文献类型： 外文期刊

作者： Zhao, Danqing ¹ ; Kai, Jianrong ² ; Zhao, TingBin ¹ ; Qiao, Changsheng ¹ ;

作者机构： 1.Ningxia Acad Agr & Forestry Sci, Shizuishan, Ningxia, Peoples R China

2.Ningxia Res Inst Qual Stand & Testing Technol Agr, Yinchuan, Ningxia, Peoples R China

期刊名称：2020 3RD INTERNATIONAL CONFERENCE OF GREEN BUILDINGS AND ENVIRONMENTAL MANAGEMENT

ISSN： 1755-1307

年卷期： 2020 年 531 卷

页码：

收录情况： SCI

摘要： Extracting the polyphenol from the fruit of the Lycium barbarum L. by using a solvent method. On the basis of single factor test, the content of chlorogenic acid in polyphenol was the main factor, and the content of chlorogenic acid in polyphenol was the response value.The extraction conditions were optimized by three factors and three levels Box-Behnken test.The results showed that the relative effects of each factor on the extraction rate of Lycium barbarum L. polyphenols were as follows: extraction solvent, solid-liquid ratio and extraction times.Through the regression model analysis predicted by response surface method, the optimum extraction conditions of Lycium barbarum L. polyphenols can be predicted as follows: 72% methanol, the ratio of material to liquid is 1:19, the extraction times is 2.15 times, and the content of chlorogenic acid in Lycium barbarum is 0.0842 g/100g. In order to investigate the consistency between the test results and the real situation, the verification test was carried out. The extraction process was set to 2 times, and the content of chlorogenic acid was 0.0837 g / 100g.The predicted process conditions by regression equation are in good agreement with the actual situation, which proves that the model is effective and the process is stable and feasible.