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响应面法优化超声波提取蓝莓多酚工艺 被引量:18

Optimization of ultrasonic-assisted extraction process of blueberry polyphenols using response surface methodology
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摘要 【目的】对超声波提取蓝莓工艺进行优化,为其商业化生产提供技术支持。【方法】以蓝莓冻干粉为试验原料,在单因素试验基础上选择乙醇浓度、料液比、超声时间等3个因素进行响应面设计,采用Box-Behnken中心组合试验设计和响应面分析法,建立以蓝莓多酚含量为响应值的二次回归方程。【结果】通过响应面分析建立蓝莓多酚超声萃取回归方程为:y=10.88-0.15x1+0.042x2+0.055x3-0.27x1x2-0.15x1x3-0.090x2x3-0.56x12-0.35x22-0.15x32(x1为乙醇浓度,x2为料液比,x3为超声时间,y为蓝莓多酚萃取率,R2=0.9692),该模型拟合度好;并确定蓝莓多酚萃取的影响因素顺序为:x1>x3>x2;最佳提取工艺条件为:提取次数两次、超声功率400 W、乙醇浓度55%、料液比1∶25、超声时间1.5 h,在此条件下蓝莓多酚含量为11.05 mg/g。【结论】研究建立的模型适合蓝莓多酚超声波提取,可用于实际生产。 【Objective】Ultrasonic-assisted extraction process of blueberry polyphenols was improved to provide technical support for its commercialized production. 【Method】The freeze-dried powder of blueberries was used as material. Three factors of ethanol concentration, solid/liquid ratio, ultrasonic time of polyphenol extraction were chosen and used in the response surface analysis on the basis of single-factor experiment. The quadratic regression model with the response values of polyphenols yield was established by Box-Behnken design. 【Result】The full model of polyphenol extraction in blueberries was established using response surface methodology, which was y=10.88-0.15x1+0.042x2+0.055x3-0.27x1x2-0.15x1x3-0.090x2x3-0.56x1 2-0.35x2 2-0.15x3 2(x1ethanol concentration, x2material/solid, x3ultrasonic time, Y polyphenol yield). R2 was 0.9692. The degree of fitting of the model was good. The order of impact factors was x1〉x3〉x2. The optimized extraction conditions were as follows: ultrasonic power of 400 W, extraction times of 2, ethanol concentration of 55%, solid/liquid ratio of 1∶25, and ultrasonic time of 1.5 h. The polyphenols yield of 11.05 mg/g was achieved under the optimized conditions. 【Conclusion】This model was suitable for extracting blueberry polyphenols and could be used for practical production.
出处 《南方农业学报》 CAS CSCD 北大核心 2014年第2期285-290,共6页 Journal of Southern Agriculture
基金 国家自然科学基金项目(31101270)
关键词 蓝莓 多酚 响应面 超声波 提取 工艺优化 blueberry polyphenol response surface methodology ultrasonic extraction processing improvement
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