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Identification of meat-associated pathogens via Raman microspectroscopy

机译：通过拉曼光谱法鉴定与肉相关的病原体

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摘要

The development of fast and reliable sensing techniques to detect food-borne microorganisms is a permanent concern in food industry and health care. For this reason, Raman microspectroscopy was applied to rapidly detect pathogens in meat, which could be a promising supplement to currently established methods. In this context, a spectral database of 19 species of the most important harmful and non-pathogenic bacteria associated with meat and poultry was established. To create a meat-like environment the mi-crobial species were prepared on three different agar types. The whole amount of Raman data was taken as a basis to build up a three level classification model by means of support vector machines. Subsequent to a first classifier that differentiates between Raman spectra of Gram-positive and Gram-negative bacteria, two decision knots regarding bacterial genus and species follow. The different steps of the classification model achieved accuracies in the range of 90.6%-99.5%. This database was then challenged with independently prepared test samples. By doing so, beef and poultry samples were spiked with different pathogens associated with food-borne diseases and then identified. The test samples were correctly assigned to their genus and for the most part down to the species-level i.e. a differentiation from closely-related non-pathogenic members was achieved.
机译：快速可靠的传感技术以检测食源性微生物是食品工业和医疗保健领域的永久关注。由于这个原因，拉曼光谱技术被用于快速检测肉中的病原体，这可能是对当前建立的方法的有希望的补充。在这种情况下，建立了与肉类和家禽有关的19种最重要的有害和非致病细菌的光谱数据库。为了创建类似肉类的环境，在三种不同的琼脂上制备了微杂种。以全部拉曼数据为基础，通过支持向量机建立三级分类模型。在对革兰氏阳性细菌和革兰氏阴性细菌的拉曼光谱进行区分的第一个分类器之后，出现了两个有关细菌属和物种的决策结。分类模型的不同步骤获得的准确度在90.6％-99.5％的范围内。然后用独立准备的测试样品挑战该数据库。通过这样做，牛肉和家禽样品中掺入了与食源性疾病相关的不同病原体，然后进行鉴定。将测试样品正确地分配给它们的属，并且在很大程度上降低到物种水平，即，实现了与密切相关的非致病性成员的区分。

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  • 来源
    《Food microbiology》 |2014年第4期|36-43|共8页
  • 作者

    Susann Meisel; Stephan Stoeckel; Petra Roesch; Juergen Popp;

  • 作者单位

    Institute of Physical Chemistry and Abbe Center of Photonics, University of Jena, Helmholtzweg 4, D-07743 Jena, Germany;

    Institute of Physical Chemistry and Abbe Center of Photonics, University of Jena, Helmholtzweg 4, D-07743 Jena, Germany;

    Institute of Physical Chemistry and Abbe Center of Photonics, University of Jena, Helmholtzweg 4, D-07743 Jena, Germany;

    Institute of Physical Chemistry and Abbe Center of Photonics, University of Jena, Helmholtzweg 4, D-07743 Jena, Germany,Institute of Photonic Technology, Albert-Einstein-Strasse 9, D-07745 Jena, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Food-borne pathogens; Raman microspectroscopy; Support vector machine; Three level classification model; Minced beef; Chicken breast;

    机译：食源性病原体;拉曼光谱支持向量机;三级分类模型;碎牛肉;鸡胸肉;

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