超临界CO_2萃取枸杞籽油数值模拟及工艺优化  

Simulation of Supercritical CO_2 Extraction for Lycium barbarum oiland Optimization of Its Technology

作　　者：朱子华[1] 

机构地区：[1]烟台大学文献信息研究所,山东烟台264005

出　　处：《食品与生物技术学报》2007年第4期101-104,共4页Journal of Food Science and Biotechnology

摘　　要：利用现有的超临界流体萃取实验装置,以CO2为萃取剂,考察了萃取压力、温度、CO2流量及原料颗粒大小等因素对枸杞籽油萃取率的影响,并由此确定了较佳的萃取工艺条件：萃取压力25-30MPa,操作温度318-323K,枸杞籽颗粒度40-50目,CO2流量0.3-0.4m^3/h,此时枸杞籽油萃取率最高,可达15.5%。并基于萃取器微分单元和固态原料颗粒微分单元质量守恒原理,建立了微分方程,利用直线推动力近似理论拟合总传质推动力及平衡吸收常数,化简方程,对实验结果进行了数值模拟,优化了实验条件。With the experimental equipments for supercritical fluid extraction which had been established, some experiments of separating Lycium barbarum were carried out, using Carbon dioxide as extraction reagent. The effects of extraction pressure, extraction temperature, flow rate and feed particle on extraction were investigated, and the optimum process conditions were obtained：the extraction pressure 25 -30 MPa, the work temperature 318 -323 K, the feel particle of Lycium barbarum oil 40-50 meshes, the flow rate 0.3-0. 4 m^3/h and the cumulation extraction rate of Lycium barbarum oil 15. 5%. Based on the mass conservation principle for differential units of extraction bed and feed particle, the differential equations were established. The total of mass transfer impetus and the equilibrium absorbing constant were fitted by the linear impetus approximate theory, the equations were simplified, and the experimental results were performed with numeric simulation.

关 键 词：超临界CO2萃取 枸杞籽油 数值模拟 

分 类 号：TS221[轻工技术与工程—粮食、油脂及植物蛋白工程]