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高光谱结合分布均匀度指数法的挂面面片水分分布均匀度快速定量表征

石吉勇1,刘传鹏1,吴胜斌2,黄晓玮1,李志华1,邹小波1   

  1. 1. 江苏大学食品与生物工程学院
    2. 江苏大学
  • 收稿日期:2019-07-01 修回日期:2020-05-13 出版日期:2020-08-25 发布日期:2020-08-19
  • 通讯作者: 邹小波 E-mail:zou_xiaobo@ujs.edu.cn
  • 基金资助:
    国家自然科学基金;国家自然科学基金;江苏省重点研发计划

Rapid Quantitative Characterization of Water Distribution Uniformity of Dough Sheet by Hyperspectral Combined with Distributional Homogeneity Index

1, 1, 1, 1,zou xiaobo   

  • Received:2019-07-01 Revised:2020-05-13 Online:2020-08-25 Published:2020-08-19
  • Contact: zou xiaobo E-mail:zou_xiaobo@ujs.edu.cn

摘要: 摘要:水分在挂面面片中的分布不仅关系到面筋网状结构的形成,还影响着挂面干燥的速度与效果。本研究采用高光谱技术结合分布均匀度指数法(Distributional Homogeneity Index, DHI)快速定量表征了面片中水分分布均匀度。首先设置不同水分含量梯度的面片,采用不同的光谱预处理方法和模式识别方法建立水分预测模型,然后通过高光谱可视化技术实现对面片中水分含量分布的可视化,最后以不同和面时间的面片为研究对象,利用分布均匀度指数法对面片中水分分布均匀度进行定量表征。结果表明,采用标准正态变量变换(Standard Normal Variate Transformation, SNV)预处理后的光谱所建模型的预测效果最好;最小二乘支持向量机(Least Square Support Vector Machine ,LS-SVM)水分定量预测模型的预测效果最佳;和面时间为15 min时取得了最小的DHI值,水分分布最为均匀。高光谱技术结合分布均匀度指数法通过测定挂面面片水分分布均匀度能够为挂面和面工艺的自动化监控提供理论指导。

关键词: 高光谱, 面片, 水分分布均匀度, 分布均匀度指数法, 自动化监控

Abstract: Abstract: The production of the dough sheet is the previous process of drying the noodles, the quality of the dough sheet directly affects the quality of noodles. The distribution of water in the dough not only affects the result of mixing dough, but also affects the drying effect of noodles. In order to quantitatively characterize the specific value of water distribution uniformity when the uniformity changes subtly, hyperspectral technology combined with distributional homogeneity index method were used to quantitatively and rapidly characterize the water distribution homogeneity in the dough sheet in this study. Firstly, different water content gradient dough sheet were set up, different spectral pretreatment methods and pattern recognition methods were used to establish water prediction models. Then, hyperspectral visualization technology was used to visualize the water content distribution in dough sheet. Finally, the dough sheet with different mixing time were taken as research objects, The Distributional Homogeneity Index method was used to quantitatively characterize the water distribution uniformity in the dough. The results show that the model constructed by SNV pre-processing has the best prediction effect. And the prediction effect of LS-SVM model was the best in the selection of water quantitative prediction model. The Distributional Homogeneity Index method shows that the water distribution is the most uniform when the dough time is 15 min. It was verified the feasibility of using the hyperspectral technology combined with the distributional homogeneity index for measuring the water homogeneity of the dough sheet, which provided theoretical guidance for the automatic monitoring of the mixing process.

Key words: hyperspectral, dough sheet, water distribution homogeneity, distributional homogeneity index, automatics monitoring

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