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標題: 利用超臨界二氧化碳萃取芝麻油並以數學模型模擬研究
The Extraction of Sesame Oil with Supercritical Carbon Dioxide and Its Mathematical Modeling
作者: 呂泓達
Hung-Ta Lu
關鍵字: 芝麻油
Sesame Oil
Supercritical Carbon Dioxide
Mathematical Model
DPPH free radical scavenging
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摘要: 芝麻油除了當作食用油以外,其中富含維生素B群、維生素E、礦物質及芝麻特有的芝麻素(木質素Lignans),已被證實具有抗老化及防止心血管疾病的功能,適合開發成保健食品。本研究利用超臨界二氧化碳萃取芝麻油,以壓力、溫度及時間對產率及抗氧化性評估,配合CCD實驗設計原理,並找到超臨界萃取芝麻油在t = 4.8 hr和P = 3830 psi且低溫時為最佳條件,再利用DPPH自由基清除測定證明了溫度對抗氧化物活性的影響,也證實超臨界萃取在低溫操作下有良好的抗氧化活性。 再利用收縮核心模型去探討溶質在粒子中固相與流體相之分配係數與無因次之質傳系數對產率的影響,以及利用數學模型對實驗進行擬合,找到實驗之分配系數與質傳系數,並加以分析。
Not only edible, sesame oil is also rich in vitamin B group, vitamin E, minerals, and sesamin (lignans). It has been proven effective of anti-aging and the prevention of cardiovascular diseases. Thus it is a potential candidate of health foods. In this work, extraction of sesame oil from sesame seeds using supercritical CO2 was carried out, and evaluated the yield and oxidation resistance by pressure, temperature, and time. With the CCD experimental design, we found that supercritical extraction sesame oil is the best condition at t = 4.8 hr and P = 3830 psi. The use of DPPH free radical scavenging assays confirmed the effect of temperature on the activity of the oxides, and the supercritical extraction showed good antioxidant activity at low temperature operation. We use the shrinking core model to investigate the influence of distribution coefficient and mass transfer coefficient on the yield, and use mathematical model to fit the experiment. We find the distribution coefficient and mass transfer coefficient of experimental, and analyze them.
文章公開時間: 2020-08-13
Appears in Collections:化學工程學系所



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