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响应面法优化超声-微波协同萃取槟榔籽油及其脂肪酸组成分析 被引量:8

Optimization of Ultrasonic-Microwave Assisted Extraction of Betel Nut Oil by Response Surface Methodology and Analysis of Its Fatty Acid Composition
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摘要 利用超声-微波协同萃取技术提取槟榔籽油,采用紫外分光光度法快速测定所提取槟榔籽油的含量。通过单因素和响应面试验,考察提取时间、提取温度、液固比对槟榔籽油提取率的影响,确定了最佳提取工艺,结果表明:恒温模式、提取时间22min、温度65℃、液料比11:1(mL/g)条件下,槟榔籽油的提取率可达14.29%。槟榔籽油脂的气相色谱-质谱法分析表明,其主要成分为豆蔻酸33.50%、油酸20.40%、亚油酸19.19%、棕榈酸15.82%、月桂酸9.51%、硬脂酸1.59%。 Betel nut oil was obtained by ultrasonic-microwave assisted extraction and its compositions were rapidly determined by a spectrophotometer.The extraction process conditions were optimized by response surface tests on the basis of single factor tests.According to the effects of extraction time,extraction temperature and material-liquid ratio on extraction rate of betel nut oil,the optimal extraction process parameters were extraction time of 22 min,extraction temperature of 65 ℃ and materialliquid ratio of 1:11(g/mL).Under the optimal extraction process conditions,the extraction rate of betel nut oil was up to 14.29%.Gas chromatography analysis showed that the major compositions of betel nut oil were 33.5% myristic acid,20.4% 9-octadecenoic acid,19.19% 12-octadecadienoic acid,15.82% hexadecanoic acid,9.51% dodecanoic acid and 1.59% octadecanoic acid.
出处 《食品科学》 EI CAS CSCD 北大核心 2012年第2期67-71,共5页 Food Science
关键词 槟榔籽油 超声-微波协同萃取 响应面法 紫外分光光度法 气相色谱-质谱法 betel nut oil ultrasound-microwave assisted extraction response surface methodology(RSM) ultraviolet spectrophotometry gas chromatography-mass spectrometry(GC-MS)
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