2006
DOI: 10.1016/j.ijpharm.2005.11.032
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Hydrophilic matrices: Application of Placket–Burman screening design to model the effect of POLYOX–carbopol blends on drug release

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Cited by 45 publications
(24 citation statements)
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“…This design investigates every input factor and arranges them on the Pareto chart based on the magnitude of its influence with positive or negative sign respectively (color and colorless) [10]. PB design screens large number of input factors and at the same time reduces the number of runs [11,12]. 't' statistic is determined by estimating the standard effect of each input factor.…”
Section: Spray Drying Processmentioning
confidence: 99%
See 1 more Smart Citation
“…This design investigates every input factor and arranges them on the Pareto chart based on the magnitude of its influence with positive or negative sign respectively (color and colorless) [10]. PB design screens large number of input factors and at the same time reduces the number of runs [11,12]. 't' statistic is determined by estimating the standard effect of each input factor.…”
Section: Spray Drying Processmentioning
confidence: 99%
“…Where, Y is the response, A0 is the constant, and A1 is the coefficients of the response [11] Characterization of drugs loaded polymeric nanoparticles.…”
Section: Spray Drying Processmentioning
confidence: 99%
“…According to the proposed model, 12 experiments were performed and a polynomial model was generated. Out of the seven variables, only two were proved to be significant [46].…”
mentioning
confidence: 95%
“…The impact of various factors like polymer concentration, drug loading, drug solubility, diluent, and ionic concentration on the release of the drug from the extended release formulations has been reported in the literature (29)(30)(31). In the development of extended release formulations, it becomes difficult to ascertain factors affecting the release of the drug from the extrudates.…”
Section: Introductionmentioning
confidence: 99%