基于人工神经网络法优化河蚌多糖超高压提取工艺
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(1. 蚌埠学院生物与食品工程系,安徽 蚌埠 233030;2. 南京农业大学食品科技学院,江苏 南京 210095)

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张斌(1979—),男,蚌埠学院副教授,硕士。E-mail:zhangbin207@163.com

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安徽省教育厅自然科学研究重点项目(编号:KJ2013A182);2016年高校领军人才引进资助项目;2014年蚌埠学院学术技术带头人及后备人选项目;安徽省质量工程卓越工程师培养计划项目(编号:2013zyjh040)


Optimization on ultra high pressure extraction process of mussel polysaccharide based artificial neural network
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(1. Department of Biological and Food Engineering, Bengbu University, Bengbu, Anhui 233030, China; 2. College of Food Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China)

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    摘要:

    以取珠后的蚌肉为原料,采用超高压方法提取河蚌多糖。利用响应面试验设计获取神经网络所需的训练样本,利用训练成熟的神经网络进行训练和仿真,分析因素(压力强度、料液比和保压时间)以及因素间的交互作用对河蚌多糖得率的影响,并对超高压得河蚌多糖的工艺进行优化。结果表明:人工神经网络法比响应面法的优化准确性高,预测值的可信度较强;超高压提取河蚌多糖最佳工艺条件为:压力强度340 MPa、料液比142 (g/mL)、保压时间10 min,该条件下的多糖得率预测值为7.18%,实测值为7.12%,相对误差为0.84。该工艺具有短时、高效、环保等优点,为河蚌多糖的开发利用提供技术依据。

    Abstract:

    Based on the raw materials of mussel meat after taking out the pearl, ultra high pressure is used to extract mussel polysaccharide. The response surface experimental design was used to get the training samples for the neutral network, while the sophisticated neutral network was used for training and stimulating, analyzing extraction factors (pressure strength, solid- liquid ratio and pressure holding time), the interaction between the factors that affected the extraction rate of mussel polysaccharide, and optimizing the ultra high pressure extraction process of mussel polysaccharide. The results showed that artificial neutral network optimization was more accurate than response surface method optimization, and the reliability of predictive value was greater. The optimum conditions for ultra high pressure extraction of mussel polysaccharide were: the pressure strength 340 MPa, the solid-liquid ratio 421 (mL/g), the pressure holding time 10 min, under this condition, the predicted extraction rate of polysaccharide was 7.18%, while the measured value was 7.12%, with the relative error 0.84%. The process has the advantages of short time, high efficiency, environmental protection etc., and provides technical basis for the development and utilization of mussel polysaccharide.

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张斌,孙兰萍,施颖,等.基于人工神经网络法优化河蚌多糖超高压提取工艺[J].食品与机械,2016,32(11):148-153.
ZHANGBin, SUNLanping, SHIYing, et al. Optimization on ultra high pressure extraction process of mussel polysaccharide based artificial neural network[J]. Food & Machinery,2016,32(11):148-153.

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  • 在线发布日期: 2023-03-09
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