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%。
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.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2009年第6期103-110,共8页
Transactions of the Chinese Society for Agricultural Machinery
基金
河南省洛阳市科技发展计划资助项目(0602042-5)
关键词
牡丹籽油
超声波辅助提取
响应面分析
GC—MS
Paeonia suffruticosa Andr. seeds oil, Ultrasonic-assisted extraction, Response surface analysis, GC- MS
