Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/00216224:14310/21:00124068
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10406 - Analytical chemistry
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Scientific Data
ISSN
2052-4463
e-ISSN
—
Svazek periodika
8
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
10
Strana od-do
—
Kód UT WoS článku
000688000300001
EID výsledku v databázi Scopus
2-s2.0-85113330459