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Extraction kinetics modeling of wheat germ oil supercritical fluid extraction

机译:小麦胚油超临界流体提取的提取动力学建模

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摘要

The aim of this study was the optimization of supercritical fluid extraction (SFE) of wheat germ oil obtained as by-product from industrial mill. Extraction kinetics modeling and response surface methodology (RSM) were used for that purpose. SFE was performed with broadening Box-Behnken experimental design, where pressure (250-350 bar), temperature (40-60 degrees C), and CO2 flow rate (0.2-0.4 kg/hr) were used as independent variables. Five empirical kinetic equations were successfully utilized for modeling of SFE. Model IV (Kandiah and Spiro model) provided the best fit with experimental data, according to statistical parameters (R-2, sum of squared errors and average absolute relative deviation). Furthermore, initial slope calculated from this model was used as a response variable for RSM optimization. It could be concluded that SFE should be performed at elevated pressure (350 bar) and CO2 flow rate (0.4 kg/hr), while temperature should be held at a lower level (40 degrees C) in order to achieve a maximal initial slope. Practical applications Optimization and modeling of industrial processes are crucial factors that will determine its efficiency and profitability. This research provided information about modeling of green and environmentally friendly extraction technique, that is, SFE, which could be successfully utilized for recovery of valuable oil from food industry by-product, that is, wheat germ. Commonly used empirical models were successfully applied for modeling of extraction process and influence of SFE factors on model parameters was determined providing information about mass transfer phenomena during extraction. Further investigation provided determination of the highest initial extraction rate constant which could be applicable for optimization of industrial scale processes.
机译:该研究的目的是优化作为工业厂获得的小麦胚芽油的超临界流体萃取(SFE)。提取动力学建模和响应表面方法(RSM)用于此目的。通过展大箱Behnken实验设计进行了SFE,其中压力(250-350巴),温度(40-60℃)和CO 2流量(0.2-0.4kg / hr)用作独立变量。五个经验动力学方程已成功用于SFE的建模。 IV模型(Kandiah和Spiro Model)根据统计参数(R-2,平均误差和平均绝对相对偏差的总和)提供了与实验数据的最佳拟合。此外,从该模型计算的初始斜率被用作RSM优化的响应变量。可以得出结论,SFE应在升高的压力(350巴)和CO 2流速(0.4kg / hr)处进行,而温度应保持在较低水平(40℃)以实现最大初始斜率。工业过程的实际应用优化和建模是将确定其效率和盈利能力的重要因素。本研究提供了有关绿色和环保提取技术的建模的信息,即SFE,可以成功地用于从食品行业副产物中恢复有价值的油,即小麦胚芽。常用的经验模型被成功应用于提取过程的建模,并确定了在提取过程中提供有关传质现象的信息的模型参数的影响。进一步调查提供了最高初始提取率常数的确定,可适用于优化工业规模过程。

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  • 来源
    《Journal of Food Processing and Preservation》 |2019年第9期|e14098.1-e14098.12|共12页
  • 作者单位

    Univ Novi Sad Fac Technol Bulevar Cara Lazara 1 Novi Sad 21000 Serbia;

    Univ Novi Sad Inst Food Technol Novi Sad Serbia;

    Univ Novi Sad Fac Technol Bulevar Cara Lazara 1 Novi Sad 21000 Serbia;

    Univ Novi Sad Fac Technol Bulevar Cara Lazara 1 Novi Sad 21000 Serbia;

    Univ Novi Sad Fac Technol Bulevar Cara Lazara 1 Novi Sad 21000 Serbia;

    Univ Novi Sad Fac Technol Bulevar Cara Lazara 1 Novi Sad 21000 Serbia;

    Univ Novi Sad Inst Food Technol Novi Sad Serbia;

    Univ Novi Sad Fac Technol Bulevar Cara Lazara 1 Novi Sad 21000 Serbia;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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