食品工业科技2024，Vol.45Issue(10)：207-216,10.DOI:10.13386/j.issn1002-0306.2023070077
超声辅助提取油莎豆油的工艺优化及品质分析
Process Optimization and Quality Research of Oil Extraction from Tiger Nut(Cyperus esculentus L.)Using Ultrasonic-assisted Extraction
摘要
Abstract
In order to improve the yield and quality of tiger nut oil,the strategy of ultrasonic-assisted n-hexane was studied by response surface methodology.In this study,the total phenolic content,total flavonoid content,free radical scavenging rate,fatty acid composition,and 1,1-diphenyl-2-trinitrophenylhydrazine(DPPH)clearance rate in oil samples were investigated at three temperatures including 25℃(room temperature),47℃(optimal temperature for ultrasound assisted extraction),and 60℃(high temperature).The results showed that a high tiger nut oil extraction yield of 25.01％±0.03％was obtained at a solid-liquid ratio of 1∶15(g/mL),ultrasonic time of 20 min,ultrasonic temperature of 47℃,and particle size of 70 mesh.The obtained oil sample was yellow-orange and slightly turbid with a unique aroma of beans.Besides,tiger nut oil had a certain scavenging effect on DPPH free radicals.Ultrasound could better dissolve the nutrients in tiger nut,but it had a large destruction effect on tiger nut flavonoids,while the content of phenolic acids significantly(P<0.05)decreased at high temperatures.Ultrasonic treatment and temperature showed slight effect on the types and contents of fatty acids between 25℃and 60℃,and the highest content of oleic acid(C18:1)was about 73.81％～74.00％.These results provide a theoretical basis for the development and utilization of oil from tiger nut.关键词
油莎豆油/超声辅助提取/工艺优化/抗氧化活性/气相色谱/黄酮/多酚/脂肪酸组成Key words
tiger nut oil/ultrasound assisted extraction/process optimization/antioxidant activity/gas chromatography/flavone/polyphenol/fatty acid composition分类
轻工纺织引用本文复制引用
权煜,刘学强,赵丹丹,饶欢,吴彤娇,郝建雄..超声辅助提取油莎豆油的工艺优化及品质分析[J].食品工业科技,2024,45(10):207-216,10.基金项目
国家自然科学基金面上项目(31972170) （31972170）
国家自然科学基金青年科学基金项目(32201975) （32201975）
河北省农业科技成果转化资金项目(V1648647450672) （V1648647450672）
河北省高等学校科学技术研究项目(QN2022162). （QN2022162）
