Quality assurance and quality control procedures Why?  Users must be satisfied with the quality – the fitness of purpose – of the measurements (method.

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Presentation transcript:

Quality assurance and quality control procedures Why?  Users must be satisfied with the quality – the fitness of purpose – of the measurements (method performance studies)  Results from different laboratories must be comparable (laboratory performance studies)  Results must be supplied with realistic estimate of their uncertainty (transparency and traceability)

The learning process* Knowledge Hypothesis Experimental design Experiment Models *Environmental Chemistry: measuring and modelling ( WE ) Chemical functionality (WE 8369) Creativity Data acquisition Extraction of information Synthesis Analysis Method validation Development ISO/IUPAC/AOAC

Examples of modelling works at ANCH  Oceanography and Biogeochemistry Optimum multi parameter analysis. To provide information about water mass circulation and to separate mixing from biochemical processes Compartmental analysis. To extract information from experiments using stable isotopes C, N and Si Factorial design and optimization. To assess the influence of biogeochemical variables on N & C productivity

Examples of modelling works at ANCH  System Identification Climate time series analysis. To predict future changes in ecological and climatological variables and to separate human impact from natural fluctuations  Health and Environment Risk assessment. To assess human and ecological risks associated with the use of pesticides Trace metal contamination. To extract information from measurements using passive sampling devices: Organic vs inorganic metal speciation