Investigation of Operating Parameters on Ultrasound-Assisted Extraction of Anethole in Fennel Essential Oil

Seyed Mohsen Mirdehghan Ashkezari, H. Bahmanyar, H. Azizpour, Mohammad Mohammadi, Iman Najafipour
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引用次数: 2

Abstract

In this paper, the operational impact of three parameters including power of ultrasonic apparatus, size of fennel seeds and experiment time on the extraction yield of Anethole, which is the main considerable component in fennel essential oil and its concentration have been studied through Ultrasound-Assisted Extraction. The ultrasonic extraction of oil from fennel seeds using a solution of 70% water-ethanol was studied at different particle sizes, different ultrasonic powers and three different levels of time. The most effective parameter was particle size, while the experiment time had the least impact on both the efficiency and Anethole concentration as well. As a result, compared to Soxhlet method, the ultrasonic-assisted extraction was more efficient. In this experiment, eighteen constituents were identified for fennel seeds using GC–MS. The major components were Anethole (78.12%), Fenchone (8.81%), Limonene (4.39%), and Estragole (4.52%). Furthermore, the analysis of two quadratic models using the Box-Behnken design (BBD) indicated that the quadratic polynomial model can be applied for estimating the Anethole extraction yield as well as Anethole concentration.
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超声辅助提取茴香精油中茴香脑的工艺参数研究
本文采用超声辅助提取法,研究了超声设备功率、茴香种子大小、实验时间等3个参数对茴香精油中主要成分茴香酚提取率及其浓度的影响。以70%水乙醇为溶剂,在不同粒径、不同超声功率和三种不同时间下对茴香籽油进行超声提取。粒径是最有效的参数,实验时间对效率和茴香醇浓度的影响最小。结果表明,超声辅助提取比索氏法提取效率更高。本实验采用气相色谱-质谱联用技术,从茴香种子中鉴定出18种成分。主要成分为茴香脑(78.12%)、茴香酮(8.81%)、柠檬烯(4.39%)和雌二醇(4.52%)。此外,利用Box-Behnken设计(BBD)对两个二次模型进行分析,结果表明,二次多项式模型可以用于估算Anethole提取率和Anethole浓度。
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审稿时长
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