响应面法优化提取翅果油树种仁油的工艺条件

 为了优化翅果油树种仁油提取工艺,以单因素试验为依据,选取浸提时间、浸提温度和料液比3 因素为自变量,种仁油的提取率为响应面(response surface methodology),采用中心组合(Box-Benhnken)试验设计原理,探讨在各因素及其交互作用的影响下种仁油含量的变化。运用响应面分析法,模拟获得二次多项式回归方程的预测模型,确定翅果油树种仁油的最佳提取工艺条件为提取时间45 min,温度88℃,料液比为1:5。利用优化的提取条件,种仁油的萃取率达到92.44%,与预测值基本一致。采用气相色谱-质谱联用法(GC-MS)分析,鉴定出翅果油中含有脂肪酸28 种,不饱和脂肪酸有9 种,共占54.17%,其中油酸甲酯12.86%,棕榈酸甲酯10%,十五烷酸甲酯9.78%,亚油酸甲酯16.57%。本研究建立的提取方法简便、可靠,为翅果油树种仁油的产业化提取提供了一定理论参考。

Optimization of the extraction conditions of Elaeagnus mollis kernel oil by response surface methodology

In this paper, an experimental method of the central composite design is used to determine the kernel oil content in the Elaeagnus mollis preparation. Based on the Design Expert software, a quadratic model is established with independent variables of the kernel oil content, such as the extraction time, the extraction temperature and the material-liquid ratio. The response values satisfying all expectations are optimized, and the most excellent extraction conditions of the Elaeagnus mollis kernel oil are 45 min for the extraction time, 88℃, for the extraction temperature and 1:5 for the material-liquid ratio. Under these conditions, the actual extraction rate of the kernel oil is 92.44%. The result of the verification experiment for the formulation is consistent with the prediction. The fatty acids in the Elaeagnus mollis kernel oil are analyzed by GC-MS. The results show that 28 kinds of fatty acids and 9 kinds of unsaturated fatty acids are identified. They are mainly composed of 12.86% methyl oleic, 10% methyl palmitate, pentadecanoic, 9.78% acid methyl ester, and 16.57% linoleic acid methyl. This extraction method is an environmentally benign and advantageous scheme for the production of kernel oil from Elaeagnus mollis, which will be further transformed into the value-added biomaterials and bioethanol.