TY - JOUR A1 - Przyklenk, A. A1 - Balsamo, A. A1 - O'Connor, D. A1 - Evans, Alexander A1 - Yandayan, T. A1 - Akgöz, S. A1 - Flys, O. A1 - Zeleny, V. A1 - Czułek, D. A1 - Meli, F. A1 - Ragusa, C. A1 - Bosse, H. T1 - New European Metrology Network for advanced manufacturing JF - Measurement Science and Technology N2 - Advanced manufacturing has been identified as one of the key enabling technologies with applications in multiple industries. The growing importance of advanced manufacturing is reflected by an increased number of publications on this topic in recent years. Advanced manufacturing requires new and enhanced metrology methods to assure the quality of manufacturing processes and the resulting products. However, a high-level coordination of the metrology community is currently absent in this field and consequently this limits the impact of metrology developments on advanced manufacturing. In this article we introduce the new European Metrology Network (EMN) for Advanced Manufacturing within EURAMET, the European Association of National Metrology Institutes (NMIs). The EMN is intended to be operated sustainably by NMIs and Designated Institutes in close cooperation with Stakeholders interested in advanced manufacturing. The objectives of the EMN are to set up a permanent stakeholder dialogue, to develop a Strategic Research Agenda for the metrology input required for advanced manufacturing technologies, to create and maintain a knowledge sharing programme and to implement a web-based service desk for stakeholders. The EMN development is supported by a Joint Network Project within the European Metrology Programme for Innovation and Research. KW - Stakeholder KW - Advanced manufacturing KW - Metrology KW - European Metrology Networks (EMNs) KW - Strategic Research Agenda (SRA), PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-530618 DO - https://doi.org/10.1088/1361-6501/ac0d25 VL - 32 IS - 11 SP - 111001 PB - IOP Publishing AN - OPUS4-53061 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Philipp, Rosemarie A1 - Schantz, M. A1 - Urquiza, M.P. A1 - Calderón, M.A.A. A1 - Torres, M.M. A1 - Carter, D. A1 - O'Connor, G. A1 - Sejeroe-Olsen, B. A1 - Ricci, M. A1 - Lalere, B. A1 - Peignaux, M. A1 - Kim, D.-H. A1 - Itoh, N. A1 - Wong, S.-K. A1 - Man, T.O. A1 - Caixeiro, J.M.R. T1 - CCQM-K50: Polycyclic aromatic hydrocarbons (PAHs) in soil/particulate matter JF - Metrologia PY - 2010 DO - https://doi.org/10.1088/0026-1394/47/1A/08006 SN - 0026-1394 SN - 1681-7575 VL - 47 SP - 08006-1 - 08006-47 PB - Inst. of Physics Publ. CY - Bristol AN - OPUS4-20821 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Hein, Sebastian A1 - Philipp, Rosemarie A1 - Duewer, D.L. A1 - Gasca-Aragon, H. A1 - Lippa, K. A1 - Toman, B. A1 - Bremser, Wolfram A1 - Calderon, M.A.Á. A1 - Castorena, A.P. A1 - Caixeiro, J.M.R. A1 - Do Rego, E.C.P. A1 - Rosso, A. A1 - De Arechavaleta, R. A1 - O'Connor, G. A1 - Holcombe, G. A1 - Ellison, S.L.R. A1 - Splett, J.D. A1 - Schantz, M.M. A1 - Sharpless, K.E. A1 - Croft, M. A1 - Archer, M. A1 - De Vos, J. A1 - Konopelko, L.A. A1 - Kustikov, Y. T1 - Final report on CCQM-K79: Comparison of value-assigned CRMs and PT materials: Ethanol in aqueous matrix JF - Metrologia N2 - The 2010 CCQM-K79 'Comparison of value-assigned CRMs and PT materials: Ethanol in aqueous media' is the second key comparison directly testing the chemical measurement services provided to customers by National Metrology Institutes (NMIs) and Designated Institutes (DIs). CCQM-K79 compared the assigned ethanol values of proficiency test (PT) and certified reference materials (CRMs) using measurements made on these materials under repeatability conditions. Nine NMIs submitted 27 CRM or value-assigned PT materials for evaluation. These materials represent many of the higher-order reference materials then available for this commercially and forensically important measurand. The assigned ethanol mass fraction in the materials ranged from 0.1 mg/kg to 334 mg/kg. All materials were stored and prepared according the specifications provided by each NMI. Samples were processed and analyzed under repeatability conditions by one analytical team using a gas chromatography with flame ionization detection (GC-FID) method of demonstrated trueness and precision. Given the number of materials and the time required for each analysis, the majority of the measurements were made in two measurement campaigns ('runs'). Due to a shipping delay from one NMI, an unanticipated third campaign was required. In all three campaigns, replicate analyses (three injections of one preparation separated in time) were made for one randomly selected unit of each of the 27 materials. Nine of the 27 materials were gravimetrically diluted before measurement to provide solutions with ethanol mass fraction in the established linear range of the GC-FID method. The repeatability measurement value for each analyzed solution was estimated as the mean of all replicate values. The within- and between-campaign variance components were estimated using one-way ANOVA. Markov Chain Monte Carlo Bayesian analysis was used to estimate 95% level-of-confidence coverage intervals for the mean values. Uncertainty-weighted generalized distance regression was used to establish the key comparison reference function (KCRF) relating the assigned values to the repeatability measurements. On the basis of leave-one-out cross-validation, all of the assigned values for all 27 materials were deemed equivalent at the 95% level of