Application of cause-and-effect analysis to potentiometric titration.
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.
Kufelnicki
A
A
Laboratory of Physical and Biocoordination Chemistry, Medical University of Łódź, 90-151, Łódź, Poland, akuf@pharm.am.lodz.pl
Lis
S
S
Meinrath
G
G
D001150:Arsenazo III / Q000032:analysis*; D006863:Hydrogen-Ion Concentration; D015233:Models, Statistical; D009010:Monte Carlo Method; D011199:Potentiometry / Q000379:methods / Q000706:statistics & numerical data; D012984:Software; D035501:Uncertainty
D001150:Arsenazo III