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。
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 of 44:1 (mL/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.
出处
《食品工业科技》
CAS
CSCD
北大核心
2017年第9期168-173,180,共7页
Science and Technology of Food Industry
基金
国家高技术研究发展计划(2012AA021701)
国家自然科学基金(21376112)
江苏省自然科学基金(BK20141081)
南京市环境科学与工程重点学科建设项目(20141123)
江苏省高等学校大学生创新创业训练计划项目(201611460001Z)