A non-statistical approach in systematic error estimation at some metal ions determination in environmental objects by stripping voltammetry

A technique for systematic error estimation and compensation in determination of bismuth (III), copper (II) and mercury (II) by stripping voltammetry in environmental objects was developed. The analytical signal modelling with the phenomenological functions for systematic error estimation of base line subtraction was used as a chemometric tool. The dependences of systematic error on relative magnitude of analytical signals of determined metals were used to calculate the mean value of systematic error and its confidential interval in order to correct the experimental results. The efficiency of the proposed technique is proved by determination of metals in model solutions and environmental objects. The proposed procedure allows not only reducing the systematic error but also decreasing the dispersion of experimental values (narrowing the confidence interval). The proposed procedure of systematic error compensation yields to increasing the analysis accuracy for determination of mercury (II), copper (II), and bismuth (III) in environmental objects by stripping voltammetry.