首页> 中文期刊> 《食品研究与开发》 >正交设计-人工神经网络模型优化菊粉提取

正交设计-人工神经网络模型优化菊粉提取

         

摘要

In this experiment root of Cichorium intybus L. as a raw material, hot water was used as solvent to optimize the conditions for maximum extraction of inulin from Cichorium intybus L. by orthogonal design and artificial neural network model. Results showed that the ratio of material and solvent 1 :8 (g/mL), extraction temperature 75℃, and time 2 h, under the condition of extraction once, extraction ratio of inulin reached to 33.29%.%以菊苣为原料,采用热水浸提法提取菊粉,通过正交试验设计-人工神经网络模型对热水提取菊粉的工艺参数进行优化.结果显示在料液比1:8(g/mL),提取温度75℃,提取时间2 h,提取1次的条件下,菊粉提取率最高可达到33.29 %.

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