Optimization of the nevadensin extraction conditions from Fewflower Lysionotus using ANN-GA

In order to explore the extraction process of nevadensin from Fewflower Lysionotus, the single factor experiment and artificial neural network-genetic algorithm (ANN-GA) methods were applied to optimize the concentration of ethanol, extracting time, extracting times and solid-liquid ratio.The optimal extraction process of nevadensin was as follows :ethanol concentration 84%, extraction time 2.8h, solid-liquid ratio 1∶17, and extracting 2 times, respectively.Based on this combined conditions, the predicted maximum was 2.35mg/g, and the error of the predicted value of 1.88%.Results indicated that ANN-GA method had wide application prospect in the optimization process.