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<p>The dependency on petroleum-based sources has raised concerns, leading to a focus on studying the production of bio-polyols through the in situ hydrolysis of epoxidized palm oleic acid. Epoxidized palm oleic acid was formulated using performic acid and formed in situ. The Runge-Kutta method in MATLAB enables a kinetic simulation of oxirane oxygen ring degradation throughout the epoxidation process, allowing for the determination of the yield of bio-polyols. The Taguchi method suggests the optimal parameters for bio polyols production, including a hydrogen peroxide/palm oleic acid molar ratio of 1.5:1, a formic acid/palm oleic acid molar ratio of 1.5:1, a reaction temperature of 50&#xa0;°C, and a stirring speed of 450&#xa0;rpm. Through kinetic modelling, bio-polyol was successfully produced from palm oleic acid with a reduced number of experimental runs.</p>

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Catalytic epoxidation of oleic acid through in situ hydrolysis for biopolyol formation

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月22日

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  • Siti Juwairiyah A. Rahman,
  • Intan Suhada Azmi,
  • Mohd Jumain Jalil,
  • Siti Nadia Abdullah,
  • Siti Mazlifah Ismail,
  • Gnanasambandam Anbuchezhiyan,
  • Nabisab Mujawar Mubarak,
  • Ahmad Hosseini-Bandegharaei

摘要

The dependency on petroleum-based sources has raised concerns, leading to a focus on studying the production of bio-polyols through the in situ hydrolysis of epoxidized palm oleic acid. Epoxidized palm oleic acid was formulated using performic acid and formed in situ. The Runge-Kutta method in MATLAB enables a kinetic simulation of oxirane oxygen ring degradation throughout the epoxidation process, allowing for the determination of the yield of bio-polyols. The Taguchi method suggests the optimal parameters for bio polyols production, including a hydrogen peroxide/palm oleic acid molar ratio of 1.5:1, a formic acid/palm oleic acid molar ratio of 1.5:1, a reaction temperature of 50 °C, and a stirring speed of 450 rpm. Through kinetic modelling, bio-polyol was successfully produced from palm oleic acid with a reduced number of experimental runs.