摘要
目的:研究超临界CO2萃取甜杏仁油的最佳工艺条件及其成分的GC-MS分析鉴定。方法:采用响应曲面法优化甜杏仁油超临界CO2萃取工艺,并采用GC-MS对萃取的甜杏仁油进行分析。结果:建立了一个能较好预测甜杏仁油萃取率的数学模型,根据该模型,确定甜杏仁油的超临界萃取最佳工艺参数为:萃取压力27 MPa,萃取温度39℃,理论最佳萃取率为44.5%,验证三批,平均萃取率为44.0%;采用GC-MS法鉴定出16种化学成分,其中不饱和脂肪酸含量为92.6%,主要成分为油酸(83.57%)、顺-6-十八碳烯酸(5.96%)、棕榈酸(5.61%)。结论:优化后的工艺可用于甜杏仁油的提取。
Objective：To optimize the extraction conditions of Prunus armeniaca oil by Supercritical CO2 extraction and identify its components by GC-MS.Methods： Optimized of SFE-CO2 extraction by response surface methodology and used GC-MS to analysis Prunus armeniaca oil compounds.Results： Established the model of an equation for the extraction rate of Prunus armeniaca oil by supercritical CO2 extraction,and the optimal parameters for the supercritical CO2 extraction determined by the equation were： the extraction pressure was 27 MPa,temperature was 39 ℃,the extraction rate of Prunus armeniaca oil was 44.5 %.16 main compounds of Prunus armeniaca oil extracted by supercritical CO2 were identified by GC-MS,unsaturated fatty acids were 92.6%.Conclusion： This process is simple,and can be used for the extraction of Prunus armeniaca oil.
出处
《中药材》
CAS
CSCD
北大核心
2012年第3期479-482,共4页
Journal of Chinese Medicinal Materials
关键词
甜杏仁油
超临界CO2萃取
响应曲面法
GC-MS
Prunus armeniaca oil
Supercritical CO2 extraction
Response surface methodology
GC-MS
