响应面法优化超声波辅助提取黄秋葵籽油工艺研究

Optimization of ultrasound-assisted extraction of okra seed oil by response surface methodology

以正己烷为提取溶剂,采用超声波辅助提取黄秋葵籽油。在单因素试验的基础上,以黄秋葵籽油得率为响应值,利用响应面法优化超声波辅助提取工艺条件。结果表明:黄秋葵籽油的最佳工艺条件为物料粒度80目、料液比1∶8、超声功率120 W、提取时间45 min、提取温度60℃、提取次数2次;对优化的工艺条件进行验证,黄秋葵籽油的得率为17.27%,与预测值接近。

With n -hexane as extraction solvent, okra seed oil was extracted by ultrasound -assisted extraction. Based on single factor experiment, ultrasound - assisted extraction conditions were optimized by response surface methodology with okra seed oil yield as response value. The results showed that the optimal extraction conditions were obtained as follows： material particle size 80 meshes, solid -liquid ratio 1： 8, ultrasonic power 120 W, extraction time 45 min, extraction temperature 60 ℃, extraction times twice. Under these conditions, the okra seed oil yield was 17.27% which approached the predictive value.