New approaches for interlaboratory comparisons analysis using dark uncertainty applied to radioactive materials.

Analysis of variance Certified reference material (CRM) Interlaboratory comparison (ILC) Measurement uncertainty Proficiency test (PT)

Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Dec 2022
Historique:
received: 04 11 2021
revised: 15 03 2022
accepted: 16 03 2022
pubmed: 16 8 2022
medline: 28 9 2022
entrez: 15 8 2022
Statut: ppublish

Résumé

In order to further improve the management of contaminated materials in nuclear facilities subject to a decommissioning programme, as well as during post-accidental site remediation and clearance, the definition and selection of the most appropriate intervention scenarios producing well-characterized radioactive waste for which storage and disposal routes are clearly identified is needed. As a step towards this accomplishment, we propose a methodology for the organization and analysis of coordinated interlaboratory comparisons (ILC) for the performance assessment and the uncertainty evaluation of available measurement techniques (methods and tools) of radioactive materials. This methodology is new for this type of comparison and demonstrated on the BR3 (Belgian Reactor 3, Belgian Nuclear Research Centre, Mol) case study from the H2020 INSIDER project (2017-2021), for which barium 133, cobalt 60 and europium 152 are analysed with gamma spectroscopy in ILC, based either on irradiated concrete from the BR3 bioshield or from spiked concrete certified reference material (CRM). On one hand, we show the advantage of organizing ILC on CRM for a more reliable uncertainty evaluation taking bias into account following ISO 21748:2017. But using CRM may be impossible due to their scarcity or too costly for performance assessment thus limiting the use of CRM in ILC in practice. On the other hand, we show that for performance evaluation and monitoring, ILC can be alternately performed on reference materials provided that laboratories' uncertainties are reported and the most appropriate analysis of data is performed using dark uncertainty (excess variance) in the presence of inconsistent data.

Identifiants

pubmed: 35969985
pii: S0039-9140(22)00190-4
doi: 10.1016/j.talanta.2022.123394
pii:
doi:

Substances chimiques

Radioactive Waste 0
Barium 24GP945V5T
Cobalt 3G0H8C9362
Europium 444W947O8O

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123394

Informations de copyright

Copyright © 2022. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Marielle Crozet (M)

CEA, DES, ISEC, DMRC, Univ Montpellier, Marcoule, France. Electronic address: marielle.crozet@ea.fr.

Cédric Rivier (C)

CEA, DES, ISEC, DMRC, Univ Montpellier, Marcoule, France.

Valérie Lourenço (V)

Université Paris-Saclay, CEA, List, Laboratoire National Henri Becquerel (LNE-LNHB), F-91120 Palaiseau, France.

Séverine Demeyer (S)

Laboratoire National de Métrologie et D'essais, Trappes, France.

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