摘要
利用超临界CO2萃取技术,在单因素试验的基础上,采用中心组合响应面法,建立北五味子藤茎挥发油超临界CO2萃取的回归模型。研究结果表明,萃取压力、萃取温度、CO2流速对萃取率的影响显著,萃取压力和CO2流速以及萃取温度和CO2流速的交互效应影响显著,解析矩阵可知,在萃取压力36.32MPa,萃取温度42.27℃、CO2流速17.01L/h,预测最大萃取率为0.432%,验证实验证实该方程有很好的拟合度。该方法具有萃取率高、污染小、节约能源的特点。
Based on the single factor experimental results,response surface methodology （RSM） was employed to optimize the process conditions for extracting essential oil form the caculis of Schisandra chinensis （Turcz.） Baill with supercritical fluid carbon dioxide （SF-CO2）. A three-factor,five-level central composite design （CCD） was used to provide experimental data for establishing a regression model describing the SF-CO2 extraction. Extraction pressure,extraction temperature,CO2 flow rate and cross-interaction between extraction pressure or temperature and CO2 flow rate exhibited a significant effect on oil extraction yield. The optimal extraction conditions were found to be：extraction pressure,36.32 MPa; extraction temperature,42.27 ℃; and CO2 flow rate,17.01 L/h. The extraction yield of oil was 0.432% under these optimal extraction conditions,which was in good agreement with the value predicted by the regression model. This method is characterized by low energy consumption and pollution as well as high efficiency.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2010年第20期132-136,共5页
Food Science
关键词
北五味子
藤茎
油
超临界CO2萃取
响应面法
Schisandra chinensis （Turcz.） Baill
caculis
oil
supercritical fluid CO2 extraction
response surface methodology
