摘要
为优化超声波辅助提取红花紫荆叶多酚的提取工艺,在单因素试验的基础上,选择液料比(X_1)、乙醇浓度(X_2)及pH(X_3)为自变量,以红花紫荆叶多酚提取率为响应值,采用中心组合(Box-Behnken)实验方法,进行3因素3水平的试验设计,研究了各自变量及其交互作用对多酚提取率的影响。利用Design-Expert软件,建立了多酚提取率与提取过程各因素的数学回归模型,确定了最佳工艺条件。结果表明乙醇浓度是对响应值影响最大的因素,修正后的最佳提取条件为液料比37:1、乙醇浓度74%、pH 6,在此条件下,多酚实际提取率为1.47%,与模型预测值(1.49%)基本一致,说明响应面法对红花紫荆叶多酚的提取条件优化合理可行。
The extraction of polyphenols from B. blakeana Dunn leaves by ultrasonic - assisted extraction was optimized. Based on single factor experiments, ratio of liquid to solid, ethanol concentration and pH were selected as independent variables, and the yield of polyphenols as response value, the experiment method was designed according to Box -Behnken central composite design with 3 factors and 3 levels, the effects of each independent variables and their interactions on the yield of polyphenols were studied. The mathematical regression model of the yield of polyphenols and each factor was established by using the Design - Expert software and the optimum condition was determined. The results showed ethanol concentration was the most significant factor to affect response value. The modified optimum extraction condition was ratio of liquid to solid 37： 1, ethanol concentration 74%, pH 6. Under the condition, polyphenols yield was 1.47% , which was basically the same as predictive value of 1.49% by the model, which meant the optimization of the extraction of the polyphenols from B. blakeana Dunn leaves by response surface methodology was reasonable and practicable.
出处
《粮油食品科技》
北大核心
2014年第5期38-43,共6页
Science and Technology of Cereals,Oils and Foods
基金
国家自然科学基金(81360277)
关键词
红花紫荆
多酚
超声波辅助提取
响应面分析
B. blakeana Dunn
polyphenol
ultrasonic - assisted extraction
response surface methodology
