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响应面优化超声提取绿色棉纤维总黄酮

Extraction of total flavonoids from green cotton fiber by ultrasonic-based response surface optimization

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【作者】 陈沛; 鲍军秀; 王斐; 汤寿伍; 刘海峰; 李鸿彬;

【Author】 CHEN Pei;BAO Junxiu;WANG Fei;TANG Shouwu;LIU Haifeng;LI Hongbin;College of Life Sciences,Shihezi University;Key Laboratory of Oasis Town and Mountain Basin System Ecology,Xinjiang Production and Construction Corps;Key Laboratory of Xinjiang Phytomedicine Resource and Utilization,Ministry of Education;China Natural Color Cotton Corp.Ltd.;

【通讯作者】 刘海峰;李鸿彬;

【机构】 石河子大学生命科学学院; 绿洲城镇与山盆系统生态兵团重点实验室; 新疆植物药资源利用教育部重点实验室; 中国彩棉(集团)股份有限公司;

【摘要】 【目的】优化超声提取绿色棉纤维中总黄酮工艺条件,为合理利用及鉴别天然绿色棉纤维提供依据。【方法】以天然绿色棉纤维为原料,利用超声空化效应加速黄酮溶解于乙醇中,在单因素试验基础上,结合Box-Benhnken中心组合原理及响应面设计优化试验条件。【结果】料液比为1∶50 g/mL时,总黄酮得率达到最大值,提取最适料液比为1∶50 g/mL,响应面试验中建立的模型的CV值=0.87%,影响绿色棉纤维总黄酮得率的顺序为提取时间>乙醇浓度>料液比,A料液比为1∶50 g/mL、B乙醇浓度50%、C提取时间50 min为最佳提取条件。【结论】超声波法提取绿色棉纤维总黄酮的最佳条件参数为料液比1∶50 g/mL、乙醇浓度50%、提取时间50 min;获得平均总黄酮得率为5.25%。

【Abstract】 【Objective】 This study is to optimize ultrasonic extraction conditions of total flavonoids in NGC fibers, in the hope of providing the basis for reasonable utilization and identification of NGC fibers.【Methods】 The NGC fibers were used as raw materials and were utilized for total flavonoids extract by ultrasonic cavitation effect to accelerate the dissolution of flavonoids in ethanol, to optimize the experimental conditions with Box-Benhnken center combination principle and response surface design.【Results】 The optimal extraction conditions were as follows: solid-liquid ratio of 1∶50 g/mL,ethanol concentration of 50%,and extraction time of 50 min.Under these conditions, the average yield of total flavonoids was 5.25%,which was the best condition for the extraction of total flavonoids from NGC fibers by ultrasonic method.【Conclusion】 The optimal condition Parameter for ultrasonic extraction of total flavonoids from green cotton fibers is a liquid to material ratio of 1∶50 g/mL,ethanol concentration 50%,extraction time 50 min, obtaining an average total flavonoid yield of 5.25%.

【基金】 新疆维吾尔自治区创新环境建设专项(2020D14035);新疆生产建设兵团科技攻关与成果转化项目(2016AC017)~~
  • 【文献出处】 新疆农业科学 ,Xinjiang Agricultural Sciences , 编辑部邮箱 ,2024年03期
  • 【分类号】TS102.2
  • 【下载频次】77
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