Using continuum regression for quantitative analysis with overlapping signals obtained by differential pulse polarography

In this work the power continuum regression was used to show its interest and efficiency in the resolution of overlapping polarographic signals. The methodology was applied to an example of calibration with mixtures of T1(I) and Pb(II), using differential pulse polarography (DPP). The errors in absolute value oscillated between 1% and 3.5%, according to whether the analyte determined is that which originates the largest or the smallest signal in the presence of the other component which acts as interferent. The advantages of the power continuum regression in the automatic election of the optimum multivariate regression to be used in each case are also described. Furthermore, the incidence of the autoscaling and of a confidence interval for the PRESS (calculated by the bootstrap method) in the accuracy reached is evaluated.