Primena metode odzivnih površina za modelovanje i optimizaciju mikrotalasne ekstrakcije aronije

Abstract

Optimization of chokeberry (Aronia melanocarpa) microwave-assisted extraction (MAE) with different microwave power (300, 450, 600 W), ethanol concentration (25, 50, 75 %) and extraction time (5, 10, 15 min) were analyzed using response surface methodology (RSM). The predicted maximum extractive substances yield (ESY) of 19.2 g/100 g of the fresh plant material was obtained at the optimal condition (525 W, 62.5%, 15 min), while 20.1 g /100 g of the fresh plant material was obtained from laboratory experiments. The most effective process parameter was extraction time. In order to rationalize the production and minimize costs, optimal economic conditions have been proposed, so the extraction parameters were set as follows: 417.5 W, 43.03%, 11.2 min. Under these conditions, the model predicts the ESY of 16.95 g/100 g of the fresh plant material which means that it is possible to obtain 88% of the maximum predicted ESY, but with a significantly reduced price per unit of the final product. The experimental values under optimal conditions agreed with those predicted within a 95% confidence interval, thus indicating the suitability of RSM in optimizing MAE of chokeberry.