Optimization of calcium alginate preparation in aqueous by response surface methodology

Abstract EN

In this study, a statistical software package and design of experiment were applied for the preparation of calcium alginate in aqueous.

Alginate which is originates from polysaccharide brown algae with different type of uranic and ma-nuronic chains were used as an intermediate, blended with calcium carbonate powder for macro size adsorbent preparation.

Though adsorption has been an ideal choice in waste water purification, the needs to find an alternative source of adsorbent has received considerable interests recently.

In this study, a central composite design was used to develop a model to predict and optimize the preparation condition of calcium alginate.

Mathematical model equations were obtained from simulation programming.

Analysis of variance (ANOVA) for viscosity and pH (responses) indicated that the model was adequate to fit the experimental data (p values, lack of fit, R2adj).

From the statistical parameters, it showed that the quadratic effects for both calcium carbonate and alginate powder were the most significant.

Meanwhile, the correlation coefficient, R2for both independent variables (calcium carbonate and alginate) of 0.9974 and 0.9008 implied that the developed models weread-equate to navigate the design space.

The optimum preparation condition was carried out by compromising the independent factors and responses at different criteria.

Finally, the optimum preparation condition for calcium alginate was obtained with 2.00 g of calcium carbonate and 10 % (w/v) that result in 38 cP of viscosity at pH 10, respectively.