Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F21%3A43902742" target="_blank" >RIV/60076658:12520/21:43902742 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14310/21:00124068
Result on the web
<a href="https://doi.org/10.1038/s41597-021-01002-w" target="_blank" >https://doi.org/10.1038/s41597-021-01002-w</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-021-01002-w" target="_blank" >10.1038/s41597-021-01002-w</a>
Alternative languages
Result language
angličtina
Original language name
Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific Data
ISSN
2052-4463
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
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UT code for WoS article
000688000300001
EID of the result in the Scopus database
2-s2.0-85113330459