Metabolomics,Multiomics

Dataset Information

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


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 black tea (Keemun type, gross, China) were spiked at 10 µg/kg levels with two different spiking mixes: Three sub-samples were spiked with a pool of 11 contaminants (spiking mix n°1); and Three sub-samples were spiked with 3 others contaminants (malathion, OTA, BPS, spiking mix n°2). Samples were 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.

Black tea spiked with contaminants is reported in the current study MTBLS772.
Green tea spiked with contaminants is reported in MTBLS771.

Linked Studies: MTBLS771

OTHER RELATED OMICS DATASETS IN: PXD018322PXD006154

INSTRUMENT(S): Liquid Chromatography MS - Negative (LC-MS (Negative)), Liquid Chromatography MS - Positive (LC-MS (Positive))

SUBMITTER: Mathieu Cladiere 

PROVIDER: MTBLS772 | MetaboLights | 2019-02-12

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS772 Other
FILES Other
a_MTBLS772_NEG_ORB_mass_spectrometry.txt Txt
a_MTBLS772_NEG_TOF_mass_spectrometry.txt Txt
a_MTBLS772_POS_ORB_mass_spectrometry.txt Txt
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