首页|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

Optimization on Extraction Technology of Inulin by Orthogonal Design and Artificial Neural Network Model

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  • NETL
  • NSTL
  • 维普
  • 万方数据
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 %.
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%.

chicoryinulinorthogonal test designartificial neural network model

陈庆安、陈兴都、翟丹云、董延虎、高晓辉、李赟、陈海龙

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甘肃省商业科技研究所,甘肃兰州730020

菊苣 菊粉 正交试验设计 人工神经网络模型

甘肃省科学技术厅甘肃省技术研究与开发专项计划甘肃省科技厅甘肃省科技支撑计划

1207TCYA0392011GS0408

2015

10.3969/j.issn.1005-6521.2015.23.010

食品研究与开发
天津市食品研究所,天津市食品工业生产力促进中心

食品研究与开发

CSTPCD北大核心
影响因子：0.561
ISSN：1005-6521
年,卷(期)：2015.36(23)
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