响应面法优化超临界CO_2萃取无花果种籽油工艺研究  

Optimization of Supercritical Carbon Dioxide Extraction of Oil from Fig Fruit (Ficus Carica L.) Seeds Using Response Surface Methodology

作　　者：王磊[1] 张子德[1] 赵丛枝[1] 唐霞[1] 马俊莲[1] 

机构地区：[1]河北农业大学食品科技学院,河北保定071001

出　　处：《中国食品学报》2013年第1期37-43,共7页Journal of Chinese Institute Of Food Science and Technology

基　　金：国家十一五科技支撑计划(2006BAD30B01)

摘　　要：以无花果种籽为试验原料,采用响应面分析法(Response Surface Methodology,RSM)建立超临界CO2萃取无花果种籽油(FSO)得率的二次多项数学模型,验证数学模型的有效性,并探讨萃取温度、压力和时间对FSO得率的作用规律。根据该模型进行工艺参数的优化,以FSO得率为指标,试验所得超临界CO2萃取最佳工艺条件是:温度44.7℃,压力29.0MPa,时间85.1min。在该条件下FSO得率达25.95%。对FSO的脂肪酸组成进行气相色谱-质谱联用技术(GC-MS)分析,结果表明,FSO中饱和脂肪酸以棕榈酸(19.45%)为主,占脂肪酸总量的26.50%;不饱和脂肪酸主要为油酸(51.41%)和棕榈油酸(14.76%),占脂肪酸总量的73.50%。Response surface methodology （RSM） was employed to optimize the process parameters of supercritical carbon dioxide（SC-CO2） extraction of the fig seed oil（FSO）. The adequacy of the model equation for predicting the optimum response values was verified effectively by the validation. Effects of temperature, pressure and time on yield of FSO were investigated. Maximum yield of FSO from the mathematical model was predicted to be 25.95% dry basis under the condition of temperature 44.7 ℃ and pressure 29.0 MPa with extraction time 85.1 min. GC-MS analysis showed that fatty acids in the oil were composed of 26.50% saturated fatty acids and 73.50% unsaturated fatty acids. Furthermore, oleic acid （51.d1%）, palmitic acid （19.45%） and palmitoleic acid （14.76%） were the main fatty acids in the FSO.

关 键 词：无花果种籽油 超临界CO2 萃取 响应面法 工艺条件 

分 类 号：TS225.1[轻工技术与工程—粮食、油脂及植物蛋白工程]