Untargeted food chemical safety assessment: A proof-of-concept on two analytical platforms and contamination scenarios of tea (Green tea study)
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ABSTRACT: 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 μg/kg); the second scenario, more complex, aimed at simulate the presence of several different contaminations at levels close to regulatory limits (10 μg/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-HRMS technologies was made possible thanks to a vendor-neutral data treatment process.
Sub-samples of green tea (Bancha type, gross, Japan) were spiked at different levels with a pool of 11 contaminants and then extracted with a generic method and analyzed by LC-HRMS (in both positive and negative ionization modes) on two platforms (respectively Orbitrap and ToF to generate a total of four data sets.
Green tea spiked with contaminants is reported in the current study MTBLS771.
Black tea spiked with contaminants is reported in MTBLS772.
Linked Studies: MTBLS772
INSTRUMENT(S): Liquid Chromatography MS - Negative (LC-MS (Negative)), Liquid Chromatography MS - Positive (LC-MS (Positive))
SUBMITTER: Mathieu Cladiere
PROVIDER: MTBLS771 | MetaboLights | 2019-02-12
REPOSITORIES: MetaboLights
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