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Enregistrement W3047342207 · doi:10.1088/0026-1394/57/1a/08019

Key comparison study—organic solvent calibration solution—gravimetric preparation and value assignment of trans-zearalenone (trans-ZEN) in acetonitrile (ACN)

2020· article· en· W3047342207 sur OpenAlexaff
R D Josephs, Adeline Daireaux, Magali Bedu, Xiuqin Li, Xiaomin Li, Zhen Guo, Tiphaine Choteau, Gustavo Martos, Steven Westwood, Robert Wielgosz, H Li, Melinda Simon, Eliane Cristina Pires do Rego, Bruno Carius Garrido, Rodrigo V. P. Leal, L Carvalho, Éder V. Guimarães, A Bahadoor, Jennifer Bates, Jeremy E. Melanson, Panagiota Giannikopoulou, Charalampos Alexopoulos, Elias Kakoulides, I Mugenya, Désirée Prevoo-Franzsen, Maria Fernandes-Whaley, Sornkrit Marbumrung, Mine Bílsel, Burcu Binici, Taner Gökçen

Notice bibliographique

RevueMetrologia · 2020
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePesticide Residue Analysis and Safety
Établissements canadiensNational Research Council Canada
Organismes subventionnairesnon disponible
Mots-clésMutual recognitionMetrologyCalibrationZearalenoneGravimetric analysisTraceabilityEnvironmental scienceMeasurement uncertaintyProcess engineeringMathematicsStatisticsChemistryEngineeringBusinessMycotoxinFood science

Résumé

récupéré en direct d'OpenAlex

The CCQM-K154.a and subsequent CCQM-K154.a.1 comparisons were coordinated by the the Bureau International des Poids et Mesures (BIPM) and the Chinese National Institute of Metrology (NIM) on behalf of the Organic Analysis Working Group (OAWG) of the Comité Consultatif pour la Quantité de Matière (CCQM) for National Measurement Institutes (NMIs) and Designated Institutes (DIs) which provide measurement services in organic analysis under the 'Comité International des Poids et Mesures' Mutual Recognition Arrangement (CIPM MRA) and/or have participated in the BIPM's Mycotoxin Metrology Capacity Building and Knowledge Transfer (MMCBKT) project as part of its "Metrology for Safe Food and Feed in Developing Economies" Capacity Building Programme. Gravimetrically-prepared solutions having an assigned mass fraction of specified organic analytes are routinely used to calibrate measurement processes for the quantification of the same analytes in matrix samples. Appropriate assignments of the property value and associated uncertainty of calibration solutions thus underpin the traceability of routine analysis and are critical for accurate measurements. Evidence of successful participation in relevant international comparisons is needed to document calibration and measurement capability claims (CMCs) made by national metrology institutes and designated institutes. In total, eleven NMIs/DIs participated in the Track C, Model II, Key Comparison CCQM-K154.a and the Subsequent Comparison CCQM-K154.a.1 [Gravimetric preparation and value assignment of trans-zearalenone (trans-ZEN) in acetonitrile (ACN)] for emerging areas of global interest and innovation. Participants were requested to gravimetrically prepare calibration solutions and value assign the mass fractions, expressed in mg/kg, of trans-zearalenone (trans-ZEN) in the acetonitrile (ACN) solution. Study samples, with assigned values and associated uncertainties were prepared by the comparison participants and sent to the coordinating laboratory for comparison. The Key Comparison Reference Values (KCRVs), calculated form values measured by the coordinating laboratory based on calibrations obtained from independent gravimetrically prepared calibrant solutions, agreed with participants reported values, within their stated uncertainties. trans-ZEN was selected to be representative of non-polar Fusarium mycotoxins. It was anticipated to provide a challenge representative for the gravimetrical preparation and value assignment of calibration solutions in the mass fraction range of 10 mg/kg to 100 mg/kg of mycotoxins with broadly similar structural characteristics. Six participants of the MMCBKT programme were provided with a stock solution having a known trans-ZEN mass fraction and expanded uncertainty to use to gravimetrically prepare and value assign a calibration solution. Four NMIs/DIs also participated using their own calibration solutions. The use of in-house solutions required an additional capacity to undertake a fit-for-purpose purity assessment. NIM was the only NMI participating using both the MMCBKT based and their own in-house assigned solutions in order to connect the two different groups. It was decided to propose separate KCRVs for each of the two ampoules provided by the participating NMIs/DIs based on the trans-ZEN mass fraction. This allowed participants to demonstrate the efficacy of their implementation of the approaches used to gravimetrically prepare calibration solutions and to assess the trans-ZEN mass fraction. The majority of the trans-ZEN mass fraction KCRVs (wKCRV) for CCQM-K154.a and CCQM-K154.a.1 spanned a mass fraction range of 12.18 mg/kg to 15.29 mg/kg. Solely the solutions of NRC exhibited higher trans-ZEN mass fraction KCRVs of 66.68 mg/kg and 66.90 mg/kg. The relative expanded uncertainties U(wKCRV) ranged from 0.90 % to 4.54 %. Inspection of the degree of equivalence plots for the trans-ZEN mass fraction assignments in CCQM-K154.a indicated that there was an excellent agreement of results in general. The CCQM-K154.a.1 subsequent comparison was organized for INTI to repeat measurements with new ampoules. The trans-ZEN mass fraction assignments of INTI within CCQM K154.a.1 were in agreement with the KCRVs. Main text To reach the main text of this paper, click on Final Report . Note that this text is that which appears in Appendix B of the BIPM key comparison database kcdb.bipm.org/ . The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,016

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,033
Tête enseignante GPT0,260
Écart entre enseignants0,228 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreMéthodes

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2020
Routes d'admission1
Résumé présentoui

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