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首页> 外文会议>Sensing for Agriculture and Food Quality and Safety IX >Nondestructive detection of total viable count changes of chilled pork in high oxygen storage condition based on hyperspectral technology
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Nondestructive detection of total viable count changes of chilled pork in high oxygen storage condition based on hyperspectral technology

机译：基于高光谱技术的无氧储藏条件下冷藏猪肉总生存量变化的无损检测

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摘要

The plate count method is commonly used to detect the total viable count (TVC) of bacteria in pork, which is time-consuming and destructive. It has also been used to study the changes of the TVC in pork under different storage conditions. In recent years, many scholars have explored the non-destructive methods on detecting TVC by using visible near infrared (VIS/NIR) technology and hyperspectral technology. The TVC in chilled pork was monitored under high oxygen condition in this study by using hyperspectral technology in order to evaluate the changes of total bacterial count during storage, and then evaluate advantages and disadvantages of the storage condition. The VIS/NIR hyperspectral images of samples stored in high oxygen condition was acquired by a hyperspectral system in range of 400～1100nm. The actual reference value of total bacteria was measured by standard plate count method, and the results were obtained in 48 hours. The reflection spectra of the samples are extracted and used for the establishment of prediction model for TVC. The spectral preprocessing methods of standard normal variate transformation (SNV), multiple scatter correction (MSC) and derivation was conducted to the original reflectance spectra of samples. Partial least squares regression (PLSR) of TVC was performed and optimized to be the prediction model. The results show that the near infrared hyperspectral technology based on 400-1100nm combined with PLSR model can describe the growth pattern of the total bacteria count of the chilled pork under the condition of high oxygen very vividly and rapidly. The results obtained in this study demonstrate that the nondestructive method of TVC based on NIR hyperspectral has great potential in monitoring of edible safety in processing and storage of meat.
机译：平板计数法通常用于检测猪肉中细菌的总存活数（TVC），这既耗时又具有破坏性。它也被用于研究猪肉在不同储存条件下TVC的变化。近年来，许多学者探索了使用可见光近红外（VIS / NIR）技术和高光谱技术检测TVC的无损方法。本研究采用高光谱技术在高氧条件下对冰鲜猪肉中的TVC进行了监测，以评估储存过程中细菌总数的变化，然后评估储存条件的优缺点。通过高光谱系统在400〜1100nm范围内采集高氧条件下样品的VIS / NIR高光谱图像。通过标准平板计数法测量总细菌的实际参考值，并在48小时内获得结果。提取样品的反射光谱并将其用于TVC的预测模型的建立。对样品的原始反射光谱进行了标准正态变量变换（SNV），多重散射校正（MSC）和推导的光谱预处理方法。进行TVC的偏最小二乘回归（PLSR），并将其优化为预测模型。结果表明，基于400-1100nm的近红外高光谱技术结合PLSR模型，可以非常生动，快速地描述高氧条件下冷藏猪肉总细菌数的生长规律。这项研究获得的结果表明，基于近红外光谱的TVC的无损检测方法在监测肉类加工和储存中的食用安全性方面具有巨大的潜力。

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  • 会议地点 Anaheim(US)
  • 作者

    Xiaochun Zheng; Yankun Peng; Yongyu Li; Kuanglin Chao; Jianwei Qin;

  • 作者单位

    College of Engineering, National RD Center for Agro-processing Equipment, China Agricultural University, 17 Qinghua East Road, Haidian, Beijing 100083, China;

    College of Engineering, National RD Center for Agro-processing Equipment, China Agricultural University, 17 Qinghua East Road, Haidian, Beijing 100083, China;

    College of Engineering, National RD Center for Agro-processing Equipment, China Agricultural University, 17 Qinghua East Road, Haidian, Beijing 100083, China;

    Environmental Microbial and Food Safety Laboratory, USDA-ARS, 10300 Baltimore Ave., Beltsville, MD 20705, United States;

    Environmental Microbial and Food Safety Laboratory, USDA-ARS, 10300 Baltimore Ave., Beltsville, MD 20705, United States;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    pork; hyperspectral; high oxygen condition; total viable count; near infrared spectroscopy;

    机译：猪肉;高光谱高氧条件总可行数量；近红外光谱;

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