[1]刘丽娜.响应面法优化落葵籽油提取工艺及其成分的GC-MS分析 刘丽娜[J].中国调味品,2019,(08):160-165.
　Optimization of GC-MS Analysis of Extraction Process and Composition of Basella Seed Oil by Response Surface Methodology[J].CHINA CONDIMENT,2019,(08):160-165.
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响应面法优化落葵籽油提取工艺及其成分的GC-MS分析 刘丽娜()
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《中国调味品》[ISSN:1000-9973/CN:23-1299/TS]

卷:
期数:
2019年08期
页码:
160-165
栏目:
出版日期:
2019-08-20

文章信息/Info

Title:
Optimization of GC-MS Analysis of Extraction Process and Composition of Basella Seed Oil by Response Surface Methodology
作者:
刘丽娜
文献标志码:
A
摘要:
本研究以石油醚为提取溶剂，选用超声波辅助提取落葵籽油，通过响应面法研究超声波功率、提取温度、提取时间、料液比等因素对落葵籽油提取率的影响，以提取率为主要参考标准，确定最佳提取工艺。结果表明：最佳提取条件为超声波功率135W、提取温度40℃、提取时间25min、料液比1:10。通过GC-MS分析，鉴定出19种主要成分。
Abstract:
:In this study, petroleum ether was used as the extraction solvent, ultrasonic extraction was used to extract the Basella oil, and the effects of ultrasonic power, extraction temperature, extraction time and ratio of material to liquid on the extraction rate of Basella oil were studied by response surface methodology. As the main reference standard, determine the best extraction process. The results showed that the optimal extraction conditions were ultrasonic power 135W, extraction temperature 40℃, extraction time 25 min, and ratio of material to liquid 1:10. Through the GC-MS analysis, 19 main components were identified
更新日期/Last Update: 2020-06-22