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Untargeted food chemical safety assessment: A proof-of-concept on two analytical platforms and contamination scenarios of tea

机译:未确定的食品化学安全评估:两个分析平台和茶叶污染方案的概念

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摘要

This study aims at assessing the capability of comparing and combining different instrumental platforms in an untargeted approach with a view of detecting chemical contaminants in food matrices at low levels. A strategy based on liquid chromatography-high resolution mass spectrometry (LC-HRMS) and chemometrics has been applied on two different complex food contamination scenarios, with tea as study product. The first scenario aimed at mimic the presence of a dozen of contaminants at levels just above regulatory limits (i.e. 10 and 30 mu g/kg); the second scenario, more complex, aimed at simulate the presence of several different contaminations at levels close to regulatory limits (10 mu g/kg) in different samples. This work was carried on two LC-HRMS platforms (with respectively ToF and Orbitrap mass analyzer technologies), and a highly automated data treatment workflow was implemented to deal with data acquired on both platforms. The untargeted approach performed well on all scenarios (even the most complex) and analytical platforms. Performance comparison between LC-HAMS technologies was made possible thanks to a vendor-neutral data treatment process.
机译:本研究旨在评估以未明确的方法进行比较和结合不同的仪器平台的能力,以便在低水平下检测食物基质中的化学污染物。一种基于液相色谱 - 高分辨率质谱(LC-HRMS)和化学计量学的策略已经应用于两种不同的复杂食品污染场景,茶作为研究产品。旨在模拟刚刚在监管限值的水平(即10和30μg/ kg)的水平下存在十几种污染物的情况;第二种情况,更复杂,旨在模拟几种不同污染的水平,靠近不同样品的调节限制(10μg/ kg)。这项工作是在两个LC-HRMS平台上进行的(分别有TOF和orbitrap质量分析仪技术),并实施了高度自动化的数据处理工作流以应对两个平台上获取的数据。未确定的方法在所有场景(即使是最复杂的)和分析平台上进行了良好。由于供应商中性数据处理过程,LC-Hams技术之间的性能比较。

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