COMMUNICATIONS |
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Invited Lectures |
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IL–1 |
Eurachem – how it began |
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Williams, A. |
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IL–2 |
What Eurachem has achieved |
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Walsh, M. |
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IL–3 |
The measurement cycle |
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Wegscheider, W. |
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IL–4 |
Setting the measurement requirement |
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Silva, R.B. |
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IL–5 |
Method validation and verification |
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Sibbesen, L. |
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IL–6 |
Recovery/bias evaluation |
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Leito, I. |
[PDF, 0.6 Mb]; URL |
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IL–7 |
Proficiency Testing (PT)–a tool to improve laboratory performance |
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Brookman, B. |
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IL–8 |
Traceability in chemical analysis – Are we ready to deliver? |
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Emons, H. |
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IL–9 |
Uncertainty evaluation for analysis and sampling |
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Ellison, S. |
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IL–10 |
Reporting the result and assessment for compliance |
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Magnusson, B. |
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IL–11 |
QA/QC to underpin the measurement cycle |
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Bianco, P. |
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IL–12 |
Key skills for the analytical scientist: Assessing competence in the laboratory |
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Barwick, V. |
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IL–13 |
Where next |
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Camões, M.F. |
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Oral Communications |
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OC–1 |
JRC contribution to the fitness for purpose of analytical methods for food and feed matrices |
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Cordeiro, F.; Fiamegkos, I.; Robouch, P.; Calle, B. |
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OC–2 |
Assessment of the determination of total sulphur in fertilizers by ICP-OES |
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Nunes, M.J.; M. João Moura |
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OC–3 |
Use of interlaboratory study to better define the characteristics of dispersion of results in natural gas analysis |
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Vatin, A.; Vial, J.; Leininger, J.P.; Jardy, A. – Presented by Basset, E. |
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OC–4 |
Assessing a new approach (triple A-classification) to evaluate performance-underperformance of laboratories participating in the EU proficiency tests for multi-residue analysis of pesticides in fruits and vegetables |
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Valverde, A.; Fernández-Alba, A.; Aguilera, A.; Mezcua, M. |
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OC–5 |
Specifications and traceability in the pharmaceutical industry |
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Nielsen, E.; Byrialsen, K.; Jespersen, A.; Adamczewski, L. |
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OC–6 |
Estimation of measurement uncertainty in the fluorometric determination of ammoniacal nitrogen in sea water by continuous flow analysis (CFA) |
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Claramunt, I.; Perez, L. |
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OC–7 |
NMIJ analytical skill-upgrade training program |
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Chiba, K.; Inagaki, K.; Huroiwa, T. |
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OC–8 |
Quality assurance of chemical analysis: classification, modeling and quantification of human errors |
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Kuselman, I. |
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OC–9 |
Courses of study and interest-based subjects |
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Camões, M.F. |
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OC–10 |
Training needs to understand quality assurance |
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Tsimillis, K. |
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Posters |
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P–1 |
Accuracy in niacin quantification in food matrices, by an RP-HPLC method |
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Flores, C.; Dias, M.G.; Santos, M. |
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P–2 |
Method validation of heavy metals such as arsenic, lead and cadmium in meat and meat products by inductively coupled plasma-mass spectrometry |
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Abbasova, T.; Kamalova, S.; Hamidullazade, A.; Hassanova, S. |
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P–3 |
Uncertainty sources at the determination of limit of detection and limit of quantification in gas chromatography and comprehensive two dimensional gas chromatography |
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Májek, P.; Krupčík, J. |
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P–4 |
Validation of copper and mercury in marine sediments |
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Palma, C.; Valença, M.; Gama, A.; Santos, P. |
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P–5 |
Comparison of pressurized liquid extraction and soxhlet extraction for the determination of organic pollutants in marine sediments |
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Santos, P.; Gama, A.; Valença, M.; Palma, C. |
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P–6 |
