UL7G53AY
type: UserItem
resource: Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis
access date: 2021-08-24 21:14:11
repository: www-nature-com.ezproxy.u-pec.fr
rights: 2021 The Author(s)

Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis
type: AcademicArticle
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.
pages: 223
doi: 10.1038/s41597-021-01002-w
language: en
extra: Bandiera_abtest: a Cc_license_type: cc_publicdomain Cg_type: Nature Research Journals Number: 1 Primary_atype: Research Subject_term: Environmental monitoring;Mass spectrometry Subject_term_id: environmental-monitoring;mass-spectrometry
creator: Person
author list: Person
is part of: Issue
  date: 2021-08-24
  volume: 8
  issue: 1
  is part of: Scientific Data
    type: Journal
    publisher: Nature Publishing Group
    short title: Sci Data
    issn: 2052-4463

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