Multiobjective Optimization of Total Monomeric Anthocyanins and Total Flavonoids Contents in Ultrasound‐Assisted Extraction from Purple Potato Tubers

Abstract

AbstractThe total monomeric anthocyanins (TAC) and total flavonoids (except anthocyanins) contents (TFC) in ultrasound‐assisted extraction from purple potato tubers have been established by analytical methods. In order to study the influences of two ultrasound‐assisted extraction parameters (sonification time and solvent/solid ratio) on TAC and TFC, a 23 experimental design was performed. The second‐order polynomials calculated by regression have shown very good predictions. The sensitivity of the considered ultrasound‐assisted extraction parameters have been investigated by Monte Carlo simulations. The simultaneous maximization of TAC and TFC was the aim of a multiobjective optimization problem which has been solved by two methods, namely weighted sum and Pareto‐optimal front. The maximum of TAC is obtained for the lower bound value of sonification time (5 min) and for a solvent/solid ratio of 20.66. The maximum of TFC is obtained for a sonification time of 13.39 min and for a solvent/solid ratio of 21.09.Practical ApplicationsAnthocyanins and flavonoids present an important antioxidative activity and can play an important role in protection against neuronal and cardiovascular diseases, cataract, cancer, diabetes and aging‐related disorders. This research explored the use of polynomial regression of experimental data, sensitivity analysis and multiobjective optimization to find the best values of sonification time and solvent/solid ratio for maximization of total monomeric anthocyanins and total flavonoids contents in ultrasound‐assisted extraction from purple potato tubers. Both multiobjective optimization methods used here give large sets of optimal solutions. From these can be selected the solution corresponding to the best compromise of two objectives. On the base of the experimental and mathematical investigations it is proposed a small scale, batch industrial process.