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Optimization by response surface methodology of lutein recovery from paprika leaves using accelerated solvent extraction

机译:通过响应面方法优化使用加速溶剂萃取从辣椒粉中回收叶黄素的方法

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In this study, we used response surface methodology (RSM) to optimize the extraction conditions for recovering lutein from paprika leaves using accelerated solvent extraction (ASE). The lutein content was quantitatively analyzed using a UPLC equipped with a BEH C18 column. A central composite design (CCD) was employed for experimental design to obtain the optimized combination of extraction temperature (degrees C), static time (min), and solvent (EtOH, %). The experimental data obtained from a twenty sample set were fitted to a second-order polynomial equation using multiple regression analysis. The adjusted coefficient of determination (R-2) for the lutein extraction model was 0.9518, and the probability value (p = 0.0000) demonstrated a high significance for the regression model. The optimum extraction conditions for lutein were temperature: 93.26 degrees C, static time: 5 min, and solvent: 79.63% EtOH. Under these conditions, the predicted extraction yield of lutein was 232.60 mu g/g. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在这项研究中,我们使用响应表面方法(RSM)来优化提取条件,以使用加速溶剂提取(ASE)从辣椒粉叶中回收叶黄素。使用配备BEH C18色谱柱的UPLC对叶黄素含量进行定量分析。采用中央复合设计(CCD)进行实验设计,以获得萃取温度(℃),静态时间(min)和溶剂(EtOH,%)的优化组合。使用多元回归分析,将从二十个样本集中获得的实验数据拟合到二阶多项式方程。叶黄素提取模型的调整后的确定系数(R-2)为0.9518,概率值(p = 0.0000)对回归模型具有很高的意义。叶黄素的最佳提取条件为温度:93.26摄氏度,静态时间:5分钟,溶剂:79.63%乙醇。在这些条件下,叶黄素的预计提取产量为232.60μg / g。 (C)2016 Elsevier Ltd.保留所有权利。

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