摘要
采用响应面法对金银花叶多酚提取工艺进行优化。在单因素试验基础上,选择不同乙醇体积分数、料液比、超声时间为自变量,金银花叶多酚提取率为响应值,利用Box-Benhnken中心组合方法进行三因素三水平的试验设计,并做响应面分析(RSA),建立数学回归模型。结果表明,曲面回归方程拟合性好,多酚的最佳提取工艺条件为:乙醇体积分数52%,液料比21mL/g,超声时间27min,在此条件下,金银花叶多酚提取率理论值为4.30%,验证实测值为4.41%,与理论值相对误差为2.56%。说明该工艺稳定、可行。
Response surface methodology was applied to optimize the extraction conditions of total polyphenols in Lonicera japonica leaves.On the basis of single-factor test,the mathematical regression model was established about the dependent variable（extraction yield of Lonicera japonica leaves total polyphenols） and independent variables （ethanol concentration,ratio of solvent to material,ultrasonic time） through Box-Benhnken center composite design and response surface analysis.The results show that regression equation fit well with experimental data,the optimum condition of total polyphenols extraction are： ethanol concentration of 52%,ratio of solvent to material of 21 mL/g,extraction time of 27 min,The predictive maximum yield of Lonicera japonica leaves was 4.30%.The average validation value was 4.41%.The relative error between them was 2.56%.The optimized technology is stable and viable.
出处
《中国食品学报》
EI
CAS
CSCD
北大核心
2011年第2期115-121,共7页
Journal of Chinese Institute Of Food Science and Technology
关键词
金银花叶
多酚
响应面分析法
Lonicera japonica leaves
polyphenols
response surface analytical method
