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High resolution mass spectrometry based metabolomics: a new tool to detect and characterize emerging pollutants in water and food matrices.

机译:基于高分辨率质谱的代谢组学:一种检测和特征在水和食物基质中出现污染物的新工具。

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Food trade globalization and extensive use of pesticides and drugs in agriculture and farming has increased the risk of food contamination and fraud. This has become a significant public health problem resulting in strengthened controls from the health authorities. However, the analytical methods used to detect pollutants are limited to targeted approaches towards expected contaminants, which prevent the possibility of finding unexpected or emerging contaminants. High resolution mass spectrometry (HRMS) based metabolomics associated with data mining can address this issue through monitoring of targeted compounds, but also to highlight and identify unexpected compounds. Part of the research described was carried out under the AgriFood GPS project funded by Bpifrance (http://agrifoodgps.sharepoint.com).
机译:食品贸易全球化和广泛使用农药和农业毒品和农业的毒品增加了食物污染和欺诈的风险。这已成为一个重要的公共卫生问题,导致卫生当局加强控制。然而,用于检测污染物的分析方法仅限于朝向预期污染物的靶向方法,这防止了发现意外或新兴污染物的可能性。与数据挖掘相关的高分辨率质谱(HRMS)的代谢组可以通过监测靶向化合物来解决这一问题,也可以突出和识别意外的化合物。描述的一部分研究是由BPIFRANCE资助的Agrifood GPS项目执行的(http://agrifoodgps.sharepoint.com)下进行。

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