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首页> 外文会议>Sensing for Agriculture and Food Quality and Safety IX >A portable nondestructive detection device of quality and nutritional parameters of meat using Vis/NIR spectroscopy
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A portable nondestructive detection device of quality and nutritional parameters of meat using Vis/NIR spectroscopy

机译：便携式肉质和营养参数的无损检测装置，采用可见/近红外光谱

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摘要

The improvement of living standards has urged consumers to pay more attention to the quality and nutrition of meat, so the development of nondestructive detection device for quality and nutritional parameters is commercioganic undoubtedly. In this research, a portable device equipped with visible (Vis) and near-infrared (NIR) spectrometers, tungsten halogen lamp, optical fiber, ring light guide and embedded computer was developed to realize simultaneous and fast detection of color (L*, a*, b*), pH, total volatile basic nitrogen (TVB-N), intramuscular fat (IF), protein and water content in pork. The wavelengths of dual-band spectrometers were 400～1100 ran and 940～1650 nm respectively and the tungsten halogen lamp cooperated with ring light guide to form a ring light source and provide appropriate illumination intensity for sample. Software was self-developed to control the functionality of dual-band spectrometers, set spectrometer parameters, acquire and process Vis/NIR spectroscopy and display the prediction results in real time. In order to obtain a robust and accurate prediction model, fresh longissimus dorsi meat was bought and placed in the refrigerator for 12 days to get pork samples with different freshness degrees. Besides, pork meat from three different parts including longissimus dorsi, haunch and lean meat was collected for the determination of IF, protein and water to make the reference values have a wider distribution range. After acquisition of Vis/NIR spectra, data from 400～1100 nm were pretreated with Savitzky-Golay (S-G) filter and standard normal variables transform (SNVT) and spectrum data from 940～1650 nm were preprocessed with SNVT. The anomalous were eliminated by Monte Carlo method based on model cluster analysis and then partial least square regression (PLSR) models based on single band (400～1100 nm or 940～1650 nm) and dual-band were established and compared. The results showed the optimal models for each parameter were built with correlation coefficients in prediction set of 0.9101, 0.9121, 0.8873, 0.9094, 0.9378, 0.9348, 0.9342 and 0.8882, respectively. It indicated this innovative and practical device can be a promising technology for nondestructive, fast and accurate detection of nutritional parameters in meat.
机译：生活水平的提高促使消费者更加关注肉的品质和营养，因此毫无疑问，商品质量和营养参数的无损检测装置的开发是商业化的。在这项研究中，开发了一种配备可见光（Vis）和近红外（NIR）光谱仪，卤钨灯，光纤，环形光导和嵌入式计算机的便携式设备，以实现同时快速检测颜色（L * *，b *），pH，猪肉中总挥发性碱性氮（TVB-N），肌内脂肪（IF），蛋白质和水含量。双波段光谱仪的波长分别为400〜1100 ran和940〜1650 nm，卤钨灯与环形光导配合形成环形光源，为样品提供适当的照明强度。该软件是自行开发的，用于控制双频光谱仪的功能，设置光谱仪参数，获取和处理Vis / NIR光谱并实时显示预测结果。为了获得鲁棒和准确的预测模型，购买了新鲜的长背肉并将其放在冰箱中放置12天，以获取不同新鲜度的猪肉样品。此外，还从背最长肌，腰肉和瘦肉三个不同部位收集了猪肉，用于测定IF，蛋白质和水，使参考值的分布范围更广。采集Vis / NIR光谱后，用Savitzky-Golay（S-G）滤光片预处理400〜1100 nm的数据，并用标准正态变量变换（SNVT）进行预处理，并用SNVT对940〜1650 nm的光谱数据进行预处理。通过基于模型聚类分析的蒙特卡罗方法消除异常，然后建立并比较基于单波段（400〜1100 nm或940〜1650 nm）和双波段的偏最小二乘回归（PLSR）模型。结果表明，使用相关系数分别建立了预测参数分别为0.9101、0.9121、0.8873、0.9094、0.9378、0.9348、0.9342和0.8882的每个参数的最佳模型。它表明，这种创新实用的设备可以成为无损，快速和准确检测肉类营养参数的有前途的技术。

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  • 来源
  • 会议地点 Anaheim(US)
  • 作者

    Wenxiu Wang; Yankun Peng; Fan Wang; Hongwei Sun;

  • 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;

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

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

    Meat; Vis/NIR spectroscopy; quality; nutrition; nondestructive detection;

    机译：肉;可见/近红外光谱；质量;营养;无损检测;

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