贾恬,罗仓学,叶飞.响应面法优化超声波辅助提取黄秋葵籽油工艺研究[J].中国油脂,2017,42(11):.[JIA Tian, LUO Cangxue, YE Fei.Optimization of ultrasound-assisted extraction of okra seed oil by response surface methodology[J].China Oils and Fats,2017,42(11):.]
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
  
DOI:
中文关键词:  黄秋葵籽油  超声波辅助提取  响应面法
英文关键词:okra seed oil  ultrasound-assisted extraction  response surface methodology
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贾恬,罗仓学,叶飞  
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中文摘要:
      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120W、提取时间45min、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。
英文摘要:
      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.
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