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Optimization of the Oil Extraction from Camelina (Camelina saliva) Seeds Using Response Surface Methodology

机译:响应面法优化油茶种子中油的提取

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Camelina sativa, also known as German sesame or Siberian oilseed, is a cruciferous oilseed plant and has recently gained considerable interest because of the healthy properties of the oil, its potential as a biofuel and its soy quality meal. Camelina oil due to its relatively high content (>50%) in omega-3 and 6 fatty acids and low saturated fatty acids, is considered to be a high quality edible oil. The objectives of this study are to determine the optimum conditions for the solvent extraction of Camelina oil using a three-level three-factor Box-Behnken design under response surface methodology (RSM). The experimental data obtained were analyzed by Pareto analysis of variance (ANOVA) and fitted to a second-order polynomial equation using multiple regression analysis. The experimental values agreed with those predicted values.
机译:茶花(Camelina sativa),也被称为德国芝麻或西伯利亚油料种子,是一种十字花科油料种子植物,由于其健康的特性,其作为生物燃料的潜力和大豆品质的粉状,近来引起了人们的极大兴趣。茶花油由于在omega-3和6种脂肪酸和低饱和脂肪酸中含量较高(> 50%),被认为是一种优质食用油。这项研究的目的是在响应面方法(RSM)下使用三级三因素Box-Behnken设计确定用于提取茶花油的溶剂的最佳条件。通过方差帕累托分析(ANOVA)分析获得的实验数据,并使用多元回归分析将其拟合为二阶多项式方程。实验值与那些预测值一致。

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