2015
DOI: 10.1016/j.apt.2014.10.004
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The impact of preparation parameters on sustained release aceclofenac microspheres: A design of experiments

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Cited by 33 publications
(15 citation statements)
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“…Numerical optimization technique using the desirability function approaching 1 for obtaining optimized formulation indicated desirable range for independent variables A and B to get the optimum response for further investigation. SEM study revealed that the discrete, uniformly shaped spherical microspheres were hour (Y4) showed that as the drug: polymer ratio was varied towards higher side, the drug release retarded from the formulations as diffusional path length for drug release increased while with increase in stirring speed the interfacial area per unit volume increased, so, the drug release also increased [8,[26][27][28].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Numerical optimization technique using the desirability function approaching 1 for obtaining optimized formulation indicated desirable range for independent variables A and B to get the optimum response for further investigation. SEM study revealed that the discrete, uniformly shaped spherical microspheres were hour (Y4) showed that as the drug: polymer ratio was varied towards higher side, the drug release retarded from the formulations as diffusional path length for drug release increased while with increase in stirring speed the interfacial area per unit volume increased, so, the drug release also increased [8,[26][27][28].…”
Section: Discussionmentioning
confidence: 99%
“…With the progressive research in formulation development for designing an optimum formulation with desired performance characteristics, several Statistical experimental designs such as factorial design, response surface methodology have emerged as powerful and systematic tools in multiple factor optimizations in fewer experimental trials [1][2][3][4]. Therefore, quality by design in this research protocol has been built-in by using response surface methodology by applying the most popular design of experiment, Central Composite Design (CCD); that describes optimal liaison among the process variables and responses for preparation of dosage form with desired performance characteristics [5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…Drug content was determined with the help of double beam UV‐visible spectrophotometer (U‐2900, Hitachi, Japan) by measuring absorbance at 266 nm wavelengths. To study the mechanism of drug release from the carrier system, zero order, first order, Higuchi equation and Korsmeyer–Peppas equation were selected as a model dependent approach to characterize the dissolution profile . These selected models are often used to describe the drug release from the polymeric system when the mechanism is not well known or when more than one type of release phenomenon is involved.…”
Section: Characterizationmentioning
confidence: 99%
“…To study the mechanism of drug release from the carrier system, zero order, first order, Higuchi equation and Korsmeyer-Peppas equation were selected as a model dependent approach to characterize the dissolution profile. [61][62][63] These selected models are often used to describe the drug release from the polymeric system when the mechanism is not well known or when more than one type of release phenomenon is involved. The model which gave the highest coefficient of determination (R 2 ) was considered to be the most suitable kinetic model for describing the release of FMT from the carrier system.…”
Section: In Vitro Drug Releasementioning
confidence: 99%
“…The 106 investigation of dynamic vapour sorption of EM (and the related 107 modulated differential scanning calorimetry studies) was included 108 as well as an experimental design to optimize disintegration time 109 and tensile strength of tablets. Design of experiments approach is 110 often applied to optimize pharmaceutical powders [36]. after 100 rounds on ten tablets.…”
mentioning
confidence: 99%