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机构地区:[1]武汉轻工大学生物与制药工程学院,武汉430023
出 处:《武汉轻工大学学报》2016年第3期39-44,共6页Journal of Wuhan Polytechnic University
摘 要:采用Two-Lever与响应面法对超声辅助芦笋废弃物提取黄酮类化合物的工艺参数进行设计优化。通过SAS 9.0软件分析,先后确定主效因子与最佳工艺参数:在超声功率774.3k W,液料比为80.5∶1和萃取温度84.7℃的情况下,对芦笋废弃物中黄酮进行乙醇萃取,黄酮提取量为8.662±0.15 mg/g,与预测值(8.737 mg/g)非常相近,R2(=96.61%)显示该回归模型可准确地预测超声波辅助芦笋废弃物中黄酮的乙醇提取量。Experiments were carried out to optimize the ethanol extraction parameters of flavonoids from asparagus peel which was pretreatmented by ultrasonicusing response surface methodology in the study. All the data were analyzed by SAS 9. 0 software and the optimized conditions were obtained. Under the optimum conditions( liquid-solidratio 80. 5∶ 1,774. 3 k W,84. 7 ℃),the quantity of flavonoids extracted was up to 8. 662 ± 0. 15 mg / g,which was close to the predicted value( 8. 737 mg / g). The model had a satisfactory coefficient of R2( = 96. 61%) and verified experimentally. The results showed that response surface methodology was a useful method to optimize the ethanol extraction parameters of flavonoids from asparagus peel which was pretreated by ultrasonic.
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