摘要
目的对羊栖菜多酚提取工艺进行优化研究。方法通过乙醇溶剂提取羊栖菜中多酚,探讨乙醇浓度、提取时间、料液比以及提取温度等因素对羊栖菜多酚提取的影响,在单因素的基础上,选取乙醇浓度、提取时间和液料比为影响因子,应用Box-Benhnken中心组和设计原理进行3因素3水平实验设计,以羊栖菜多酚的提取量为响应值,运用响应面(response surface methodology,RSM)法对羊栖菜多酚提取工艺进行优化。结果回归模型具有高度显著性,方程对试验拟合较好,可以对羊栖菜多酚提取量进行很好的分析和预测;各因子对提取量的影响大小依次是乙醇浓度>料液比>提取时间,羊栖菜多酚最佳提取条件为乙醇浓度25%、提取时间3 h、液料比30:1(V:m)、提取温度40℃。结论在此条件下羊栖菜多酚的提取率达7.91 mg/g,与预测值8.02 mg/g基本一致。
Objective To optimize the extraction conditions of polyphenols from Sargassum fusiforme. Methods Polyphenols was extracted from Sargassum fusiforme with ethanol as solvent. The effects of ethanol concentration, extraction temperature, extraction time, ratio of solvent to raw material on the extraction of polyphenols from Sargassum fusiforme were studied. Based on the results of single factor experiments, ethanol concentration, extraction time and liquid ratio were chose as influence factors, Box-Benhnken Design Center combination method of 3 factors and 3 levels experimental design was applied to further optimize extraction hydrolysis conditions, and the degree of extracting ratio was assayed by response surface methodology. Results The model was of great difference, and the established regression equation for polyphenols yield had an excellent goodness of fit. Therefore the polyphenols from Sargassum fusiforme could be analyzed and predicted by the model. Factors influencing the extraction of polyphenols from the Sargassum fusiforme were in the order as follows: ethanol concentration>solvent/material ratio>extraction time. The optimum conditions were ethanol concentration 25%, extraction time 3 h, solid-to-liquid ratio 30:1 (V:m), and extraction temperature 40 ℃. Conclusion Under these conditions, the extraction ratio of polyphenols from Sargassum fusiforme is up to 7.91 mg/g, which is highly consistent with the predictive value of 8.02 mg/g.
出处
《食品安全质量检测学报》
CAS
2015年第8期2896-2902,共7页
Journal of Food Safety and Quality
基金
国家海洋公益行业科研专项(201305015)
福建省自然科学基金项目(2013J01134)~~
关键词
羊栖菜多酚
提取工艺
单因素
响应面
Sargassum fusiforme polyphenols
extraction process
single factor
response surface methodology