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响应面法优化超声波辅助提取葡萄籽中油脂及其脂肪酸成分分析 被引量:9

Optimization of ultrasonic-assisted extraction of grape seed oil by response surface methodology and its fatty acid composition analysis
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摘要 在单因素试验基础上,通过响应面优化试验确定葡萄籽油脂的最佳提取工艺,采用气相色谱-质谱联用法对油脂的脂肪酸成分进行分析。结果表明,葡萄籽油脂的最佳提取工艺为料液比1∶15(g/mL)、提取温度29℃、提取时间25min,在此条件下,提取率达到21.94%。脂肪酸的主要成分为亚油酸70.49%、油酸13.55%、棕榈酸8.76%、硬脂酸6.39%、亚麻酸0.34%和花生酸0.21%,其中不饱和脂肪酸占总脂肪酸的84.38%。采用响应面法确定的提取条件合理,可用于葡萄籽油脂的提取。 On the basis of single factor test, the extraction technology of grape seed oil was optimized by response surface methodology. Fatty acids were analysed by gas chromatography coupled mass spectrum (GC-MS). The results showed that the optimum extraction conditions were as follows: ratio of liquid to solid 15 : l(g/mL), extraction temperature 29 ℃, and extraction time 25 min. Under the optimum conditions, the oil yield was 21.94%. The main fatty acids were linoleic acid 70.49%, oleic acid 13.55%, palmitic acid 8.76%, stearic acid 6.39%, linolenic acid 0.34 % and arachidic acid 0.21%. The unsaturated fatty acids comprised 84.38% of the total fatty acids. The obtained conditions were credible which could be used for extraction of grape seed oil.
作者 王丽娟 杨宋琪 郭兴霞 罗光宏 WANG Li-juan, YANG Song-qi, GUO Xing-xia, LUO Guang-hong(Hexi University, Gansu Engineering Technology Research Center for Microalgae, Key laboratory of Hexi Corridor Resources Utilization of Gansu, Zhangye 734000, Gansu, Chin)
机构地区 河西学院
出处 《粮食与油脂》 北大核心 2018年第3期49-52,共4页 Cereals & Oils
基金 甘肃省高校协同创新科技团队支持计划(2017C-17) 甘肃省科技计划资助项目(1407GCCG001)
关键词 葡萄籽油 响应面法 气相色谱-质谱法 脂肪酸 grape seed oil response surface methodology GC-MS fatty acid
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