摘要
该文以玫瑰花渣为原料,利用响应面法对玫瑰花渣多糖的提取工艺条件进行优化。在单因素实验的基础上,选取提取温度、提取时间、液料比为影响因子,以多糖得率为响应值,根据Box-Behnken中心组合实验设计原理,采用3因素3水平的响应面分析法,建立二次回归模型,研究各变量交互作用及其对玫瑰花渣多糖提取得率的影响。结果表明,通过方差分析可知各因素对玫瑰花渣多糖提取得率影响的大小依次为提取温度、时间、料液比。玫瑰花渣提取多糖的最佳工艺条件为:浸提温度82℃、浸提时间37 min、料液比1∶26(g/m L),在此条件下玫瑰花渣多糖提取得率可达1.585%,与模型预测值1.592%高度相符。
Optimization of technique of extracting polysaccharides from rose flower dregs by response surface methodology has been conducted. On the basis of single factor experiment, taking extraction temperature, extraction time and ratio of solid to liquid as factorial parameters, taking polysaccharide yield as the response value, employing Box - Behnken Design （BBD） and response surface methodology （RSM） of three - factor - three - level test, a mathematical regression model was established to study the interaction the variables and their impact on extracting rate of rose flower dreg polysaccharide. The results indicate importance of three process param- eters affecting extraction yield of polysaccharides is in the ranking of extraction temperature, extraction time and ratio of solid to liquid. The optimum extraction conditions of polysaccharides from rose flower dregs are as follows ： extraction temperature of 82℃, extraction time of 37minutes and ratio of solid to liquid of 1 ： 26 （g/ml）. The extraction yield of polysaccharides of rose flower dregs could be up to 1. 585%, exhibiting a good agreement with the predicted values of 1. 592%.
出处
《梧州学院学报》
2016年第6期37-44,共8页
Journal of Wuzhou University
基金
贵州省科技厅
市科技局学校联合基金(LH[2016]7059)
贵州省毕节市2016年科学发展计划基金([2016]32)
关键词
玫瑰花渣多糖
响应面分析法
提取
优化
Rose flower dreg polysaccharides （RFDP）
Response surface methodology （RSM）
Extraction
Optimization
