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食品研究与开发:2022,43(7):68-73
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响应面法优化紫大薯花青素超声辅助提取工艺
(海南大学动物科技学院,海南 海口 570100)
Optimization of Ultrasonic-Assisted Extraction Conditions for Anthocyanins from Dioscorea alata L.via Response Surface Methodology
(School of Animal Science and Technology,Hainan University,Haikou 570100,Hainan,China)
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投稿时间:2021-10-11    
中文摘要: 基于超声辅助提取法,优化紫大薯花青素提取工艺。通过单因素试验确定盐酸体积分数、超声时间、料液比水平,再结合响应面分析,得到花青素提取最优工艺。结果表明,紫大薯花青素最佳提取工艺条件为料液比1∶22(g/mL)、盐酸体积分数0.63%、超声时间19 min。在此条件下,花青素的提取量为93.62 mg/100 g,比未优化前花青素提取量有明显提升。响应面法优化后的提取工艺提取量较高,相比之前用时更少且更易于批量提取。
Abstract:Anthocyanin extraction was optimized based on an ultrasonic-assisted extraction method.The factor levels of material-to-liquid ratio,hydrochloric acid volume fraction and ultrasonic extraction time were determined via single-factor experiments.Subsequently,Box-Beknhen design-response surface analysis was applied.The results indicated that best extraction method was as follows:material-to-liquid ratio of1 ∶22(g/mL),hydrochloric acid volume fraction of 0.63%,and ultrasonic extraction time of 19 min.Under these conditions,the extracted content of anthocyanins significantly increased to 93.62 mg/100 g when compared to the nonoptimized medium.Furthermore,the optimal extraction condition using the response surface methodology improved the extraction content,consumed less time,and simplified bulk extraction than before.
文章编号:202207010     中图分类号:    文献标志码:
基金项目:国家自然科学基金(31960677);海南大学科研启动基金项目(KYQD(ZR)1943)
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