Application of design of experiments and multilayer perceptrons neural network in the optimization of diclofenac sodium extended release tablets with Carbopol 71G.

The purpose of the study was to screen the effects of formulation factors on the in vitro release profile of diclofenac sodium from matrix tablets using design of experiment (DOE). Formulations of diclofenac sodium tablets, with Carbopol 71G as matrix substance, were optimized by artificial neural network. According to Central Composite Design, 10 formulations of diclofenac sodium matrix tablets were prepared.

Application of mixture experimental design in the formulation and optimization of matrix tablets containing carbomer and hydroxy-propylmethylcellulose.

Using mixture experimental design, the effect of carbomer (Carbopol((R)) 971P NF) and hydroxypropylmethylcellulose (Methocel((R)) K100M or Methocel((R)) K4M) combination on the release profile and on the mechanism of drug liberation from matrix tablet was investigated. The numerical optimization procedure was also applied to establish and obtain formulation with desired drug release. The amount of TP released, release rate and mechanism varied with carbomer ratio in total matrix and HPMC viscosity.

An investigation into effects of in vitro test condition on the release properties of theophylline from HPMC matrices using factorial design.

The purpose of this study was to investigate the effect of various in vitro test conditions, on the release properties of theophylline (TP) from aminophylline (AP) matrices based on different hydroxypropylmethylcellulose (HPMC) ratio and viscosity grades. The general full factorial experimental design 3 x 3 x 3 was used, based on three independent variables: applied in vitro test (X1), HPMC/drug ratio (X2) and polymer viscosity grade (X3). The drug release percent at 2h (Y(2h)), 4h (Y(4h)) and 8 h (Y(8h)) and time for 50% of TP release from matrices (Y(T50%)) were response variables.