摘要
利用单因素实验及响应面法优化超临界CO2萃取微孔草籽油的工艺。响应面法优化得到的最佳工艺条件为:萃取压力25 MPa,萃取时间3 h,萃取温度49℃。在此条件下,微孔草籽油得率为39.53%,与理论预测值基本一致。采用GC/MS联用方法分析微孔草籽油主要脂肪酸组成为油酸(39.76%),亚油酸(12.19%),亚麻酸(22.91%)。微孔草籽油不饱和脂肪酸含量较高,具有较高的开发利用价值。
The methods of single factor test and response surface methodology were adopted to optimize the process of supercritical CO2 extraction of the Microula sikkimensis Hemsl seed oil. The results showed that the optimal conditions were as follows： extraction pressure 25 MPa, extraction time 3 h and extraction temperature 49 ℃. Under the conditions, the yield of Microula sikkimensis Hemsl seed oil was 39.53% , which was well matched with the predictive yield. GC/MS analysis result showed that the main fatty acids compositions in Microula sikkimensis Hemsl seed oil were oleic acid（39.76% ） , linoleic acid（ 12.19% ） and linolenic acid（22.91% ）. The Microula sikkimensis Hemsl seed oil had high unsaturated fatty acids and high developing value.
出处
《中国油脂》
CAS
CSCD
北大核心
2012年第10期14-18,共5页
China Oils and Fats
基金
科技部人员服务企业行动项目(2009GJG20004)
中科院科技支青项目(082B371211)
国家基金资助(31070475)
关键词
响应面法
超临界CO2
微孔草籽油
GC/MS分析
response surface methodology
supercritical C02
Microula sikkimensis Hemsl seed oil
GC/MS analysis
