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牡丹籽油超声波辅助提取工艺的响应面法优化
Optimization on Ultrasonic-assisted Extraction Technology of Oil from Paeonia suffruticosa Andr. Seeds with Response Surface Analysis
【摘要】 为优化牡丹籽油的超声波辅助提取工艺,在单因素试验基础上,选择液料比、超声波功率、处理时间、处理温度为自变量,牡丹籽油得率为响应值,采用Box-Behnken试验设计方法,研究各自变量及其交互作用对牡丹籽油得率的影响。利用Design Expert软件得到回归方程的预测模型并进行响应面分析,确定超声波辅助提取牡丹籽油的最佳条件为:液料比11 mL/g,超声波功率300 W,处理时间60 min,处理温度54℃,提取次数为3次。在该工艺条件下,牡丹籽油得率达24.12%。GC-MS结果表明牡丹籽油中富含不饱和脂肪酸,其中亚油酸和亚麻酸的质量分数分别为22.78%和64.14%。
【Abstract】 Based on the single factor analysis,the effect of liquid-solid ratio,ultrasonic power,extraction temperature,and extraction time on enhancing oil yield from Paeonia suffruticosa Andr.seed was evaluated by response surface analysis.A 4-factor,3-level Box-Behnken experimental design was applied and the interactions of each factor on the oil yield were also investigated.The optimal conditions were at 54℃ extraction temperature,11 mL/g liquid-solid ratio,300 W ultrasonic power,and 60 min extraction time using petroleum ether with a boiling range of 60~90℃ as the extraction agent.Under such conditions,the oil yield is 24.12% after three runs.The extracted oil was analyzed by GC-MS to determine the oil constituents.Unsaturated fatty acids such as linoleic acid and linolenic acid are abundant in Paeonia suffruticosa Andr.seeds.
【Key words】 Paeonia suffruticosa Andr.seeds oil; Ultrasonic-assisted extraction; Response surface analysis; GC-MS;
- 【文献出处】 农业机械学报 ,Transactions of the Chinese Society for Agricultural Machinery , 编辑部邮箱 ,2009年06期
- 【分类号】TS225.1
- 【被引频次】231
- 【下载频次】2840