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Application of cause-and-effect analysis to potentiometric titration

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A first attempt has been made to interpret physicochemical data from potentiometric titration analysis in accordance with the complete measurement-uncertainty budget approach (bottom-up) of ISO and Eurachem. A cause-and-effect diagram is established and discussed. Titration data for arsenazo III are used as a basis for this discussion. The commercial software Superquad is used and applied within a computer-intensive resampling framework. The cause-and-effect diagram is applied to evaluation of seven protonation constants of arsenazo III in the pH range 2–10.7. The data interpretation is based on empirical probability distributions and their analysis by second-order correct confidence estimates. The evaluated data are applied in the calculation of a speciation diagram including uncertainty estimates using the probabilistic speciation software Ljungskile.

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Financial support by the Medical University of Łódź (Project 503-314-2) is kindly acknowledged. Special thanks are due to Dr M. Świątek (Łódź) for collecting the experimental data reported in this communication.

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Correspondence to A. Kufelnicki.

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This paper is dedicated to the memory of the late Pope John Paul II, Dr honoris causa of Adam Mickiewicz University.

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Kufelnicki, A., Lis, S. & Meinrath, G. Application of cause-and-effect analysis to potentiometric titration. Anal Bioanal Chem 382, 1652–1661 (2005).

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