【摘要】 以甘草中主要生理活性物质甘草酸的超声提取工艺为研究对象,在传统的正交试验方法的基础上,用人工神经网络方法进行优化,获得了超声提取甘草酸的优化工艺条件,即乙醇浓度40%、超声次数4次、提取温度20℃、提取时间20min、超声频率13kHz、固液比为1:10。该优化工艺条件操作简便、能耗低、提取率高,是合理可行的。更多还原

【Abstract】 The supersonic-assisted extracting technology of glycyrrhizic acid from liquorice was researched. Combined artificial neural network(ANN) with traditional orthogonal design, a new method of test data analyzing, processing and optimizing was put forward. With this method the test information can be fully used, the change regularity of each factor can be analyzed and the optimum combination can be found. By using this new method, the optimum extraction condition was obtained as follows: ethanol concentration 40%, supersonic time 50min, extracting temperature 20℃, extracting time 20min, supersonic frequency 13kHz and ratio of solid-liquid 1:10. Optimizing extraction technology by ANN, the experimental information could be dig out completely. Applying this preferable extracting technology, the costs of production was reduced, the energy consuming was decreased, and the glycyrrhizic acid content was increased. The results showed that this new method was reasonable and practicable.更多还原