Analytical potentiometric data analyses of metal–ligand equilibria by microcomputer. A general procedure for minimizing potential sources of errors and a fast linear-scaled least-squares algorithm
Analytical potentiometry is a powerful technique to investigate multiple species in solution and their formation constants. However, there have been some difficulties in this method resulting primarily from the theoretical approach. In this paper we critically examined them and improvements have been implemented successfully. Suitable experimental designs are adapted and preliminary computation of potentiometric data are performed to minimize potential sources of errors. Criteria are proposed to choose the best set of titration curves. A correction is introduced to partially minimize the errors originating from the volume variation. A linear-scaled minimization algorithm has been implemented to extract the value of the complex stability constants from the experimental free ion concentrations. This has two advantages over the earlier non-linear minimization process. The execution time is faster and it facilitates the selection of the best fit of species. A series of 14 programs are introduced to run on a low memory microcomputer.