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首页> 外文期刊>The Journal of Supercritical Fluids >Extraction of omega-3-rich oil from Camelina sativa seed using supercritical carbon dioxide
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Extraction of omega-3-rich oil from Camelina sativa seed using supercritical carbon dioxide

机译:使用超临界二氧化碳从山茶种子中提取富含omega-3的油

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Camelina sativa seed is an underutilized oil source; however, it is a potential source of omega-3-rich oil. Supercritical carbon dioxide (SC-CO2) is a desired green solvent for the extraction of omega-3 oils; however, there is no reported study on the SC-CO2 extraction of Camelina seed oil. Therefore, the objective of this study was to evaluate the use of SC-CO2 for the extraction of Camelina seed oil and to compare with traditional extraction methods. Response surface methodology (REM) based on central composite rotatable design was employed to investigate the extraction conditions: pressure (35-45 MPa), temperature (50-70 degrees C), and time (90-250 min). A second order polynomial model was developed to predict the oil yield. Increasing pressure and time increased the oil yield, whereas increasing temperature did not have a significant effect. REM-optimized conditions (45 MPa, 70 degrees C and 224.5 min) obtained by REM for the range of variables predicted a yield of 27.0% oil, whereas the actual yield was 25.1 +/- 12.0%. Oil yield was further increased to 31.6% at the RSM-optimized conditions by increasing the SC-CO2 extraction time to 510 min. Soxhlet (hexane) and cold press methods yielded 35.9% and 29.9% oil, respectively. Extraction method did not have a significant effect on the fatty acid composition and tocopherol content (P > 0.05); however, phytosterol content of the cold pressed oil was significantly lower than that of SC-CO2 and Soxhlet (hexane) (P< 0.05). Results indicated that SC-CO2 is a promising green solvent for the extraction of Camelina seed oil. (C) 2015 Elsevier B.V. All rights reserved.
机译:茶花种子是一种未充分利用的油源。但是,它是富含欧米伽3的石油的潜在来源。超临界二氧化碳(SC-CO2)是提取omega-3油所需的绿色溶剂。但是,尚无关于山茶籽油的SC-CO2萃取的报道。因此,本研究的目的是评估SC-CO2在山茶籽油提取中的应用,并与传统提取方法进行比较。采用基于中心复合材料可旋转设计的响应面方法(REM)研究萃取条件:压力(35-45 MPa),温度(50-70摄氏度)和时间(90-250分钟)。开发了一个二阶多项式模型来预测油产量。压力和时间的增加增加了油的产率,而温度的增加却没有显着的影响。 REM针对变量范围而获得的REM优化条件(45 MPa,70摄氏度和224.5分钟)预测油的产率为27.0%,而实际产率为25.1 +/- 12.0%。通过将SC-CO2的萃取时间增加到510分钟,在RSM优化的条件下,油的产量进一步提高到31.6%。索氏萃取法(己烷)和冷压法分别产生35.9%和29.9%的油。提取方法对脂肪酸组成和生育酚含量无显着影响(P> 0.05);然而,冷榨油中的植物甾醇含量显着低于SC-CO2和索氏提取物(己烷)(P <0.05)。结果表明,SC-CO2是提取山茶籽油的有前途的绿色溶剂。 (C)2015 Elsevier B.V.保留所有权利。

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