任珂, 屠康, 潘磊庆, 陈育彦. 青花菜贮藏期间颜色变化动力学模型的建立[J]. 农业工程学报, 2005, 21(8): 146-150.
    引用本文: 任珂, 屠康, 潘磊庆, 陈育彦. 青花菜贮藏期间颜色变化动力学模型的建立[J]. 农业工程学报, 2005, 21(8): 146-150.
    Ren Ke, Tu Kang, Pan Leiqing, Chen Yuyan. Modeling of the kinetics of color change of broccoli during storage[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2005, 21(8): 146-150.
    Citation: Ren Ke, Tu Kang, Pan Leiqing, Chen Yuyan. Modeling of the kinetics of color change of broccoli during storage[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2005, 21(8): 146-150.

    青花菜贮藏期间颜色变化动力学模型的建立

    Modeling of the kinetics of color change of broccoli during storage

    • 摘要: 该试验利用CIE-L*a*b*(Commission International de I'Eclairage,国际照明委员会制定的色彩空间坐标表色系统)中的a*、b*、H°、TCD(Total Color Difference,总色差)以及叶绿素含量和黄化级数来衡量青花菜色泽的变化情况, 旨在建立贮藏期间多种颜色指标的动力学模型。试验组分为0℃、5℃、10℃条件下分别在HDPE(high-density polyethylene高密度聚乙烯)薄膜单球包装与不包装两种情况下进行。试验结果显示,包装提升了青花菜贮藏期间的活化能,延迟了呼吸跃变的启动。非线性回归分析的结果表明,色泽参数b*和TCD的速率常数符合Arrhenius模型,模型符合一级动力学反应;而a*和H°的变化则可用多项式表示。贮藏青花菜的黄化级数与色泽参数b*之间具有良好的相关性,为利用计算机视觉系统进行颜色分级提供了理论依据。

       

      Abstract: The kinetic models for estimating broccoli color changes during storage were studied. The CIE-L*a*b* color system parameters a*, b*, H°, TCD, chlorophyll content and yellowness degree were used to determine the color changes under the storage condition at 0, 5 and 10℃. The single broccoli ball was packaged and non-packaged with polyethylene film. The experimental results showed that the package greatly promoted the activation energy of broccoli while delayed the respiration peak. The non-linear regression analysis showed that the rate constants of color parameters b* and TCD were assumed to have an Arrhenius-type dependence on temperature. The model followed a first-order reaction. The polynomial model was suitable for estimating the changes of a* and H° values. The observed results demonstrated that the b* value of color parameters was in accordance with yellowness in stored broccoli, which laid a theoretical basis for applying computer vision system application to the color grading of broccoli.

       

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