Multivariate calibration in differential pulse stripping voltammetry using a home-made carbon-nanotubes paste electrode

A home-made carbon-nanotube paste electrode and multivariate standard-addition method by partial least square regression are employed to pursue improvement of analytical performance in differential pulse stripping voltammetry. Validation is achieved by analyzing reference standard solutions of Pb(II) and evaluating the control parameters: correlation coefficient, prediction coefficient, root-mean square error in calibration and root-mean square error in validation. Validation of multivariate calibration by external-standard method (interpolation) and partial least squares regression is obtained. Analogous validation is obtained also in extrapolation mode by multivariate standard addition method. Application to the analysis of drugs is described, showing the possibility to analyze complex matrices by the rapid, inexpensive and potentially multianalyte and portable voltammetric methodology here presented.

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► A wide linear range in differential pulse stripping voltammetry is obtained.
► Electrodes are home-made and based on carbon-nanotube/polydimethylsiloxane paste.
► Multivariate calibration by partial least squares regression is applied.
► The first application of multivariate standard addition method is shown.
► The proposed method is rapid, inexpensive and suitable for complex matrices.