate buffer solution at pH 6.8. The polynomial fitted functions described the behavior of the mixture on simplex coordinate systems to study the effects of each factor (polymer) on tablet characteristics. Based on the response surface methodology, a tablet composition was optimized with the purpose of obtaining a primaquine diphosphate release closer to a zero order kinetic. This formulation released 85.22% of the drug for 8 h and its kinetic was studied regarding to Korsmeyer-Peppas model, (Adj-R(2) = 0.99295) which has confirmed that both diffusion and erosion were related to the mechanism of the drug release. The data from the optimized formulation were very close to the predictions from statistical analysis, demonstrating that mixture experimental design could be used to optimize primaquine diphosphate dissolution from hidroxypropylmethyl cellulose and polyethylene glycol matrix tablets.

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Year:  2012        PMID: 22670808     DOI: 10.3109/10837450.2012.693508

Source DB:  PubMed          Journal:  Pharm Dev Technol        ISSN: 1083-7450            Impact factor:   3.133


  1 in total

1.  Development of Extended-Release Mini-Tablets Containing Metoprolol Supported by Design of Experiments and Physiologically Based Biopharmaceutics Modeling.

Authors:  Michele Georges Issa; Natalia Vieira de Souza; Bruna Wenyi Chuang Jou; Marcelo Dutra Duque; Humberto Gomes Ferraz
Journal:  Pharmaceutics       Date:  2022-04-19       Impact factor: 6.525

  1 in total

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