###
食品研究与开发:2019,40(21):100-106
本文二维码信息
码上扫一扫!
响应面法优化藜麦种子黄酮的超声波辅助提取工艺
WU Ya-lu,CHEN Qi,CHEN Meng-tao,YING Peng-fei,JIANG Yu-rong*,LU Guo-quan
(College of Agricultural and Food Science,Zhejiang A&F University,Hangzhou 311300,Zhejiang,China)
Optimization of Ultrasonic Assist Extraction Response Surface Methodology Quinoa Seed Flavonoids
College of Agricultural and Food Science,Zhejiang A&F University,Hangzhou 311300,Zhejiang,China
摘要
图/表
参考文献
相似文献
本文已被:浏览 4983次   下载 0
投稿时间:2019-03-06    
中文摘要: 利用响应面分析方法研究超声波辅助提取藜麦种子黄酮的最佳提取工艺。在选取提取时间、超声波功率、温度做单因素试验的基础上,进行三因素三水平的Central Composite 中心组合研究,建立影响因素与黄酮总得率之间的函数关系,并运用Design Expect 8.0 软件对试验数据进行分析,通过响应面分析法对提取条件进行优化。修正理论值为提取时间35 min,超声波功率42 W,提取温度59 ℃进行验证,实际总黄酮含量可达0.31%,与预测值相符。控制提取温度和提取时间不变,比较超声波辅助提取法和热回流提取法所提取的总黄酮含量,结果显示,超声波辅助提取法的提取效率更高,其平均提取量为热回流法的1.19 倍。
Abstract:The process optimization for ultrasonic-assisted solvent extraction of flavonoids from quinoa seeds by response surface analysis was investigated in the study.On the basis of single factor test,the extraction time,temperature and ultrasonic power were selected for the three-factor,three-level central composite experimental design.Subsequently,the functional relation was established between the factors and the total content of flavone.Design Expect 8.0 software was employed to analyze the test data and the response surface method was applied to optimize the extraction conditions.The results indicated that the obtained optimum extraction conditions were as follows:extraction time 35 min,ultrasonic power 42 W,extraction temperature 59 ℃.Under these conditions,the extraction yields of total flavonoids from quinoa seeds reached 0.31%,which was well matched with the predicted content.Controlling the extraction temperature and time under the same condi-tions,the ultrasonic assist extraction was compared with thermal reflux extraction,with the content of total flavonoids as indicators.The results showed that the ultrasonic extraction was more superior,as the average extraction content of total flavonoids was 1.19 times that of thermal reflux extraction.
文章编号:201921018     中图分类号:    文献标志码:
基金项目:浙江省重大科技专项计划项目(2011C12030);青海省海西州科技项目(2012-Y01);浙江农林大学学生科研创新项目(KX20180014)
引用文本:


用微信扫一扫

用微信扫一扫