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<p>Deodorizer distillate, a by-product generated from the oil refining process, contains a wide range of active ingredients. Among which, natural tocopherol (Vitamin E, VE) is a valuable component of soybean oil deodorizer distillate (SODD). However, the complex compositions create difficulty for efficient extraction to tocopherol for industrial applications. In this study, a computer-simulated model was developed with the aim of optimizing the process of tocopherol extraction from SODD using molecular distillation. A scalable simulation method, including composition simplification and distillation simulation, was established to predict optimal tocopherol separating conditions from SODD with varying tocopherol concentrations. By simplifying the composition of SODD to <i>α</i>-Tocopherol and glycerol trioleate, the difference between the simulation results and the experimental results was reduced to less than 5%, which indicates the rationality of the simplified components in the molecular distillation simulation. The correction factor <i>E</i> was further adjusted to the simulation method, and the simulation of molecular distillation for the simplified distillate showed an increase in the purity of tocopherol to 44.87%, with an error of 1.12% compared to the experimental purity of 43.75%. Under molecular distillation conditions of 180&#xa0;°C and 2.5&#xa0;Pa (absolute), the error between the adjusted simulation and the corresponding experiment for the high-tocopherol-content deodorizer distillate was found to be 0.57%, while the error for the medium-tocopherol-content deodorizer distillate was measured at 0.46%. Overall, this validated model demonstrated strong alignment with experimental outcomes, providing a reliable simulation for intelligent industrial systems in molecular distillation.</p> Graphical Abstract <p></p>

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Molecular Distillation Processes for Tocopherol Extraction from Vegetable Oil By-product: Experimental and Computer Simulation

  • 期刊论文

  • 发表日期：

    2025年5月9日

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  • Qidong Xue,
  • Ziwei Yu,
  • Ying Wang,
  • Chengyu Zhang,
  • Yiwen Guo,
  • Minjie Cao,
  • Ming Chang,
  • Ruijie Liu

摘要

Deodorizer distillate, a by-product generated from the oil refining process, contains a wide range of active ingredients. Among which, natural tocopherol (Vitamin E, VE) is a valuable component of soybean oil deodorizer distillate (SODD). However, the complex compositions create difficulty for efficient extraction to tocopherol for industrial applications. In this study, a computer-simulated model was developed with the aim of optimizing the process of tocopherol extraction from SODD using molecular distillation. A scalable simulation method, including composition simplification and distillation simulation, was established to predict optimal tocopherol separating conditions from SODD with varying tocopherol concentrations. By simplifying the composition of SODD to α-Tocopherol and glycerol trioleate, the difference between the simulation results and the experimental results was reduced to less than 5%, which indicates the rationality of the simplified components in the molecular distillation simulation. The correction factor E was further adjusted to the simulation method, and the simulation of molecular distillation for the simplified distillate showed an increase in the purity of tocopherol to 44.87%, with an error of 1.12% compared to the experimental purity of 43.75%. Under molecular distillation conditions of 180 °C and 2.5 Pa (absolute), the error between the adjusted simulation and the corresponding experiment for the high-tocopherol-content deodorizer distillate was found to be 0.57%, while the error for the medium-tocopherol-content deodorizer distillate was measured at 0.46%. Overall, this validated model demonstrated strong alignment with experimental outcomes, providing a reliable simulation for intelligent industrial systems in molecular distillation.

Graphical Abstract