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机构地区:[1]渤海大学化学化工与食品安全学院,辽宁锦州121013
出 处:《食品与发酵工业》2012年第8期203-207,共5页Food and Fermentation Industries
基 金:中国博士后科学基金面上资助项目(20090460422)
摘 要:以乙酸乙酯为提取溶剂,盐藻油得率为响应值,采用响应面法对超声波辅助提取盐藻油的工艺参数进行了优化。结果表明:实验中各因素影响的主次顺序为,提取时间>提取温度>液固比;超声波辅助提取盐藻中油脂的最佳工艺参数为,液固比25 mL/g、提取时间35 min、提取温度69℃,该工艺的盐藻油得率为15.92%,与预测结果相符。超声波辅助提取盐藻油脂富含棕榈酸、油酸、亚油酸和亚麻酸,含量分别为(13.80±0.26)%、(5.20±0.15)%、(8.55±0.16)%和(23.15±0.24)%。Response surface methodology was used to optimize operating parameters of ultrasound assisted extraction of oil from Dunaliella salina. Ethyl acetate was the extracting solvent, and the yield of oil was the response value. The order of the effectors was: extracting time 〉 extracting temperature 〉 ratio of liquid to solid. The optimal conditions were: ratio of liquid to solid 29 mL/g, extracting time 35 min, extracting temperature 69℃. Under the optimal conditions; the oil yield was 15.92% and was consistent with the predicted value by RSM. Palmitic acid, oleic acid, linoleic acid and linolenic acid were the main fatty acids in D. Salina oil extraction, and the content of each was (13.80±0.26)%, (5.20±0.15)%, (8.55±0.16)%, and (23.15±0.24)%, respectively.
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