摘要
采用响应面法对超声辅助提取花生壳多酚的工艺条件进行优化。在单因素试验的基础上选取乙醇体积分数、液固比、超声功率和提取温度四因素,利用Box-Benhnken试验和响应面分析法,研究了各自变量交互作用及其对花生壳多酚提取率的影响,模拟得到二次多项式回归方程的预测模型。结果表明,超声辅助提取花生壳多酚的最佳工艺条件为:乙醇体积分数68%、液固比(mL/g)43:1、超声功率120 W,提取温度78℃,多酚类物质的实测得率(1.67%)与响应曲面拟合所得方程的预测值(1.69%)符合良好。
Abstract. Response surface methodology （RSM） was selected to optimize for the ultrasonic-assisted extraction process of polyphennols from peanut shell. Based on the experiment of a single factor,the mathematical regression model was established about the dependent variable＇s （extraction yield of polyphennols） and independent variables （ethanol concentration, ratio of liquid to solid, ultrasonic power, and extraction temperature） through Box-Benhnken design and RSM. The results showed optimum extraction parameters were could be. ethanol concentration of 68% （v/v）,the ratio of liquid to solid of 43.1（mL/g）,ultrasonic power of 120 W,extraction temperature of 78℃. Under these conditions,the practical yield of polyphennols was 1. 670/00 ,which was consistent with the predicted yield of polyphennols of 1.69%.
出处
《南昌大学学报（理科版）》
CAS
北大核心
2011年第3期241-246,共6页
Journal of Nanchang University(Natural Science)
基金
国家自然科学基金资助项目(31060210)
江西省科技支撑计划基金资助项目(2009BNA09000)
关键词
花生壳
多酚
响应面
超声提取
peanut shell
polyphennols
response surface methodology
ultrasonic extraction
作者简介
胡明明（1986-），男，硕士生。
张国文（1966-），男，教授，博士，博士生导师。E-mail：gwzhang@ncu．edu．cn
