Optimization of ultrasound-assisted extraction of bioactive compounds from acerola waste

Abstract

The industrial processing of acerola (Malpighia emarginata D.C.) produces huge quantities of waste material that are badly discarded or undervalued. In spite of this, acerola wastes have a high content of antioxidant compounds. The aim of this work was to study the extraction of antioxidant compounds from acerola residues using ultrasound assisted extraction. Using multiple regression techniques, the effects of ethanol concentration in the hydroethanolic solution (C), extraction time (t), temperature (T), and liquid-solid ratio (R) on the total phenolic content, total flavonoid content and antioxidant potential were investigated. The best extraction conditions were identified using the desirability function, which is a multi-response optimization technique. The optimal processing parameters were 67.5% of ethanol concentration, temperature of 80.9 °C, liquid/solid ratio of 59.8 mL/g, and extraction time of 13.6 min. HPLC-UV has been used to identify the main antioxidant compounds obtained under these optimal condition. Based on the results, acerola waste has high potential for better use, such as in food and pharmaceutical applications.

A Greener and Faster Approach for Determination of Phenolic Compounds by Smartphone-Based Colorimetry

“…The TPC determined by spectrophotometry and smartphone-based colorimetry were in close agreement (differences not significant at 95% of confidence level, as evaluated by a paired t-test) as demonstrated in Table 1. Values varied from 76.5 ± 0.9 to 145.0 ± 0.7 mg GAE g −1 of dried acerola, which agreed with those reported in the literature (from 9.1 to 152.54 mg GAE g −1 of dried acerola [16]). The experiment number 11 (extraction with 17% (v/v) ethanol, at 38 °C for 50 min) presented the highest efficiency of extraction of phenolic compounds.…”

Optimization of ultrasound‐assisted extraction of ascorbic acid, protein and total antioxidants from cashew apple bagasse using artificial neural network‐genetic algorithm and response surface methodology

“…The experiment responses are fitted to the non‐linear regression equations by various design techniques such as rotatable central composite design, box‐Behnken design, etc. There are some studies on optimization of UAE of bioactive compounds from fruit by‐products using RSM such as grape peel (Wang et al., 2015), pomegranate peel (Kumar & Rao, 2020), and acerola waste (Silva et al., 2020). But in the last two decades, the artificial neural network (ANN) has been preferred for non‐linear multivariate modeling.…”

Application of artificial neural network‐genetic algorithm and response surface methodology for optimization of ultrasound‐assisted extraction of phenolic compounds from cashew apple bagasse

“…Ultrasound-assisted extraction (UAE) is one of the emerging techniques with various advantages over conventional extraction techniques such as maximum efficiency, maximum yield, minimum solvent requirement, less extraction time, no involvement of any chemicals, and minimum damage to the extracted compounds (Carrera et al, 2012;Meregalli et al, 2020;P. B. Silva, Mendes, Rehder, Duarte, & Barrozo, 2020).…”

“…The former effect leads to the velocity of penetration of solvent into the cell's pores after the implosion. The latter refers to the permeability of the cell toward the solvent for the release of extract (Dias et al, 2017;P. B. Silva et al, 2020;Zhang et al, 2008).…”