Liquid Liquid Extraction and Simultaneous Spectrophotometric Determination of Nickel and Cobalt by PAR with Orthogonal Signal Correction-Partial Least Squares
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
Partial least squares modeling is a powerful multivariate statistical tool applied to extraction spectrophotometric simultaneous determination of mixtures of nickel and cobalt. The method is based on the formation of complexes of 4-(2- pyridylazo) resorcinol (PAR) with nickel and cobalt. The PAR complexes are quantitatively extracted into dichloromethane and the resolution of the mixtures is accomplished by partial least squares (PLS). Orthogonal signal correction (OSC) is a preprocessing technique used in the information unrelated to the target variables based on constrained principal component analysis. OSC is a suitable preprocessing method for partial least squares calibration of mixtures without loss of prediction capacity using spectrophotometric method. In this study, the calibration model is based on absorption spectra in the 350-750 nm range for 25 different mixtures of nickel and cobalt. Calibration matrices ranges were 1.0-300.0 and 1.0-200 ng ml-1 for nickel and cobalt, respectively. A series of synthetic solutions containing different concentrations of nickel and cobalt was used to check the prediction ability of the PLS and OSC-PLS models. The RMSEP for nickel and cobalt with OSC and without OSC was 0.243 and 0.339, 0.502 and 0.622, respectively. The method was successfully applied to the analysis of spiked water (river, tap and well) samples.
Authors and Affiliations
Reza Moradi
Keywords
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