响应面优化超临界CO_2萃取花生油工艺研究

Optimization of Peanut Oil Extraction with Supercritical Carbon Dioxide by Response Surface Methodology

为了获得CO2流体萃取花生油的较佳工艺条件,通过单因素实验及响应面优化试验研究了萃取压力、萃取温度、CO2流量、萃取时间和花生仁粒度等因素对花生油萃取率的影响,确定了超临界CO2萃取花生油的较佳工艺参数为,萃取压力24 MPa,萃取温度43℃,花生仁粒度20目,CO2流量20 L/h,萃取时间110 min,在该工艺条件下花生油萃取率达到96.16%.对SFE-CO2流体萃取的花生油脂肪酸成分进行分析,结果显示,SFE-CO2流体萃取的花生油不饱和脂肪酸(主要是亚油酸和油酸)含量高达78%以上,符合一级花生油的标准(GB 1534—2003).

A method utilzing supercritical CO2 fluid extraction （SFE-CO2） technology to extract peanut oil was described. The optimum technological conditions were obtained by single-factor and response sur- face experiments, and the effect of parameters such as peanut granularity, extraction pressure, time, temperature and supercritical CO2 flow on extraction rate were investigated. The highest extraction rate of 96.16% was achieved under the optimum extraction conditions of 20 mesh peanut, 20 L/h CO2 flow, the pressure of 24 MPa, and 43℃ for 110 min. The unsaturated fatty acids content of peanut oil with the SFE-CO2 fluid extraction （mainly linoleic acid and oleic acid） reached as high as 78% , in line with the level of first-class peanut oil standard.