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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

  • 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

  • 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

  • UT code for WoS article

    000688000300001

  • EID of the result in the Scopus database

    2-s2.0-85113330459