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机构地区:[1]北京工商大学北京市植物资源研究开发重点实验室,北京100048
出 处:《食品科学》2013年第14期91-95,共5页Food Science
基 金:北京市科技新星项目(2008B08);"中青年骨干人才培养计划"项目(PHR20110873);质检公益性行业科研专项(201010023)
摘 要:利用响应面分析法对雪灵芝中黄酮类物质的提取工艺进行优化。通过单因素试验分别考察乙醇体积分数、提取时间、提取温度和料液比对雪灵芝黄酮提取率的影响,选取适当的试验因素水平,利用Design Expert软件和Box-Behnken设计法设计响应面试验,对各个因素的显著性和交互作用进行分析。结果表明:雪灵芝黄酮醇提工艺的最佳条件为料液比1:40(g/mL)、乙醇体积分数68.6%、提取温度66℃、提取时间0.83h(50min),在该条件下验证总黄酮提取率达到5.07mg/g,接近于预测值5.10mg/g。研究表明,优化得到的回归模型具有良好的预测能力。The optimal extraction conditions for flavonoids from Arenaria kansuensis Maxim.were determined using response surface methodology(RSM).On the basis of single-factor tests,the effects of ethanol concentration,extraction duration,extraction temperature,and liquid-material ratio on extraction rate were explored.A regression model describing extraction rate of flavonoids as a function of three variables was established with the Design-Expert software according to the Box-Behnken design principle and experimental data.Quadratic regression analysis was used to establish a mathematical model describing flavonoids extraction.The optimal extraction conditions for flavonoids from Arenaria kansuensis Maxim.were material-liquid ratio of 1:40(g/mL),ethanol concentration of 68.6%,extraction temperature of 66 ℃ and extraction time of 0.83 h.Under the optimal extraction conditions,the maximum extraction yield of flavonoids was 5.07 mg/g,which was close to the predicted value of 5.10 mg/g.Therefore,the established regression model has good prediction capability.
分 类 号:TS201.2[轻工技术与工程—食品科学]
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