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响应面法优化费菜多酚的提取工艺研究

周文, 强毅, 鲁秀兰, 王喆之

周文, 强毅, 鲁秀兰, 王喆之. 响应面法优化费菜多酚的提取工艺研究[J]. 食品工业科技, 2014, (22): 249-253. DOI: 10.13386/j.issn1002-0306.2014.22.046
引用本文: 周文, 强毅, 鲁秀兰, 王喆之. 响应面法优化费菜多酚的提取工艺研究[J]. 食品工业科技, 2014, (22): 249-253. DOI: 10.13386/j.issn1002-0306.2014.22.046
ZHOU Wen, QIANG Yi, LU Xiu-lan, WANG Zhe-zhi. Optimization of polyphenol extraction from Sedum Aizoon L.by response surface methodology[J]. Science and Technology of Food Industry, 2014, (22): 249-253. DOI: 10.13386/j.issn1002-0306.2014.22.046
Citation: ZHOU Wen, QIANG Yi, LU Xiu-lan, WANG Zhe-zhi. Optimization of polyphenol extraction from Sedum Aizoon L.by response surface methodology[J]. Science and Technology of Food Industry, 2014, (22): 249-253. DOI: 10.13386/j.issn1002-0306.2014.22.046

响应面法优化费菜多酚的提取工艺研究

基金项目: 

中央高校基本科研业务费专项资金(GK201402030);

详细信息
    作者简介:

    周文 (1991-) , 女, 在读硕士研究生, 研究方向:植物生物技术。;

    王喆之 (1958-) , 男, 博士, 教授, 研究方向:植物生物技术。;

  • 中图分类号: R284.2

Optimization of polyphenol extraction from Sedum Aizoon L.by response surface methodology

  • 摘要: 目的:利用响应面法对费菜中多酚物质的提取条件进行优化。方法:单因素实验基础上选取实验因素与水平,根据Box-Behnken Design(BBD)实验设计原理,采用三因素三水平的响应面分析法,依据回归分析确定各工艺条件的影响因素,以费菜多酚物质含量为响应值作响应面分析实验。结果:在分析各个因素的显著性和交互作用后,得出费菜多酚物质浸提的最佳工艺条件为乙醇体积分数67%,浸提温度41℃,浸提时间2h,料液比1∶25(g/m L),以焦性没食子酸为标准品,费菜多酚物质一次提取含量可达60.90mg/g。结论:响应曲面回归方程与实验结果拟合性好,此模型合理可靠,可用于实际预测。 
    Abstract: Objective:The main research object was Sedum Aizoon L. Besides, an optimization of extraction process for from Sedum aizoon L. was established. Methods:Based on the single factor analysis, a 3-factor, 3-level Box-Behnken experimental design was applied to evaluate the effect of the three factors, including ethanol concentration, ratio of material to liquid and extraction temperature. Results:The optimal extraction conditions were ethanol concentration of 67% (v/v) , extraction temperature 41℃, extraction time 2h, solid-to-liquid ratio 1∶25 (w/v) . Under such extraction conditions, the experimental yield of polyphenols obtained after the first extraction was up to 60.90mg/g, which was close to the model-predicted value. Conclusion :The established regression equation for polyphenols yield had an excellent goodness of fit. Therefore it was credible and could be used for practical prediction.
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出版历程
  • 收稿日期:  2014-03-10

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