文章基本信息

标题：Optimization and Modeling of Ultrasound-assisted Extraction of Polysaccharides from Cynomorium songaricum and &alpha-glucosidase Inhibitory Activity
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作者：Tao Guo ; Jun-qing Wei ; Ya Wang 等
期刊名称：Advance Journal of Food Science and Technology
印刷版ISSN：2042-4868
电子版ISSN：2042-4876
出版年度：2015
卷号：7
期号：2
页码：67-73
出版社：MAXWELL Science Publication
摘要：In the study, the extraction processing of polysaccharides from Cynomorium songaricum was optimized by Response Surface Methodology (RSM) and projected by a computer-stimulated Artificial Neural Network (ANN). The optimal process conditions were obtained as follows: extraction temperature 55C, solid-liquid ratio 1:10, power 175 W. Under optimized conditions, The R2 value of 0.99391 and an MSE value of 0.0495 suggested a good generalization of the network and showed a good agreement between the experimental and predicted values. On the other hand, the results also suggested that polysaccharides from Cynomorium songaricum had &alpha-glucosidase inhibitory activity with an IC50 of 8.316 &mug/mL and may be a potential &alpha-glucosidase inhibitory.
关键词：&alpha-glucosidase ; artificial neural network ; Cynomorium songaricum ; polysaccharides ; ultrasonic extraction ;