Open AccessStudy on Optimization of extraction process of Lycium barbarum L. polyphenols by Response Surface Methodology
Author(s) -
Dingxin Zhao,
Jianrong Kai,
Ting Bin Zhao,
Changsheng Qiao
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/531/1/012069
Subject(s) - chlorogenic acid , polyphenol , lycium , response surface methodology , extraction (chemistry) , chromatography , chemistry , solvent , biochemistry , medicine , alternative medicine , pathology , antioxidant
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.