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Optimization of Countercurrent Supercritical Fluid Extraction of Minor Components from Olive Oil

机译:逆流超临界流体萃取橄榄油中微量成分的工艺优化

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摘要

A process based on the use of a semi-continuous countercurrent supercritical fluid extraction (CC-SFE) has been optimized to concentrate minor components, with functional properties, from olive oil. The optimization of the main variables involved in the supercritical extraction process (extraction pressure, temperature and sample flow rate) was performed using a surface response methodology (RSM). A central composite circumscribed design (CCCD) was employed to study the responses selected to describe the process, such as the extraction yield, the concentration of the different minor compounds (squalene, sterols and tocopherols) in the CO_2-rich upper current stream, and the recovery of these compounds from the olive oil. Parameters of the model, for each response variable, were simultaneously estimated by Partial Least Squares (PLS) regression. The statistical analysis of the results allowed obtaining mathematical models able to predict the behavior of the different responses selected as a function of the main variables involved in the process. The optimum conditions obtained, that maximized all the responses as a whole, were: extraction pressure, 234 bar; extraction temperature, 35℃ and sample flow rate, 82 mL/h, working with a solvent flow rate equal to 2000 mL/h (S/F equal to 28.4 kg CO_2/kg oil). The optimum of the model was experimentally confirmed allowing around 90% recovery of squalene without significant changes on the nutritional and physicochemical properties of the oil.
机译:已经优化了基于半连续逆流超临界流体萃取(CC-SFE)的工艺,以从橄榄油中浓缩具有功能特性的微量成分。使用表面响应方法(RSM)对超临界萃取过程中涉及的主要变量(萃取压力,温度和样品流速)进行了优化。采用中央复合外接设计(CCCD)研究选择的响应来描述该过程,例如萃取率,富含CO_2的上部气流中不同次要化合物(角鲨烯,固醇和生育酚)的浓度,以及从橄榄油中回收这些化合物。通过偏最小二乘(PLS)回归同时估算每个响应变量的模型参数。结果的统计分析允许获得数学模型,该数学模型能够预测根据过程中涉及的主要变量而选择的不同响应的行为。获得的最佳条件可以最大程度地提高所有响应的整体水平:抽气压力234 bar;萃取温度为35℃,样品流速为82 mL / h,溶剂流速为2000 mL / h(S / F等于28.4 kg CO_2 / kg油)。实验确定了该模型的最佳性能,可回收约90%的鲨烯,而对油的营养和理化特性没有重大影响。

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