confidence. These materials were used to define the KCRF. Parametric bootstrap Monte Carlo was used to estimate 95% level-of-confidence coverage intervals for the degrees of equivalence of materials, d ± U95(d), and of the participating NMIs, D ± U95(D). Because of the very wide range of ethanol mass fraction in the materials, these degrees of equivalence are expressed in percent relative form: %d ± U95(%d) and %D ± U95(%D). The median of the absolute values of the %D for the participating NMIs is less than 0.05% with a median U95(%D) of less than 1%. These results demonstrate that the participating NMIs have the ability to correctly value-assign CRMs and proficiency test materials for ethanol in aqueous media and similar measurands. PY - 2013 DO - https://doi.org/10.1088/0026-1394/50/1A/08005 SN - 0026-1394 SN - 1681-7575 VL - 50 IS - 1A / Technical Suppl. 2013 / 08005 SP - 1 EP - 49 PB - Inst. of Physics Publ. CY - Bristol AN - OPUS4-27730 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Mi, W. A1 - Josephs, R. D. A1 - Melanson, J. E. A1 - Dai, X. A1 - Wang, Y. A1 - Zhai, R. A1 - Chu, Z. A1 - Fang, X. A1 - Thibeault, M.-P. A1 - Stocks, B. B. A1 - Meija, J. A1 - Bedu, M. A1 - Martos, G. A1 - Westwood, S. A1 - Wielgosz, R. I. A1 - Liu, Q. A1 - Teo, T. L. A1 - Liu, H. A1 - Tan, Y. J. A1 - Öztuğ, M. A1 - Saban, E. A1 - Kinumi, T. A1 - Saikusa, K. A1 - Schneider, Rudolf A1 - Weller, Michael G. A1 - Konthur, Zoltán A1 - Jaeger, Carsten A1 - Quaglia, M. A1 - Mussell, C. A1 - Drinkwater, G. A1 - Giangrande, C. A1 - Vaneeckhoutte, H. A1 - Boeuf, A. A1 - Delatour, V. A1 - Lee, J. E. A1 - O'Connor, G. A1 - Ohlendorf, R. A1 - Henrion, A. A1 - Beltrão, P. J. A1 - Naressi Scapin, S. M. A1 - Sade, Y. B. T1 - PAWG Pilot Study on Quantification of SARS-CoV-2 Monoclonal Antibody - Part 1 JF - Metrologia N2 - Under the auspices of the Protein Analysis Working Group (PAWG) of the Comité Consultatif pour la Quantité de Matière (CCQM) a pilot study, CCQM-P216, was coordinated by the Chinese National Institute of Metrology (NIM), National Research Council of Canada (NRC) and the Bureau International des Poids et Mesures (BIPM). Eleven Metrology Institutes or Designated Institutes and the BIPM participated in the first phase of the pilot study (Part 1). The purpose of this pilot study was to develop measurement capabilities for larger proteins using a recombinant humanized IgG monoclonal antibody against Spike glycoprotein of SARS-CoV-2 (Anti-S IgG mAb) in solution. The first phase of the study was designed to employ established methods that had been previously studies by the CCQM Protein Analysis Working Group, involving the digestion of protein down to the peptide or amino acid level. The global coronavirus pandemic has also led to increased focus on antibody quantitation methods. IgG are among the immunoglobulins produced by the immune system to provide protection against SARS-CoV-2. Anti-SARS-CoV-2 IgG can therefore be detected in samples from affected patients. Antibody tests can show whether a person has been exposed to the SARS-CoV-2, and whether or not they potentially show lasting immunity to the disease. With the constant spread of the virus and the high pressure of re-opening economies, antibody testing plays a critical role in the fight against COVID-19 by helping healthcare professionals to identify individuals who have developed an immune response, either via vaccination or exposure to the virus. Many countries have launched large-scale antibody testing for COVID-19. The development of measurement standards for the antibody detection of SARS-CoV-2 is critically important to deal with the challenges of the COVID-19 pandemic. In this study, the SARS-CoV-2 monoclonal antibody is being used as a model system to build capacity in methods that can be used in antibody quantification. Amino acid reference values with corresponding expanded uncertainty of 36.10 ± 1.55 mg/kg, 38.75 ± 1.45 mg/kg, 18.46 ± 0.78 mg/kg, 16.20 ± 0.67 mg/kg and 30.61 ± 1.30 mg/kg have been established for leucine, valine, phenylalanine, isoleucine and proline, respectively. Agreement between nearly all laboratories was achieved for the amino acid analysis within 2 to 2.5 %, with one participant achieving markedly higher results due to a technical issue found in their procedure; this result was thus excluded from the reference value calculations. The relatively good agreement within a laboratory between different amino acids was not dissimilar to previous results for peptides or small proteins, indicating that factors such as hydrolysis conditions and calibration procedures could be the largest sources of variability. Peptide reference values with corresponding expanded uncertainty of 4.99 ± 0.28 mg/kg and 6.83 ± 0.65 mg/kg have been established for ALPAPIEK and GPSVFPLAPSSK, respectively. Not surprisingly due to prior knowledge from previous studies on peptide quantitation, agreement between laboratories for the peptide-based analysis was slightly poorer at 3 to 5 %, with one laboratory's result excluded for the peptide GPSVFPLAPSSK. Again, this level of agreement was not significantly poorer than that achieved in previous studies with smaller or less complex proteins. To reach the main text of this paper, click on Final Report. KW - Antibody quantification KW - Amino acid analysis KW - Peptide analysis KW - Round robin test PY - 2021 DO - https://doi.org/10.1088/0026-1394/59/1a/08001 VL - 59 IS - 1A SP - 08001 AN - OPUS4-54972 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -