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.

In the significance testing of the coefficients for the quadratic model regression equation, the Prob > F values for X 1 (ethanol concentration) and X 2 (liquid-to-solid ratio) were both lower than 0.01, indicating a highly significant linear effect on the TFO ultrasonic extraction efficiency.

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