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食品研究与开发:2017,38(23):44-49,99
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响应面优化海带岩藻聚糖硫酸酯的提取工艺研究
聂小伟,何粉霞,陈志兵,尹晓斌,孙冬梅,高森森,孙齐卓
(威海海洋职业学院食品工程系,山东威海264300)
Study on the Extraction Technology of Fucoidan from Kelp Off-cuts by Response Surface Methodology
NIE Xiao-wei,HE Fen-xia,CHEN Zhi-bing,YIN Xiao-bin,SUN Dong-mei,GAO Sen-sen,SUN Qi-zhuo
(College of Food Engineering,Weihai Ocean Vocational College,Weihai 264300,Shandong,China)
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投稿时间:2017-04-11    
中文摘要: 以海带加工下脚料为试验材料,运用响应面分析,优化超声波辅助酸液提取岩藻聚糖硫酸酯工艺条件。单因素试验显示,在超声波功率为150 W,浸提2次时能达到较好稳定效果。在上述基础上,选取的自变量为浸提液pH值、液料比(mL/g)、浸提温度(℃)和超声波时间(min),响应值为岩藻聚糖硫酸酯提取率(%),结合Box-Behnken试验设计,探讨岩藻聚糖硫酸酯提取率受各因素及其交互作用的影响。结果表明,最佳工艺参数:浸提液为pH1.60、液料比为37∶1(mL/g)、浸提温度为78℃和超声波处理时间为71 min。经试验验证得到,33.86%的岩藻聚糖硫酸酯提取率与34.30%的理论预测值相比,其相对误差为1.28%。由此可见,经优化的工艺参数可靠,回归模型预测效果较好。研究结果可为从海带加工下脚料中岩藻聚糖硫酸酯的提取提供技术参考。
Abstract:The kelp off-cuts was used as raw materials.The ultrasonic-assisted extraction of fucoidan from kelp off-cuts with acidizing fluid.Fucoidan was optimized using the response surface methodology.The results of onefactor-at-a-time experiments showed that provided the best stability for the proanthocyanidins under power ultrasonics 150 W and extraction two times.pH,liquid to solid ratio(mL/g),extraction temperature(℃),and ultrasonic time(min)were selected as independent variables,while the extraction yield of fucoidan(%)was taken as response variable.The optimization was carried out based on Box-Behnken experimental design by investigating the individual and combined effects of the four factors on the response variable.The optimum extraction conditions were determined as follows:pH was 1.60 water extract with solid-liquid ratio of 37 ∶1(mL/g)at 78℃for 71 min.Under these conditions,the fucoidan yield obtained was 33.86%with a relative error of 1.28%as compared with the model prediction of 34.30%indicating that these parameters are reliable.The experiment result was consistent with the prediction result.This research can provide a technical reference for fucoidan extraction from kelp off-cuts.
文章编号:201723008     中图分类号:    文献标志码:
基金项目:2016年山东省高等学校科技计划项目(J16LE60);2015年山东省高等学校科技计划项目(J15LE55)
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