2019
DOI: 10.22270/jddt.v9i1-s.2359
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Design of Experiments for the Establishment of the Dissolution Test Conditions of Rupatadine Fumarate 10 mg tablets

Abstract: Design of Experiments (DoE) is a statistical model that aims to determine if the factors under study affect the response, and if so, it determines the conditions under which this variable of interest can be optimized. In terms of pharmaceutical technology, independent variables are usually factors of the formulation, while dependent variables are properties of the product or parameters that indicate the performance of the process. Precisely, the dissolution test is a tool of interest for the developers of medi… Show more

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Cited by 7 publications
(3 citation statements)
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“…By using Dissolution tester model: Pharmatest PTWS 120S (Hainburg, Germany) device II (paddle), ODTs were placed into vessels in 900 ml dissolution media 0.1N HCl, 50 rpm/min, temperature 37±0.5 °C [28]. Sampling intervals were taken at 3,5,15,20,30 and 45 min.…”
Section: In Vitro Dissolutionmentioning
confidence: 99%
“…By using Dissolution tester model: Pharmatest PTWS 120S (Hainburg, Germany) device II (paddle), ODTs were placed into vessels in 900 ml dissolution media 0.1N HCl, 50 rpm/min, temperature 37±0.5 °C [28]. Sampling intervals were taken at 3,5,15,20,30 and 45 min.…”
Section: In Vitro Dissolutionmentioning
confidence: 99%
“…Therefore, the method does not show reproducibility when using this herbal material, like it happened with Chamaemelum nobile. In addition to that, the interaction between the factors will overshadow the effect on the moisture content from the individual ones (Castillo-Henríquez et al, 2019b).…”
Section: Analysis Of Variancementioning
confidence: 99%
“…In such situation, if a pattern is shown when plotting the observation order on the independent axis and the residuals on the dependent axis, then there is a correlation between the errors which clearly doesn't meet the assumption. As can be seen inFigure 2to 6, all the experiments fulfill the requirements of the ANOVA(Castillo-Henríquez et al, 2019b;Gutiérrez-Pulido & De la Vara Salazar, 2008).At this point is important to make reference to the graphical definition of effect of a factor and the main effect. A factor's effect is conceived as the change observed in the response variable due to a level change in the factor.…”
mentioning
confidence: 93%