2007
DOI: 10.1016/j.ijpharm.2006.09.060
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Quality by design: Understanding the formulation variables of a cyclosporine A self-nanoemulsified drug delivery systems by Box–Behnken design and desirability function

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Cited by 125 publications
(57 citation statements)
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“…The zeta potential is an important physicochemical characteristic of the nanoparticles. Zeta potential values in therange of −15 mV to −30 mV are common for wellstabilized nanoparticles (Pandya et al 2010;Zidan et al 2007). Famotidine micronized suspension had -3 mv zeta potential value.…”
Section: Characterization Of Optimized Famotidine Nanosuspensionmentioning
confidence: 99%
“…The zeta potential is an important physicochemical characteristic of the nanoparticles. Zeta potential values in therange of −15 mV to −30 mV are common for wellstabilized nanoparticles (Pandya et al 2010;Zidan et al 2007). Famotidine micronized suspension had -3 mv zeta potential value.…”
Section: Characterization Of Optimized Famotidine Nanosuspensionmentioning
confidence: 99%
“…This is because these design methods provide suitable mathematical models; for example, the quadratic model in order to predict the responses being studied. Box-Behnken designs are suitable for exploring quadratic response surfaces and constructs according to a second-order polynomial model, thus assisting in the optimization of a formulation with a small number of experimental runs (Zidan et al, 2007). Due to these advantages, Box-Behnken designs have been recently applied toward the optimization of different types of formulations.…”
Section: Analysis Of the Statistical Designmentioning
confidence: 99%
“…The aim of pharmaceutical formulation optimization is generally to find the levels of the variable that affect the chosen responses and determine the levels of the variable from which a robust product with high quality characteristics may be produced (17). All the measured responses that may affect the quality of the product should be taken into consideration during the optimization procedure.…”
Section: Formulation Optimization Using the Desirability Functionmentioning
confidence: 99%