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Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis
B. Schulze, D. van Herwerden, I. Allan, L. Bijlsma, N. Etxebarria, M. Hansen, S. Merel, B. Vrana, R. Aalizadeh, B. Bajema, F. Dubocq, G. Coppola, A. Fildier, P. Fialová, E. Frøkjær, R. Grabic, P. Gago-Ferrero, T. Gravert, J. Hollender, N. Huynh,...
Jazyk angličtina Země Velká Británie
Typ dokumentu dataset, časopisecké články, práce podpořená grantem
Grantová podpora
AUFF- T-2017-FLS-7-4
Aarhus Universitets Forskningsfond (Aarhus University Research Foundation)
NLK
Directory of Open Access Journals
od 2014
Free Medical Journals
od 2014
Nature Open Access
od 2014-12-01
PubMed Central
od 2014
Europe PubMed Central
od 2014
ProQuest Central
od 2014-03-01
Open Access Digital Library
od 2014-01-01
Open Access Digital Library
od 2014-01-01
Health & Medicine (ProQuest)
od 2014-03-01
ROAD: Directory of Open Access Scholarly Resources
od 2014
Springer Nature OA/Free Journals
od 2014-12-01
- MeSH
- algoritmy MeSH
- benchmarking * MeSH
- hmotnostní spektrometrie * MeSH
- laboratoře MeSH
- pitná voda analýza MeSH
- průběh práce MeSH
- Publikační typ
- časopisecké články MeSH
- dataset MeSH
- práce podpořená grantem MeSH
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.
Consiglio Nazionale delle Ricerche Istituto di Ricerca Sulle Acque Via De Blasio 5 70132 Bari Italy
Eawag Swiss Federal Institute of Aquatic Science and Technology 8600 Duebendorf Switzerland
Eurolab Srl Via Monsignore Rodolfi 22 IT 36022 Cassola 6 Italy
INRAE UR RiverLy F 69625 Villeurbanne France
Masaryk University Faculty of Science RECETOX Kamenice 753 5 625 00 Brno Czech Republic
National and Kapodistrian University of Athens Athens Greece
Norwegian Institute for Water Research Gaustadalléen 21 0349 Oslo Norway
OSU EFLUVE Univ Paris Est Creteil CNRS F 94010 Creteil France
Univ Paris Est Creteil Ecole des Ponts LEESU F 94010 Creteil France
Citace poskytuje Crossref.org
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