响应面分析法优化湘西月见草籽油的超临界萃取工艺研究

Optimization of SF-CO_2 Extraction of Essential Oil from Seeds of Evening Primrose (Oenothera biennis) Grown in West Hunan Province by Response Surface Methodology

为优化超临界CO2萃取湘西"腊尔山1号"月见草籽油的工艺,在单因素预试验基础上,选择萃取压力、萃取温度、分离温度、萃取时间为自变量,月见草籽油提取率为响应值,根据中心组合设计(central composite design,CCD)试验设计原理采用四因素五水平的响应面分析法,依据回归分析确定各工艺条件的影响因素,以月见草籽油提取率为响应值作响应面和等高线。在分析各个因素的显著性和交互作用后,模拟得到二次多项式回归方程的预测模型,并确定月见草籽油提取率的最佳工艺条件为萃取压力39MPa、萃取温度43℃、分离温度40℃、萃取时间70min,在此条件下,月见草籽油提取率达到20.07%。

Seeds of evening primrose variety Laer Mountain No. 1 grown in west Hunan province were used as the raw material to extract essential oil in a supercritical fluid supercritical CO2 extraction apparatus. A series of central composite design experiments was conducted for developing a mathematical regression model for oil yield as a response of four variables （namely extractionpressure, extraction temperature, separation temperature, and extraction time）. Besides, based on this, response surface and contour plots were drawn for analyzing the interactive effects of the above variables on oil yield. Results indicated that the optimal extraction process was obtained as follows： 39 MPa of extraction pressure, extraction temperature of 43 ℃, separation temperature of 40 ℃, 70 min of extraction time, which resulted in a maximum oil yield of 20.07%.