Scholarlink

<p>This study investigated the epoxidation of palm stearin using an in situ peracid system catalysed by TiO<sub>2</sub> to produce bio-based epoxide intermediates. The effects of catalyst loading (0.3–0.5&#xa0;g) and temperature (55–75&#xa0;°C) were evaluated using a one-factor-at-a-time approach. The optimum conditions were observed at 65&#xa0;°C and 0.4&#xa0;g of catalyst, yielding a maximum relative conversion to oxirane (RCO) of 45%. A kinetic model incorporating peracid formation, epoxidation, and oxirane ring-opening was developed and solved numerically. Parameter estimation was performed using GA–PSO and GA–SA methods. The GA–PSO model showed improved agreement with the experimental data, although discrepancies remained in the peak regions. These findings highlight the trade-off between oxirane formation and degradation, indicating the need for improved experimental design and model validation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Reaction kinetics and process optimization of palm stearin epoxidation via in-situ peracetic acid system

  • 期刊论文

  • 发表日期：

    2026年4月29日

查看全文
  • Aishah Derahman,
  • Danish Riefqi Ahmad Taufik,
  • Intan Suhada Azmi,
  • Mohd Jumain Jalil

摘要

This study investigated the epoxidation of palm stearin using an in situ peracid system catalysed by TiO2 to produce bio-based epoxide intermediates. The effects of catalyst loading (0.3–0.5 g) and temperature (55–75 °C) were evaluated using a one-factor-at-a-time approach. The optimum conditions were observed at 65 °C and 0.4 g of catalyst, yielding a maximum relative conversion to oxirane (RCO) of 45%. A kinetic model incorporating peracid formation, epoxidation, and oxirane ring-opening was developed and solved numerically. Parameter estimation was performed using GA–PSO and GA–SA methods. The GA–PSO model showed improved agreement with the experimental data, although discrepancies remained in the peak regions. These findings highlight the trade-off between oxirane formation and degradation, indicating the need for improved experimental design and model validation.