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Line-scan Spatially Offset Raman Spectroscopy for Inspecting Subsurface Food Safety and Quality

机译：线扫描空间偏移拉曼光谱法检查地下食品的安全性和质量

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摘要

This paper presented a method for subsurface food inspection using a newly developed line-scan spatially offset Raman spectroscopy (SORS) technique. A 785 nm laser was used as a Raman excitation source. The line-shape SORS data was collected in a wavenumber range of 0-2815 cm~(-1) using a detection module consisting of an imaging spectrograph and a CCD camera. A layered sample, which was created by placing a plastic sheet cut from the original container on top of cane sugar, was used to test the capability for subsurface food inspection. A whole set of SORS data was acquired in an offset range of 0-36 mm (two sides of the laser) with a spatial interval of 0.07 mm. Raman spectrum from the cane sugar under the plastic sheet was resolved using self-modeling mixture analysis algorithms, demonstrating the potential of the technique for authenticating foods and ingredients through packaging. The line-scan SORS measurement technique provides a new method for subsurface inspection of food safety and quality.
机译：本文提出了一种使用新开发的线扫描空间偏移拉曼光谱（SORS）技术进行地下食品检查的方法。 785 nm激光器用作拉曼激发源。使用由成像光谱仪和CCD相机组成的检测模块，在0-2815 cm〜（-1）的波数范围内收集线形SORS数据。通过将从原始容器上切下的塑料片放在蔗糖上而制成的分层样品用于测试地下食品检查的能力。在0-36毫米（激光的两侧）的偏移范围内以0.07毫米的空间间隔获取了一套完整的SORS数据。使用自建模混合物分析算法解析了塑料片下蔗糖的拉曼光谱，证明了通过包装鉴定食品和成分的技术的潜力。线扫描SORS测量技术为食品安全性和质量的地下检验提供了一种新方法。

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  • 来源
    《》|2016年|98640C.1-98640C.6|共6页
  • 会议地点 Baltimore MD(US)
  • 作者

    Jianwei Qin; Kuanglin Chao; Moon S. Kim;

  • 作者单位

    USDA-ARS Environmental Microbial and Food Safety Laboratory, Bldg. 303, BARC-East, 10300 Baltimore Ave., Beltsville, MD, USA 20705-2350;

    USDA-ARS Environmental Microbial and Food Safety Laboratory, Bldg. 303, BARC-East, 10300 Baltimore Ave., Beltsville, MD, USA 20705-2350;

    USDA-ARS Environmental Microbial and Food Safety Laboratory, Bldg. 303, BARC-East, 10300 Baltimore Ave., Beltsville, MD, USA 20705-2350;

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

    Raman spectroscopy; Lasers; Subsurface detection; Food quality; Food safety; Mixture analysis;

    机译：拉曼光谱激光；地下探测；食物品质;食品安全;混合物分析;

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