Abstract:

Response surface methodology (RSM) was used to optimize the adsorption capacity of anionic starch microspheres to arginine used as a drug model. A series of single-factor experiments was carried out to investigate the respective effects of 4 independent variables, including sodium tripolyphosphate amount, reaction temperature, length of soaking time and length of reaction time. Subsequently, a mathematical mode for the adsorption capacity as a function of the above variables was established based on a 4-variable, 5-level central composite design (CCD). Finally, the interactive effects of the independent variables on the adsorption capacity were examined using response surface analysis. The results showed that the optimal values of sodium tripolyphosphate amount, reaction temperature, length of soaking time and length of reaction time were determined to be 0.82 g, 80.52 ℃, 12 h and 1 h, respectively. Under the optimized parameters, the adsorption capacity was predicted to be 3.341 mg/g and observed to be 3.308 mg/g, 0.033 mg/g higher than the predicted value, with an increase by 95.16% than before the optimization.

Key words: anionic starch microspheres, adsorption medicament, arginine