Towards harmonised criteria in quality assurance and quality control of suspect and non-target LC-HRMS analytical workflows for screening of emerging contaminants in human biomonitoring
Autor
Caballero-Casero, Noelia
Belova, Lidia
Vervliet, Philippe
Antignac, Jean-Philippe
Castaño, Argelia
Debrauwer, Laurent
Esteban López, Marta
Huber, Carolin
Klanova, Jana
Krauss, Martin
Lommen, Arjen
Mol, Hans G.J.
Oberacher, Herbert
Pardo, Olga
Price, Elliott J.
Reinstadler, Vera
Vitale, Chiara Maria
Van Nuijs, Alexander L.N.
Covaci, A.
Editor
ElsevierFecha
2021Materia
Quality control-quality assurance measuresFramework for analytical performance
Emerging compounds
Human matrices
Suspect and non-target screening
HBM4EU
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Although the exposure assessment of chemicals of emerging concern (CECs) has taken a decisive step
forward through advances in (bio)informatics, statistics, and the development of highly sophisticated
analytical instruments, the lack of standardisation and harmonisation of analytical workflows and
method performance assessment for suspect and non-target screening hampers the interpretation of
results, their comparability and thus, its transmission to policymakers. To date, unlike in other research
fields such as forensics or food analysis, there is a lack of guidelines for non-target analysis in human risk
assessment and quality assurance and quality control (QA/QC) protocols. Moreover, the majority of efforts
have been focused on the development and implementation of QA/QC actions for data acquisition,
data analysis and mining, largely neglecting the sample preparation necessary for determination of CECs
by suspect and non-target screening methods.
In this article, we propose a set of QA/QC measures that covers sampling, sample preparation and data
acquisition, as an aspect of work conducted within the European Biomonitoring for Europe initiative
(HBM4EU). These measures include the use of standardised terminology and the implementation of
dedicated QA/QC actions in each stage of the analytical process. Moreover, a framework for the analytical
performance assessment has been developed for the first time for the identification of CECs in human
samples by suspect and non-target approaches. Adoption of the actions proposed here for the identification
of CECs in human matrices can significantly improve the comparability of reported results and
contribute to the (challenging) Exposome research field.