Marion Ernest

Mrs. Marion Ernest


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Food Chemistry
Verified
Journal Article
Closed access
TDThierry Delatour
Thierry Delatour
JPJose Fernando Huertas Perez
Jose Fernando Huertas Perez
MDMathieu Dubois
Mathieu Dubois
XTXanthippe Theurillat
Xanthippe Theurillat
ADAurélien Desmarchelier
Aurélien Desmarchelier
RSRichard Stadler
Richard Stadler

25 September 2024 in Foods
Verified
Journal Article
Open access
PDF file
TBThomas Bessaire
Thomas Bessaire
MSMarie-Claude Savoy
Marie-Claude Savoy
MEMarion Ernest
Marion Ernest
NCNicolas Christinat
Nicolas Christinat
FNFlavia Nagy
Flavia Nagy
TDThierry Delatour
Thierry Delatour
The consequences of climate change along with diverse food regulations and agricultural practices worldwide are complexifying the occurrence and management of chemical contaminants in food. In this context, we present an ultra-high-performance liquid chromatography high-resolution mass spectrometry (LC-HRMS) approach for the simultaneous identification and quantitation of over 1100 pesticide residues, mycotoxins, and plant toxins in cereals and fruits and vegetables. Analytical conditions were optimized to maximize the scope of the targeted molecules, the reliability of compound identification, and quantification performance within a single method. The method was further transferred and validated in another laboratory to assess its ruggedness. Validation according to the SANTE 11312/2021v2 guidelines showed that 92% and 98% of the molecules fulfill the quantification criteria at the lowest validated level in the cereals and fruits and vegetables groups, respectively. Analysis of fifteen certified reference materials led to a 96% satisfactory rate of z-scores confirming method’s competitiveness. Furthermore, the occurrence of these contaminants was studied in 205 cereals and grains samples collected worldwide. The low µg/kg quantification limits make this LC-HRMS method a valuable tool to ensure compliance toward regulations and to screen for non-regulated substances for which occurrence data are crucial for an appropriate risk evaluation.