2014
DOI: 10.1016/j.jare.2013.05.005
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Feasibility of optimizing trimetazidine dihydrochloride release from controlled porosity osmotic pump tablets of directly compressed cores

Abstract: The aim of this study was to develop and optimize Trimetazidine dihydrochloride (TM) controlled porosity osmotic pump (CPOP) tablets of directly compressed cores. A 23 full factorial design was used to study the influence of three factors namely: PEG400 (10% and 25% based on coating polymer weight), coating level (10% and 20% of tablet core weight) and hole diameter (0 “no hole” and 1 mm). Other variables such as tablet cores, coating mixture of ethylcellulose (4%) and dibutylphthalate (2%) in 95% ethanol and … Show more

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Cited by 11 publications
(5 citation statements)
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“…Thus, PEG 400 was selected as water-soluble pore forming agent. All other excipients chosen were based on practical experience and literature review (32,33). The compatibility of TAP and other selected excipients was confirmed from the results of DSC study.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, PEG 400 was selected as water-soluble pore forming agent. All other excipients chosen were based on practical experience and literature review (32,33). The compatibility of TAP and other selected excipients was confirmed from the results of DSC study.…”
Section: Discussionmentioning
confidence: 99%
“…Formula optimization based on statistical experimental design and modeling methods conserves much effort and time and leads to more concrete results. Parent factorial designs and successor response surface designs such as: central composite designs and Box–Behnken designs have been used in many researches for multivariable formulations (Habib et al., 2008 , 2014 ; Said et al., 2018 ; Younes et al., 2018 ). A fact to be considered is that in these designs the change in levels of one independent variable should not affect any other one.…”
Section: Theoretical Developmentmentioning
confidence: 99%
“…In the current work, 16 formulation runs were obtained by applying two level four factors (2 4 ) full factorial design. Habib et al, in 2014 used 2 3 full factorial design to study the impact of different concentrations of rate controlling polymer and coating weight gain percentage on drug release and zero-order regression coefficient (Habib et al, 2014). Two-level factorial design is reported to be adequate when there is existing orthogonality between the dependent and independent variables (Khanvilkar et al, 2002;EL-Shorbagy et al, 2019;Omar et al, 2020).…”
Section: Design Of Experiments (Doe) For Elementary Osmotic Tabletsmentioning
confidence: 99%