Optimization of Preparation Technology of Stachydrine in Fructus Leonuri Based on Back-propagation Neural Network and Genetic Algorithm / 广州中医药大学学报

ABSTRACT

Objective To optimize the preparative procedure for stachydrine in Fructus Leonuri. Methods The preparation was screened by orthogonal experiment, and a mathematical model of relationship of extraction time, methanol concentration, and solid-liquid ratio with the content of stachydrine hydrochloride was established by using back-propagation (BP) neural network. And the process parameters were optimized with genetic algorithm (GA) . Results The optimum process parameters were as follows extraction with 69% of methanol concentration and with solid-liquid ratio being 11 times for 62 min. The content of stachydrine obtained by BP neural network modeling and GA was higher than that achieved by orthogonal experiment. Conclusion The optimum preparative procedure could be achieved by combining BP modeling with GA. The model developed in this study was proved to be predictable and feasible for the optimization of process parameters of multi-dimension nonlinear system.