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中国精品科技期刊2020
许芳, 吴雨龙, 王俏娜, 付爱叶, 汪振炯, 王仁雷, 华春. 超声波协同酶法提取菊苣根多糖工艺优化[J]. 食品工业科技, 2017, (09): 168-173. DOI: 10.13386/j.issn1002-0306.2017.09.024
引用本文: 许芳, 吴雨龙, 王俏娜, 付爱叶, 汪振炯, 王仁雷, 华春. 超声波协同酶法提取菊苣根多糖工艺优化[J]. 食品工业科技, 2017, (09): 168-173. DOI: 10.13386/j.issn1002-0306.2017.09.024
XU Fang, WU Yu-long, WANG Qiao-na, FU Ai-ye, WANG Zhen-jiong, WANG Ren-lei, HUA Chun. Optimization of extraction technology of polysaccharide from roots of Cichorium intybus L.by ultrasound assisted with enzyme hydrolysis[J]. Science and Technology of Food Industry, 2017, (09): 168-173. DOI: 10.13386/j.issn1002-0306.2017.09.024
Citation: XU Fang, WU Yu-long, WANG Qiao-na, FU Ai-ye, WANG Zhen-jiong, WANG Ren-lei, HUA Chun. Optimization of extraction technology of polysaccharide from roots of Cichorium intybus L.by ultrasound assisted with enzyme hydrolysis[J]. Science and Technology of Food Industry, 2017, (09): 168-173. DOI: 10.13386/j.issn1002-0306.2017.09.024

超声波协同酶法提取菊苣根多糖工艺优化

Optimization of extraction technology of polysaccharide from roots of Cichorium intybus L.by ultrasound assisted with enzyme hydrolysis

  • 摘要: 目的:优化超声波协同酶法提取菊苣根多糖的工艺条件。方法:采用中心组合设计方法(Box-Behnken Design),建立以超声温度、超声时间、加酶量、酶解时间和液料比对菊苣根多糖得率的影响的二次回归模型。结果:菊苣根多糖提取的最佳工艺条件为超声温度45℃、超声时间35 min、加酶量1.6%、酶解时间1.8 h、液料比44∶1(m L/g),在此条件下,菊苣根多糖的得率为46.75%,与预测得率47.71%接近。结论:该回归模型有极显著性,可以作为菊苣根多糖提取工艺的回归分析和参数优化。 

     

    Abstract: Objective: Optimization of extraction technology of polysaccharide from roots of Cichorium intybus L. by ultrasound assisted with enzyme hydrolysis. Methods: To establish the effects of ultrasonic temperature, ultrasonic time, enzyme dosage, enzyme solution time and liquid to solid ratio on Chicory roots polysaccharide yield of quadratic regression model by using Box-Behnken design. Results: The optimum extraction conditions of polysaccharide from roots of Cichorium intybus L. were ultrasonic temperature 45 ℃, ultrasonic time 35 min, enzyme dosage 1.6%, enzymolysis time 1.8 h, liquid-to-solid ratio of44∶ 1 ( m L/g) . Under these conditions, the extraction of Chicory roots polysaccharide was 46.75%, closed to the predicted yield of 47.71%. Conclusion: The regression model was significant, could be used as the chicory roots polysaccharide extraction process of regression analysis and parameter optimization.

     

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