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Highly Efficient Synthesis of an Emerging Lipophilic Antioxidant: 2-Ethylhexyl Ferulate

机译:高效合成的亲脂性抗氧化剂:2-乙基己基阿魏酸酯

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摘要

Ferulic acid in ester form has shown a stronger ability in ameliorating certain pathological conditions and inhibiting lipid oxidation. In present study, a solvent-free and reduced pressure evaporation system was developed for lipase-catalyzed synthesis of 2-ethylhexyl ferulate (2-EF) from ferulic acid and 2-ethylhexanol. A Box-Behnken design with response surface methodology (RSM) and artificial neural network (ANN) was selected to model and optimize the process. Based on the yields of 2-EF, reaction temperature was shown to be the most important process factor on the molar conversion among all variables. The residual values and the coefficient of determination (R2) calculated from the design data indicated that ANN was better than RSM in data fitting. Overall, the present lipase-catalyzed approach for 2-EF synthesis at low reaction temperature in a reduced pressure evaporation system shows high 2-EF production efficiency. Notably, this approach can reduce the enzyme denaturation and ferulic acid oxidation that usually occur during long-term biosynthetic operations at high temperature.
机译:酯形式的阿魏酸在改善某些病理状况和抑制脂质氧化方面显示出较强的能力。在本研究中,开发了一种无溶剂减压蒸发系统,用于脂肪酶催化从阿魏酸和2-乙基己醇合成2-乙基己基阿魏酸酯(2-EF)。选择具有响应面方法(RSM)和人工神经网络(ANN)的Box-Behnken设计来对过程进行建模和优化。基于2-EF的收率,反应温度是所有变量中摩尔转化率最重要的工艺因素。根据设计数据计算出的残值和测定系数(R 2 )表明,在数据拟合中,ANN优于RSM。总的来说,本发明的脂肪酶催化的在减压蒸发系统中在低反应温度下合成2-EF的方法显示出高的2-EF生产效率。值得注意的是,这种方法可以减少通常在高温下长期生物合成过程中发生的酶变性和阿魏酸氧化。

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