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

Abstract 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.

[1]  Raymond E. Dessy,et al.  Linear parameter estimation of fused peak systems in the spatial frequency domain , 1980 .

[2]  Biserka Raspor,et al.  Comparative quantitative analysis of overlapping voltammetric signals , 1994 .

[3]  Silvia Lanteri,et al.  Full validation procedures for feature selection in classification and regression problems , 1992 .

[4]  A. Bond,et al.  Simple approach to the problem of overlapping waves using a microprocessor controlled polarograph , 1976 .

[5]  A global perspective on multivariate calibration methods , 1993 .

[6]  A. Espinosa-Mansilla,et al.  Abilities of differentiation and partial least squares methods in the analysis by differential pulse polarography Simultaneous determination of furazolidone and furaltadone , 1995 .

[7]  A. Jiménez,et al.  Application of the Multiple Linear Regression Method to Differential Pulse Polarography , 1994 .

[8]  R. Neeb,et al.  Inverse-voltammetric determination of bismuth in biomaterials with computer assisted peak evaluation , 1988 .

[9]  J. Friedman,et al.  A Statistical View of Some Chemometrics Regression Tools , 1993 .

[10]  M. C. Ortiz,et al.  Multiple standard addition with latent variables (MSALV): Application to the determination of copper in wine by using differential-pulse anodic stripping voltammetry , 1994 .

[11]  P. Sprent,et al.  Applied nonparametric statistical methods , 1988 .

[12]  S. Wold.  Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models , 1978 .

[13]  S. P. Perone,et al.  Quantitative resolution of overlapped peaks in programmed potential-step voltammetry , 1979 .

[14]  F. Fagioli,et al.  Peak resolution in the determination of cobalt and nickel by differential pulse and alternating current adsorption voltammetry , 1991 .

[15]  Serge Kokot,et al.  Simultaneous polarographic chemometric trace analysis of pyrazine and its methyl derivatives , 1992 .

[16]  I. Wakeling,et al.  A test of significance for partial least squares regression , 1993 .

[17]  Ivanka Pižeta.  Deconvolution of non-resolved voltammetric signals , 1994 .

[18]  Steven D. Brown,et al.  Resolution of overlapped electrochemical peaks with the use of the Kalman filter , 1981 .

[19]  Steven D. Brown,et al.  Resolution of strongly overlapped responses in square-wave voltammetry by using the Kalman filter , 1985 .

[20]  Philip Jonathan,et al.  Statistical thinking and technique for QSAR and related studies. Part II: Specific methods , 1994 .

[21]  D. Jagner,et al.  Determination of iron(III) and titanium(IV) as their Solochrome Violet RS complexes by constant-current stripping potentiometry: Part 2. Partial least-squares regression calibration procedure for iron(III) and titanium(IV) , 1993 .

[22]  A. Bond.  Modern Polarographic Methods in Analytical Chemistry , 1980 .

[23]  A. Espinosa-Mansilla,et al.  Resolution of ternary mixtures of nitrofurantoin, furazolidone and furaltadone by application of Partial Least Squares analysis to the differential pulse polarographic signals. , 1994, Talanta.

[24]  J. Pingarrón,et al.  Application of partial least-squares regression to the suitability of multicomponent polarographic determination of organochlorine pesticides in emulsified medium , 1993 .

[25]  L. E. Wangen,et al.  A theoretical foundation for the PLS algorithm , 1987 .