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Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis

Bastian Schulze Denice van Herwerden Ian Allan Lubertus Bijlsma Nestor Etxebarria Martin Hansen Sylvain Merel 1 Branislav Vrana Reza Aalizadeh Bernard Bajema Florian Dubocq Gianluca Coppola Aurélie Fildier 2 Pavla Fialová Emil Frøkjær Roman Grabic Pablo Gago-Ferrero Thorsten Gravert Juliane Hollender Nina Huynh Griet Jacobs Tim Jonkers Sarit Kaserzon Marja Lamoree Julien Le Roux 3 Teresa Mairinger Christelle Margoum 1 Giuseppe Mascolo Emmanuelle Mebold 4 Frank Menger Cecile Miege 1 Jeroen Meijer R. Moilleron 3 Sapia Murgolo Massimo Peruzzo Martijn Pijnappels Malcolm Reid Claudio Roscioli Coralie Soulier 5 Sara Valsecchi Nikolaos Thomaidis Emmanuelle Vulliet 2 Robert Young Saer Samanipour
1 Riverly - Riverly
2 TRACES - Technologie et Recherche en Analyse Chimique pour l'Environnement et la Santé
ISA - Institut des Sciences Analytiques
3 LEESU - Laboratoire Eau Environnement et Systèmes Urbains
4 EFLUVE (UMS_3563) - Enveloppes fluides : de la ville à l'exobiologie
5 BRGM - Bureau de Recherches Géologiques et Minières (BRGM)
Abstract : Non-target analysis (NTA) employing high-resolution mass spectrometry is a commonly applied approach for the detection of novel chemicals of emerging concern in complex environmental samples. NTA typically results in large and information-rich datasets that require computer aided (ideally automated) strategies for their processing and interpretation. Such strategies do however raise the challenge of reproducibility between and within different processing workflows. An effective strategy to mitigate such problems is the implementation of inter-laboratory studies (ILS) with the aim to evaluate different workflows and agree on harmonized/standardized quality control procedures. Here we present the data generated during such an ILS. This study was organized through the Norman Network and included 21 participants from 11 countries. A set of samples based on the passive sampling of drinking water pre and post treatment was shipped to all the participating laboratories for analysis, using one pre-defined method and one locally (i.e. in-house) developed method. The data generated represents a valuable resource (i.e. benchmark) for future developments of algorithms and workflows for NTA experiments.
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https://hal-enpc.archives-ouvertes.fr/hal-03325586
Contributeur : Julien Le Roux <>
Soumis le : mercredi 25 août 2021 - 09:37:10
Dernière modification le : mercredi 8 septembre 2021 - 17:07:01

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ENPC | UP-SCIENCES | UPEC-UPEM | UPEC | BRGM | PARISTECH | UNIV-LYON1 | INC-CNRS | ISA | CNRS | UDL | INRAE | INSU | INRAE-AQUA | RIVERLY | UNIV-PARIS | ENPC-LEESU

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Bastian Schulze, Denice van Herwerden, Ian Allan, Lubertus Bijlsma, Nestor Etxebarria, et al.. Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis. Scientific Data , Nature Publishing Group, 2021, 8, pp.223. ⟨10.1038/s41597-021-01002-w⟩. ⟨hal-03325586⟩

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