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Raman Spectroscopy and Imaging to Detect Contaminants for Food Safety Applications

机译：拉曼光谱和成像技术可检测食品安全应用中的污染物

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摘要

This study presents the use of Raman chemical imaging for the screening of dry milk powder for the presence of chemical contaminants and Raman spectroscopy for quantitative assessment of chemical contaminants in liquid milk. For image-based screening, melamine was mixed into dry milk at concentrations (w/w) between 0.2% and 10.0%, and images of the mixtures were analyzed by a spectral information divergence algorithm. Ammonium sulfate, dicyandiamide, and urea were each separately mixed into dry milk at concentrations (w/w) between 0.5% and 5.0%, and an algorithm based on self-modeling mixture analysis was applied to these sample images. The contaminants were successfully detected and the spatial distribution of the contaminants within the sample mixtures was visualized using these algorithms. Liquid milk mixtures were prepared with melamine at concentrations between 0.04% and 0.30%, with ammonium sulfate and with urea at concentrations between 0.1% and 10.0%, and with dicyandiamide at concentrations between 0.1% and 4.0%. Analysis of the Raman spectra from the liquid mixtures showed linear relationships between the Raman intensities and the chemical concentrations. Although further studies are necessary, Raman chemical imaging and spectroscopy show promise for use in detecting and evaluating contaminants in food ingredients.
机译：这项研究提出了使用拉曼化学成像技术来筛查奶粉中是否存在化学污染物，并使用拉曼光谱法对液态奶中的化学污染物进行定量评估。对于基于图像的筛选，将三聚氰胺以0.2％至10.0％的浓度（w / w）混合到干奶中，并通过光谱信息发散算法分析混合物的图像。分别将硫酸铵，双氰胺和尿素分别以0.5％至5.0％的浓度混合到干奶中，并将基于自建模混合物分析的算法应用于这些样品图像。使用这些算法可以成功检测出污染物，并在样品混合物中观察污染物的空间分布。制备液体乳混合物，其中三聚氰胺的浓度在0.04％至0.30％之间，硫酸铵和尿素的浓度在0.1％至10.0％之间，双氰胺的浓度在0.1％至4.0％之间。对液体混合物中拉曼光谱的分析表明，拉曼强度与化学浓度之间存在线性关系。尽管有必要进行进一步的研究，但拉曼化学成像和光谱学显示出有望用于检测和评估食品成分中的污染物。

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

    Kuanglin Chao; Jianwei Qin; Moon S. Kim; Yankun Peng; Diane Chan; Yu-Che Cheng;

  • 作者单位

    Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, 10300 Baltimore Avenue, Bldg 303 BARC-East, Beltsville, MD, USA 20705;

    Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, 10300 Baltimore Avenue, Bldg 303 BARC-East, Beltsville, MD, USA 20705;

    Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, 10300 Baltimore Avenue, Bldg 303 BARC-East, Beltsville, MD, USA 20705;

    College of Engineering, China Agricultural University, No. 17 Qinghua East Road, Haidian, Beijing 100083, China;

    Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, 10300 Baltimore Avenue, Bldg 303 BARC-East, Beltsville, MD, USA 20705;

    Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617 Taiwan;

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

    Contaminant detection; Food ingredients; Raman chemical imaging; Raman spectroscopy;

    机译：污染物检测；食品添加剂;拉曼化学成像；拉曼光谱;

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