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DOE OSTI · 1903304

Large-Scale Interlaboratory DI-FT-ICR MS Comparability Study Employing Various Systems

Abstract

We report ultra-high resolution mass spectrometry (UHR-MS) coupled with direct infusion (DI) electrospray ionization offers a fast solution for accurate untargeted profiling. Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometers have been shown to produce a wealth of insights into complex chemical systems because they enable unambiguous molecular formula assignment even if the vast majority of signals is of unknown identity. Inter-laboratory comparisons are required to apply this type of instrumentation in quality control (for food industry or pharmaceutics), large-scale environmental studies or clinical diagnostics. Extended comparisons employing different FT-ICR MS instruments with qualitative direct infusion analysis are scarce since the majority of detected compounds cannot be quantified. The extent to which observations can be reproduced by different laboratories remains unknown. We set up a preliminary study which encompassed a set of seventeen laboratories around the globe, diverse in instrumental characteristics and applications, to analyze the same sets of extracts from commercially available standard human blood plasma and Standard Reference Material (SRM) for blood plasma (SRM1950), which were delivered at different dilutions or spiked with different concentrations of pesticides. The aim of this study was to assess the extent to which the outputs of differently tuned FTICR mass spectrometers, with different technical specifications, are comparable for setting the frames of a future DI-FT-ICR MS ring trial. We concluded that a cluster of five laboratories, with diverse instrumental characteristics showed comparable and representative performance across all experiments, setting a reference to be used in a future ring trial on blood plasma.

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BibTeXRIS

Forcisi, Sara, Moritz, Franco, Thompson, Christopher J., Kanawati, Basem, Uhl, Jenny, Afonso, Carlos, Bader, Chantal D., Barsch, Aiko, Boughton, Berin A., Chu, Rosalie K., Ferey, Justine, Fernandez-Lima, Francisco, Guéguen, Céline, Heintz, Dimitri, Gomez-Hernandez, Mario, Jang, Kyoung-Soon, Kessler, Nikolas, Mangal, Vaughn, Müller, Rolf, Nakabayashi, Ryo, Nicol, Edith, Nicolardi, Simone, Palmblad, Magnus, Paša-Tolić, Ljiljana, Porter, Jacob, Schmitz-Afonso, Isabelle, Seo, Jong Bok, Sommella, Eduardo, van der Burgt, Yuri M., Villette, Claire, Witt, Matthias, Wittrig, Ashley, Wolff, Jeremy J., Easterling, Michael L., Laukien, Frank H., Schmitt-Kopplin, Philippe. 2022-11-13. Large-Scale Interlaboratory DI-FT-ICR MS Comparability Study Employing Various Systems. https://doi.org/10.1021/jasms.2c00082

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