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 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.  | 
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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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