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Record W3037076958 · doi:10.1088/0026-1394/57/1a/08013

Final report of the CCQM-K145: toxic and essential elements in bovine liver

2020· article· en· W3037076958 on OpenAlex
Jun Wang, Jingbo Chao, Chao Wei, Haifeng Li, Qian Wang, Panshu Song, Haiming Lu, Yuanjing Zhou, Yichuan Tang, Song Wang, Lu Yang, Kenny Nadeau, Indu Gedara Pihillagawa, Monique E. Johnson, Lee L. Yu, Teemu Näykki, Timo Sara-Aho, Ramiro Pérez Zambra, Romina Napoli, Olaf Rienitz, Janine Noordmann, Carola Pape, Jessica Towara, Cheung Tsz-chun, Hei-shing Chu, Aleksei Stakheev, V. I. Dobrovolskiy, Tatiana Stolboushkina, Anastasia Glinkova, Sutthinun Taebunpakul, Usana Thiengmanee, Nattikarn Kaewkhomdee, Christian Uribe, Elmer Carrasco, Angelique Botha, Paola Fisicaro, Caroline Oster, Diego A. Ahumada, Johanna P Abella, Stephanie Segura C, R.Y.C. Shin, Sim Lay Peng Deborah, Fransiska Dewi, Benny Tong Meng Kiat, Wesley Zongrong Yu, Leung Ho Wah, Conny Haraldsson, Jeffrey Merrick, Luminita Antin, Ian White, Heidi Goenaga‐Infante, Sarah Hill, John Entwisle, Radojko Jačimović, Tea Zuliani, Vesna Fajon, Yong‐Hyeon Yim, Sung Woo Heo, Kyoung‐Seok Lee, Jong‐Wha Lee, Youngran Lim, Tom Oduor Okumu, Martin Ndege, Lydia Wangui, Süleyman Z. Can, F Gonca Coskun, Murat Tunç, Panagiota Giannikopoulou, Elias Kakoulides, Kazumi Inagaki, Shin‐ichi Miyashita, Hanen Klich, Raouf Jebali, Najet Chaaban, Luigi Bergamaschi, E. P. Sobina, Т. Н. Табатчикова, P. V. Migal

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMetrologia · 2020
Typearticle
Languageen
FieldChemistry
TopicAnalytical chemistry methods development
Canadian institutionsNational Research Council Canada
FundersIstituto Nazionale di Ricerca MetrologicaTürkiye Bilimsel ve Teknolojik Araştırma Kurumu
KeywordsMutual recognitionTraceabilityReference valuesChemistryEnvironmental scienceEnvironmental chemistryMathematicsMedicineStatisticsBusinessInternal medicine

Abstract

fetched live from OpenAlex

Liver plays a major role in metabolism and acts as a source of energy for the body by storing glycogen. With the growing interest and investigation in the biological effects in recent years, it is important and necessary to develop accurate and comparable analytical methods for elements in bio-samples. It has, however, been 10 years since the tissue sample (bovine liver) of CCQM-K49 key comparison. The purpose of CCQM-K145 is to ensure the comparable and traceable measurement results for essential and toxic elements such as P, S, Zn, Mn, Ni, Mo, Sr, Cr, Co, Pb, As and Hg in bovine liver among NMIs and other designated measurement bodies worldwide. The comparison was agreed by IAWG as 6th IAWG Benchmarking Exercise with Zn and Ni as exemplary elements at the meeting in Korea in the early October 2016. The results of CCQM-K145 are expected to cover the measurement capability and support CMCs claiming for inorganic elements in the similar biological tissue materials and food samples. 30 NMIs and DIs registered in CCQM-K145. With respect to the methodology, a variety of techniques such as IDMS, ICP-OES, ICP-MS(non-ID), AAS and NAA were adopted by the participants. For Zn, Ni, Sr, Pb and Hg measurements, most participants chose ID-ICP-MS method, which showed the better performance in terms of consistency and reliability of the measurement results. In aspect of the traceability for the measurement results in CCQM-K145, most participants used their own (in house) CRMs or other NMI's CRMs to guarantee trace to SI unit. Most participants used similar matrix CRMs for quality control or method validation. Base on different statistic way to calculate the reference mass fraction values and associated uncertainties for each measurand, removal of the suspected extreme values, and discussion at the IAWG meetings, the median values are proposed as the KCRV for Zn, Ni, Mn, Mo, Cr, Pb and Hg; the arithmetic mean values are proposed as the KCRV for P, S, Sr, Co and As. In general, the performances of the majority of CCQM-K145 participants are very good, illustrating their measurement capabilities for Zn, Ni, P, S, Mn, Mo, Sr, Cr, As, Co, Pb and Hg in a complex biological tissue matrix. Bovine liver contains many kinds of nutrients and microelements, it can be regarded as a typical representative material of biological tissue and food. In CCQM-K145, the analytes involved alkali metals and transition elements, metalloids / semi-metals and non metals with a range of mass fraction from mg/g to μg/kg. CCQM-K145 also tested the ability of NMIs/DIs to determine elements that were easy to be lost and polluted, and interfered significantly. The chemical pretreatment methods of samples used in the comparison is suitable for general food and biological matrix samples. A variety of measurement methods used in the comparison represent the main instrumental technology for elemental analysis. Therefore, for supporting CMC claim, CCQM-K145 is readily applicable to measurement of more elements in a wide range of biological materials (including liquids and solids) and meat products. 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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.288
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it