Establishment of a model to estimate the uncertainties associated to the measurement of atmospheric pollutants in a crude refinery |
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Dias, F.; Matos, M. |
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P–7 |
Performance of the method EN 12396-1 – with the introduction of minor modifications – versus the criteria of SANCO 12571/2013 for quantitative determinations |
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Luz, S.; Santos, T., Silva, R.B. |
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P–8 |
Validation of nickel quantitative analysis using ICP-OES with an ultrasonic nebulizer |
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Ferreira, S.; Duarte, C.; Ribeiro, S.; Sousa, I.; Coelho, M.R. |
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P–9 |
Environmentally friendly matrix effect matching evaluation for the major elements in solid biofuel characterization by atomic absorption spectrometry |
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Trancoso, M.; Lopes, H.; Teixeira, P.; Calisto, S. |
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P–10 |
Monitoring laboratory performance over time from proficiency testing by interlaboratory comparisons |
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Trancoso, M.; Sousa, A.; Calisto, S. |
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P–11 |
European proficiency tests for fruit and vegetables from 1996 to 2013 – History and main achievements |
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Uclés, S.; Belmonte, N.; Ferrer, C.; Gómez-Ramos, M.; Herrera, S.; Lozano, A.; Malato, O.; Medina, P.; Mezcua, M.; Rajski, Ł.; Uclés, A.; Fernández-Alba, A. |
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P–12 |
Achieving lower z-scores: evaluation of z-score results along the uncertainty range of a sample |
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Jesuino, B.; Freitas, A. |
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P–13 |
Estimation of the minimal preanalytical uncertainty |
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Sylte, M.; Wentzel-Larsen, T.; Bolann, B. |
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P–14 |
COMAR – the international database for certified reference materials |
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Steiger, T.; Pradel R. |
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P–15 |
Quantification of FAMEs in biodiesel: flame ionization detection vs. isotope dilution mass spectrometry |
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Morales, V.; Buchgraber, M.; Held, A. |
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P – 16 |
Implementing VIM3 calibration in some analytical chemistry laboratories |
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Pellegrino, O.; Furtado, A.; Oliveira, C.S.; Filipe, E. |
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P – 17 |
Uncertainty from sample preparation in laboratory on the example of various feeds |
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Korol, W.; Bielecka, G.; Rubaj, J.; Walczyński, S. |
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P – 18 |
The prospect of the TILSAM method regarding customer needs and benefits in view of existing gas CMCs |
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Werhahn, O.; Nwaboh, J.; Pogány, A.; Koelliker-Delgado, J.; Schiel, D.; Ebert, V. |
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P – 19 |
Variability of uncertainty associated to heavy metals determination in urban soils |
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Silva, H.; Silva, N.; Oliveira, C.; Matos, M. |
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P – 20 |
Measurement quality in the determination of iron content in ore |
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Lindera, K. |
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P – 21 |
Validation of the quantification of Mitragynine in Kratom by HPLC-DAD |
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Lopes, A.; Gómez, M.; Silva, R.B.; Gaspar, H. |
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P – 22 |
Validation of the quantification of Cathinones in “plant feeders” by 1H qNMR |
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Lopes, R.; Brito, M.; Gaspar, H.; Silva, R.B. |
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P – 23 |
Optimisation of the efficiency gain quantification of the catalytic photodegradation of methylene blue |
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Rosa, N.; Silva, R.B.; Camões, M.F.; Monteiro, O.C. |
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P – 24 |
A comparison study on the uncertainty evaluation for the determination of total nitrogen, using ISO 11352 and other alternative approaches |
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Sousa, J.A.; Reynolds, A.; Ribeiro, A. |
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P – 25 |
Assessment of the compatibility of mean activity coefficients estimated experimentally and by Pitzer equations |
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Anes, B.; Silva, R.B.; Martins, H.; Camões, M.F. |
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P – 26 |
Uncertainty associated with the measurement of mineral micropollutants in natural waters and in waste waters: differences observed between analytical methods during proficiency testing schemes |
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De Kuyssche, D.; Charpentier, R.; Penhoat, M.; Courtade, E.; Guarini, P. |
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P – 27 |
Evaluation of performance of handheld XRF analyzer and possibilities for use in quantitative assessment |
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Jönsson, M. |
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P – 28 |
The quality system and metrology in chemistry: HR University training |
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Fertonani, F.L.; Pastrea, I.A.; Hojo, O.; Batistuti, J.P.; Furlan, E.G.; Santos, C.C. |
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P – 29 |
TrainMiC® a steadily growing and sustainable learning community |
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Taylor, P. |
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