光学扩散特征的生鲜肉细菌总数的无损检测方法

doi:10.3964/j.issn.1000-0593(2014)03-0741-05

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摘要：细菌总数是生鲜肉的最主要安全参数之一，肉品的光学扩散特征反映其细菌总数。对高光谱扩散数据利用不同的拟合算法处理与分析，并比对生鲜猪肉细菌总数建模的相关性差异，确定了用于最终建模的最佳扩散特征参数，为后续的装置开发提供建模依据。冰箱调至4 ℃恒温，在里面放置63个分割好的猪肉样品，每天间隔固定时间从里面随机取出4~5块样品，获取猪肉表面的400~1 100 nm波长范围内高光谱散射图像，从高光谱图像中提取猪肉的扩散光谱曲线，利用Lorentz函数和Gompertz函数以及修正后的函数，拟合处理与分析扩散数据，拟合后的不同参数可以代表样品的特征光谱，细菌总数的标准值用平板计数法获得，然后单独用各单个参数、多个参数结合的方式，多元线性回归的统计方法，与细菌总数分别建立模型。实验结果表明，Lorentz三参数结合，Lorentz四参数结合，Gompertz四参数拟合的模型相关系数较高，其校正集和预测集相关系数分别为0.93，0.96，0.96和0.90，0.90，0.92，标准偏差分别为0.47，0.44，0.39和0.56，0.46，0.42，其中，相关性最好的是Gompertz四参数结合，在装置的开发中可以优选相关性和稳定性最好的模型导入装置系统中。

关键词：生鲜猪肉;光学扩散特征;高光谱;细菌总数;Lorentz;Gompertz

Abstract：The objective of this study is to develop a hyperspectral imaging system to predict the bacteria total viable count in fresh pork. The hyperspectral scattering data were curvefitted by different fitting methods, and correlation differences of models were compared based on the bacteria total viable count of fresh pork, thus providing modeling basis of device for future study. Total 63 fresh pork samples which was used in the experiment were stored at 4 ℃ in the refrigerator of constant temperature. Experiment was performed everyday for 15 days. 4 or 5 random samples were used each day for the experiment. Hyperspectral scattering images and spectral scattering optical data in the wavelength region of 400 to 1 100 nm were acquired from the surface of all of the pork samples. Lorentz and Gompertz function and the modified function was applied to fit the scattering profiles of pork samples. Different parameters could be obtained by Lorentz and Gompertz fitting and the modified function fitting. The different parameters could represent the optical characteristic of the scattering profiles. The standard values of the bacteria total viable count of pork were obtained by classical microbiological plating methods. Because the standard value of the bacteria total viable count was big, log10 of the bacteria total viable count obtained by classical microbiological plating was used to simplify the calculation. Both individual parameters and integrated parameters were explored to develop the models. The multi-linear regression statistical approach was used to establish the models for predicting pork the bacteria total viable count. Both Lorentz and Gompertz function and the modified function included three and four parameters formula. The results showed that correlation coefficient of the models is higher with Lorentz three parameters combination, Lorentz four parameters combination and Gompertz four parameters combination than the individual parameters and other two or three integrated parameters. The three models’ correction set and prediction set correlation coefficients were 0.93, 0.96, 0.96 and 0.90, 0.90, 0.92, and the corresponding standard deviation were 0.47, 0.44, 0.39 and 0.56, 0.46, 0.42. Correlation was best with Gompertz four parameters. The device system will select the best correlation and the best stability of the model as the final model.

Key words：Fresh Pork;Hyperspectral image;Bacteria total viable counts;Lorentz fitting;Gompertz fitting

收稿日期: 2013-06-13 修订日期: 2013-09-20

中图分类号:

S123

通讯作者: 彭彦昆 E-mail: ypeng@cau.edu.cn

引用本文:

宋育霖，彭彦昆^*，郭辉，张雷蕾，赵娟 . 光学扩散特征的生鲜肉细菌总数的无损检测方法 [J]. 光谱学与光谱分析, 2014, 34(03): 741-745.
SONG Yu-lin, PENG Yan-kun^*, GUO Hui, ZHANG Lei-lei, ZHAO Juan . A Method for Assessing the Total Viable Count of Fresh Meat Based on Hyperspectral Scattering Technique . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(03): 741-745.

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