| 摘要: |
| 通过微波辅助提取技术结合响应面法优化山苍子核仁油提取条件,以期建立更高产率的提取方法。该研究在单因素设计基础上,选取液料比、微波功率、萃取时间、萃取温度4个主要因素,分析这4个因素对山苍子核仁油提取率的影响。结果表明:通过建立多元回归拟合分析,得出山苍子核仁油提取最佳工艺条件为液料比1:16,萃取温度为69 ℃,微波功率为337 W,萃取时间为63 min,在此条件下山苍子核仁油提取率为37.42%,与环己烷溶剂回流法相比较提取率提高了30.11%。气质联用仪分析结果显示,山苍子核仁油主要成分有16种占总成分的88.21%,鉴定出10种脂肪酸占总成分的78.24%,饱和脂肪酸有4种占总成分的43.23%,不饱和脂肪酸有6种占总成分的35.01%,脂肪酸中含量最高的为月桂酸(31.36%)。该研究结果表明该方法严谨、可靠,采用微波辅助提取山苍子核仁油是可行的。 |
| 关键词: 山苍子核仁油, 微波辅助, 响应面法, 提取率, 气质联用仪, 化学成分 |
| DOI：10.11931/guihaia.gxzw201702011 |
| 分类号:Q946 |
| 文章编号:1000-3142(2017)08-1074-09 |
| Fund project:四川省科技厅项目(2016JY0203, 2014FZ0120); 四川省教育厅项目(17ZB0380); 校级特色培育项目(2015TP008Y)[Supported by the Program of Sichuan Science and Technology Department(2016JY0203, 2014FZ0120); Program of Sichuan Education Department(17ZB0380); Characteristic Cultivation Program of University(2015TP008Y)]。 |
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| Optimization of microwave-assisted extraction of Litsea cubeba kernel oil by response surface methodology |
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ZHU Hui*, SUN Jia-Ying, PENG Lin-Cai, LAI Chuan, ZHU Chao-Ju
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School of Chemistry and Chemical Engineering, Sichuan University of Arts and Science, Dazhou 635000, Sichuan, China
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| Abstract: |
| Based on the single factor experiment, several independent variables were analyzed for the optimization of extraction conditions of Litsea cubeba kernel oil with response surface analysis methodology under microwave-assisted, in order to establish a higher yield extraction method on the best possible extract rate of L. cubeba kernel oil, inciuding liquid to solid ratio, microwave power, extraction time and extraction temperature. The quadratic regression model equation was established to describe the extraction process. The results showed that optimum conditions of L. cubeba kernel oil extraction were that liquid to solid ratio was 1:16, extraction temperature was 69 ℃, microwave power was 337 W, and extraction time was 63 min. The extraction rate of L. cubeba kernel oil under the condition was up to 37.42%, and 30.11% improvement in the extraction rate was obtained than the cyclohexane solvent refluxing method. The results of GC-MS analysis showed that the main components of L. cubeba kernel oil had sixteen components for 88.21% of the total composition, ten kinds of fatty acids were identified, accounting for about 78.24% of the total. Four kinds of saturated fatty acids made up 43.23% of the total, the other six kinds of unsaturated fatty acids accounted for 35.01%. The highest content of fatty acids was lauric acid 31.36%. It indicates that using microwave-assisted extraction of oil from litsea cubeba kernel is feasible. |
| Key words: Litsea cubeba kernel oil, microwave-assisted, response surface method, extraction rate, GC-MS, chemical components |
