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Development of VIS/NIR spectroscopic system for real-time prediction of fresh pork quality

机译：开发用于实时预测鲜猪肉品质的VIS / NIR光谱系统

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摘要

Quality attributes of fresh meat will influence nutritional value and consumers' purchasing power. The aim of the research was to develop a prototype for real-time detection of quality in meat. It consisted of hardware system and software system. A VIS/NIR spectrograph in the range of 350 to 1100 run was used to collect the spectral data. In order to acquire more potential information of the sample, optical fiber multiplexer was used. A conveyable and cylindrical device was designed and fabricated to hold optical fibers from multiplexer. High power halogen tungsten lamp was collected as the light source. The spectral data were obtained with the exposure time of 2.17ms from the surface of the sample by press down the trigger switch on the self-developed system. The system could automatically acquire, process, display and save the data. Moreover the quality could be predicted on-line. A total of 55 fresh pork samples were used to develop prediction model for real time detection. The spectral data were pretreated with standard normalized variant (SNV) and partial least squares regression (PLSR) was used to develop prediction model. The correlation coefficient and root mean square error of the validation set for water content and pH were 0.810, 0.653, and 0.803, 0.098 respectively. The research shows that the real-time non-destructive detection system based on VIS/NIR spectroscopy can be efficient to predict the quality of fresh meat.
机译：新鲜肉的品质属性将影响营养价值和消费者的购买力。该研究的目的是开发一种用于肉类质量实时检测的原型。它由硬件系统和软件系统组成。使用VIS / NIR光谱仪在350至1100运行范围内收集光谱数据。为了获取更多的样品潜在信息，使用了光纤多路复用器。设计并制造了一种可输送的圆柱形设备，用于固定来自多路复用器的光纤。收集大功率卤素钨灯作为光源。按下自显影系统上的触发开关，从样品表面以2.17ms的曝光时间获得光谱数据。该系统可以自动获取，处理，显示和保存数据。而且，可以在线预测质量。总共使用了55个新鲜猪肉样本来开发用于实时检测的预测模型。用标准归一化变体（SNV）预处理光谱数据，并使用偏最小二乘回归（PLSR）建立预测模型。验证集的水含量和pH值的相关系数和均方根误差分别为0.810、0.653和0.803、0.098。研究表明，基于VIS / NIR光谱的实时无损检测系统可以有效地预测鲜肉的质量。

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  • 来源
  • 会议地点 Baltimore MD(US)
  • 作者

    Haiyun Zhang; Yankun Peng; Songwei Zhao; Akira Sasao;

  • 作者单位

    China Agricultural University, National RD Center for Agro-processing Equipment,17 Qinghua E. Rd, Haidian, Beijing 100083, China,Shandong University of Technology, 12 Zhangzhou Rd, Zhangdian, Zibo 255049, China;

    China Agricultural University, National RD Center for Agro-processing Equipment,17 Qinghua E. Rd, Haidian, Beijing 100083, China;

    China Agricultural University, National RD Center for Agro-processing Equipment,17 Qinghua E. Rd, Haidian, Beijing 100083, China;

    Tokyo Univ. of Agriculture Technology, 3-8-1 Harumi-cho, Fuchu-shi, Tokyo 183-8538, Japan;

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

    VIS/NIR spectroscopy; real-time detection; fresh pork; quality detection; system development;

    机译：VIS / NIR光谱；实时检测；新鲜猪肉质量检测；系统开发;

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