优化漆籽漆蜡(油)萃取工艺研究

Study on optimization of extraction of lacquer wa(xoil) from Rhus verniciferca seed

为优化超临界CO2流体萃取漆籽中漆蜡(油)工艺,在单因素试验基础上,选择萃取压力、萃取温度、萃取时间、CO2流量为自变量,漆蜡(油)萃取得率为响应值,根据中心组合试验设计原理采用四因素五水平响应面分析法,依据回归分析确定各影响工艺条件因素,以漆蜡(油)萃取得率为响应值作响应面和等高线。在分析各个因素显著性和交互作用后,模拟得到二次多项式回归方程预测模型,并确定漆蜡(油)萃取最佳工艺条件为:萃取压力35 MPa,萃取温度45℃,萃取时间2.5 h,CO2流量18 L/h,漆蜡油萃取得率为32.56%。

Rhus verniciferca Seeds were used as the raw material to extract lacquer wax （ oil ） in a supercritical CO2 extraction apparatus. A series of central composite design experiments were conducted for developing a mathematical regression model for lacquer wax （ oil ） yield as a response of four variables （ namely extraction pressure, extraction temperature, extraction time and CO2 flow rate ）. Besides, based on this, response surface and contour plots were drawn for analyzing the interactive effects of the above variables on lacquer wax （ oil ） yield. Results indicated that the optimal extraction process was obtained as follows： extraction pressure 35 MPa, extraction temperature 45℃, extraction time 2.5 hours, CO2 flow rate 18 L/h, which resulted in a lacquer wax （ oil ） yield was 32.56%.