Measurement uncertainty of thermodynamic data

Thermodynamic quantities of chemical reactions an commonly derived from exp erimental data obtained by chemical analysis. The accuracy of the evaluated thermodynamic quantities is limited by the measurement uncertainty of the analytical techniques applied, Straightforward transfer of metrological rul es established for determination of single analytes to the more complex pro cess of evaluating values of thermodynamic quantities is not possible. Comp uter-intensive statistical methods and Monte Carlo techniques are shown to enable integration of existing metrological concepts. An initial stage of t he integration of both concepts is presented, taking solubility data for Am (III) in carbonate media as an illustrative example. A cause and effect dia gram is created as a means of identification of sources of uncertainty. The uncertainties are used in a resampling-based Monte Calls study to produce a probability distribution of the value of a quantity.