首页> 外文期刊>Molecules >Optimizing Ultrasonic Ellagic Acid Extraction Conditions from Infructescence of Platycarya strobilacea Using Response Surface Methodology
【24h】

Optimizing Ultrasonic Ellagic Acid Extraction Conditions from Infructescence of Platycarya strobilacea Using Response Surface Methodology

机译:响应面法优化桔梗桔梗超声波浸提超声波法提取条件

获取原文
       

摘要

The infructescence of Platycarya strobilacea is a rich source of ellagic acid (EA) which has shown antioxidant, anticancer and antimutagen properties. Response surface methodology (RSM) was used to optimize the conditions for ultrasonic extraction of EA from infructescence of P. strobilacea. A central composite design (CCD) was used for experimental design and analysis of the results to obtain the optimal processing parameters. The content of EA in the extracts was determined by HPLC with UV detection. Three independent variables such as ultrasonic extraction temperature (°C), liquid:solid ratio (mL/g), and ultrasonic extraction time (min) were investigated. The experimental data obtained were fitted to a quadratic equation using multiple regression analysis and also analyzed by appropriate statistical methods. The 3-D response surface and the contour plots derived from the mathematical models were applied to determine the optimal conditions. The optimum ultrasonic extraction conditions were as follows: ultrasonic extraction temperature 70 °C, liquid:solid ratio 22.5, and ultrasonic extraction time 40 min. Under these conditions, the experimental percentage value was 1.961%, which is in close agreement with the value predicted by the model.
机译:桔梗的花序发育是鞣花酸(EA)的丰富来源,鞣花酸已显示出抗氧化,抗癌和抗诱变特性。响应面方法(RSM)用于优化从桔梗假单胞菌的果皮超声提取EA的条件。中央复合设计(CCD)用于实验设计和结果分析,以获得最佳处理参数。通过HPLC和UV检测法测定提取物中EA的含量。研究了三个独立变量,例如超声提取温度(°C),液固比(mL / g)和超声提取时间(min)。使用多元回归分析将获得的实验数据拟合为二次方程,并通过适当的统计方法进行分析。应用3-D响应面和数学模型得出的轮廓图确定最佳条件。最佳超声提取条件如下:超声提取温度为70°C,液固比为22.5,超声提取时间为40分钟。在这些条件下,实验百分比值为1.961%,与模型预测的值非常吻合。

著录项

  • 来源
    《Molecules》 |2010年第11期|共10页
  • 作者

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种
  • 中图分类 有机化学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号