Optimization with genetic algorithms of chlorogenic acid's extraction and purification from native potato (Solanum tuberosum L.) peel, using an aqueous two-phase system

Abstract

Chlorogenic acid is one of the main phenolic components of potatoes (Solanum tuberosum L.). Researchers have demonstrated that this phenolic compound is a higher concentration in the native Huagalina potato peel and is also found in the whole tuber's cooking water. This research aims to extract and purify chlorogenic acid (CGA) from potato Huagalina peel obtained from discarded manufacturing for snacks, using an Aqueous Two-Phase System (ATPS). The central composite design rotatable (CDDR); Response Surface Methods (RSM) in R x 64 4.0.3 and RSM package was used to identify the regions of interest that resulted in the best extraction levels. The concentration of ethanol (EtOH) and disodium phosphate (DSP) were selected as factors capable of affecting CGA performance. Extraction efficiency values for concentrations were optimized using genetic algorithms (GA) applying the R package GA. . In the present research, a high value of 0.8 was applied, which produced new "offspring" solutions, which share some good characteristics taken from both parents. The mutation is applied after the crossover, altering some genes in the chains, which was 0.1. According to what has been reported, the offspring can replace the entire population or replace individuals with less aptitude. This evaluation cycle and selection-reproduction cycle were repeated until a satisfactory recovery of CGA (97.2%) estimated with GA at a pH of 3.4 (25ºC) was achieved, yielding 443.7 ± 0.062 mg CGA / 100 g dry weight of potato peels.