Optimization of ultrasonic-assisted extraction of total flavonoids from <i>Oxalis corniculata</i> by a hybrid response surface methodology-artificial neural network-genetic algorithm (RSM-ANN-GA) approach, coupled with an assessment of antioxidant activities.

ABSTRACT: The objective of this research endeavor is to refine the ultrasonic-assisted extraction technique for total flavonoids from Oxalis corniculata (TFO), utilizing a synergistic approach combining response surface methodology (RSM) and artificial neural network integrated with genetic algorithm (RSM-ANN-GA). The optimized extraction parameters determined through RSM yielded a TFO concentration of 13.538 mg g^-1 under the following conditions: an ethanol concentration of 61.95%, a liquid-solid ratio of 41.06 mL g^-1, an ultrasonic power setting of 351.57 W, and an ultrasonic exposure duration of 58.95 minutes. Conversely, the RSM-ANN-GA approach identified an even more refined set of conditions, achieving a TFO concentration of 13.7844 mg g^-1, with an ethan

SUBMITTER: Jiang DZ 

PROVIDER: S-EPMC11629873 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature