Based On Ultrasonic Extracting Chinese Medicine Process Optimization Method Research

Nowadays, the Chinese medicine has been mass produced industrially. Compared with traditional extracting methods, ultrasonic extraction, with higher efficiency and lower energy consumption, is much more convenient and easy to be popularized as well as mass produced. The paper takes puerarin extracting from radix puerariae and chlorogenic acid extracting from honeysuckle as research subjects, selects the optimized ultrasonic extracting parameters and process optimizing methods which could maximize the puerarin extraction rate and chlorogenic acid extraction rate. The paper is a multidisciplinary research, including phonochemistry, information science, mathematic and chemometrics. Based on ultrasonic thermal mechanism, mechanical mechanism as well as cavitation mechanism, the paper uses intensity of power ultrasound, ethanol content, liquid-solid ratio and extracting duration as major parameters to experiment single factor tests. On this basis, it optimizes puerarin and chlorogenic acid parameters by orthogonal experimental design(OED) and Box-Behnken of response surface methodology(RSM) separately, predicts extracting rate by combining support vector machine(SVM) with response surface methodology. The main study focuses on:(1) Research of the ultrasonic single-frequency process parameters on the puerarin and chlorogenic acid extraction. Through the single factor experiment and analysis of ethanol content, intensity of power ultrasound, liquid-solid ratio and extracting duration, obtains the influential degree of extracting rate which provides a theoretical basis for extraction by dual frequency.(2) Process optimization of puerarin and chlorogenic acid by using orthogonal experimental design and response surface methodology Box-Behnken separately on the basis of single factor test, obtains the optimized extracting parameters, puts forward the influence of intensity of power ultrasound, ethanol content, liquid-solid ratio on extracting rate, concludes specific functions of parameters and extraction rate.(3) Combination of response surface methodology and support vector machine, designs the experiments by using response surface methodology, then models the chlorogenic acid prediction on the basis of experimental data, finally predicts and analyzes the optimized parameters.