Optimization of Ultrasonic-Assisted Extraction Conditions for Bioactive Components and Antioxidant Activity of Poria cocos (Schw.) Wolf by an RSM-ANN-GA Hybrid Approach

• Published in: Foods Vol. 12; no. 3; p. 619
• Main Authors: Chen, Shiqi, Zhang, Huixia, Yang, Liu, Zhang, Shuai, Jiang, Haiyang
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.02.2023; MDPI
• Subjects: Algorithms; antioxidant; Antioxidants; artificial neural network; Artificial neural networks; Efficiency; Ethanol; Food science; genetic algorithm; Genetic algorithms; Glucose; Independent variables; Modelling; Natural products; Neural networks; Optimization; Phenolic compounds; Phenols; Polyphenols; Polysaccharides; Poria cocos; Poria cocos (Schw.) wolf; Reagents; Response surface methodology; Solvents; Beijing China; China; genetic algorithm; artificial neural network; antioxidant; optimization; Poria cocos (Schw.) wolf
• ISSN: 2304-8158; 2304-8158
• DOI: 10.3390/foods12030619

In this study, a response surface methodology and an artificial neural network coupled with a genetic algorithm (RSM-ANN-GA) was used to predict and estimate the optimized ultrasonic-assisted extraction conditions of . The ingredient yield and antioxidant potential were determined with different independent variables of ethanol concentration (X ; 25-75%), extraction time (X ; 30-50 min), and extraction solution volume (mL) (X ; 20-60 mL). The optimal conditions were predicted by the RSM-ANN-GA model to be 55.53% ethanol concentration for 48.64 min in 60.00 mL solvent for four triterpenoid acids, and 40.49% ethanol concentration for 30.25 min in 20.00 mL solvent for antioxidant activity and total polysaccharide and phenolic contents. The evaluation of the two modeling strategies showed that RSM-ANN-GA provided better predictability and greater accuracy than the response surface methodology for ultrasonic-assisted extraction of . These findings provided guidance on efficient extraction of and a feasible analysis/modeling optimization process for the extraction of natural products.