Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water

Abstract This paper proposes an analytical method to determine directly and simultaneously five phenolic compounds (4-nitrophenol, 2-nitrophenol, phenol, 2,4,6-trichlorophenol and 4-chlorophenol) in sea water (Ria de Bahia Blanca, Argentine). The advantages of this method is that only requires spectrophotometric measurements (separation steps and derivatization reagents are avoided) and chemometric modelling (PLS and MLR–SPA). The statistical comparison between PLS — a well established multivariate method — and MLR–SPA — a recently presented chemometric modelling — demonstrated better analytical performance for the later one. This fact is indicative of the potentiality of MLR–SPA for solving complex analytical problems.

[1]  M. C. U. Araújo,et al.  The successive projections algorithm for variable selection in spectroscopic multicomponent analysis , 2001 .

[2]  C. B. Lucasius,et al.  Genetic algorithms in wavelength selection: a comparative study , 1994 .

[3]  Riccardo Leardi,et al.  Genetic Algorithms as a Tool for Wavelength Selection in Multivariate Calibration , 1995 .

[4]  F. Borrull,et al.  Solid-phase microextraction coupled to high-performance liquid chromatography to determine phenolic compounds in water samples. , 2002, Journal of chromatography. A.

[5]  H. Bagheri,et al.  Immersed solvent microextraction of phenol and chlorophenols from water samples followed by gas chromatography-mass spectrometry. , 2004, Journal of chromatography. A.

[6]  E. V. Thomas,et al.  Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information , 1988 .

[7]  G. Eadon,et al.  Evaluation of Nielsen-Kryger Steam Distillation Technique for Recovery of Phenols from Soil , 1983 .

[8]  Li Wang,et al.  Simultaneous determination of nitrobenzene and nitro-substituted phenols by differential pulse voltammetry and chemometrics , 2001 .

[9]  Maria Fernanda Pimentel,et al.  Aspects of the successive projections algorithm for variable selection in multivariate calibration applied to plasma emission spectrometry , 2001 .

[10]  Celio Pasquini,et al.  Determination of total sulfur in diesel fuel employing NIR spectroscopy and multivariate calibration. , 2003, The Analyst.

[11]  F. Borrull,et al.  Determination of eleven priority EPA phenolics at ng L−1 levels by on-line solid-phase extraction and liquid chromatography with UV and electrochemical detection , 1998 .

[12]  A. Olivieri,et al.  Simultaneous spectrophotometric-multivariate calibration determination of several components of ophthalmic solutions: phenylephrine, chloramphenicol, antipyrine, methylparaben and thimerosal. , 2000, Talanta.

[13]  M. Miró,et al.  Multicomponent sequential injection analysis determination of nitro-phenols in waters by on-line liquid-liquid extraction and preconcentration , 2000 .

[14]  Luis Cuadros Rodríguez,et al.  Estimation of Performance Characteristics of an Analytical Method Using the Data Set Of The Calibration Experiment , 1993 .

[15]  Wei Zhang,et al.  Determination of phenols by flow injection and liquid chromatography with on-line quinine-sensitized photo-oxidation and quenched luminol chemiluminescence detection , 2003 .

[16]  A. Olivieri,et al.  Sustained prediction ability of net analyte preprocessing methods using reduced calibration sets. Theoretical and experimental study involving the spectrophotometric analysis of multicomponent mixtures. , 2001, The Analyst.

[17]  M. Prat,et al.  Solid-phase microextraction coupled to liquid chromatography for the analysis of phenolic compounds in water. , 2001, Journal of chromatography. A.

[18]  R. Cela,et al.  Optimization of a derivatization-solid-phase microextraction method for the analysis of thirty phenolic pollutants in water samples. , 2002, Journal of chromatography. A.

[19]  John H. Kalivas,et al.  Global optimization by simulated annealing with wavelength selection for ultraviolet-visible spectrophotometry , 1989 .

[20]  R. Leardi Application of a genetic algorithm to feature selection under full validation conditions and to outlier detection , 1994 .

[21]  Alejandro C. Olivieri,et al.  A comparison of orthogonal signal correction and net analyte preprocessing methods. Theoretical and experimental study , 2001 .

[22]  Alejandro C Olivieri,et al.  Interference-free analysis using three-way fluorescence data and the parallel factor model. Determination of fluoroquinolone antibiotics in human serum. , 2003, Analytical chemistry.

[23]  Roberto Kawakami Harrop Galvão,et al.  Simultaneous spectrometric determination of Cu2+, Mn2+ and Zn2+ in polivitaminic/polimineral drug using SPA and GA algorithms for variable selection , 2005 .

[24]  K. Tsukagoshi,et al.  Separation and determination of phenolic compounds by capillary electrophoresis with chemiluminescence detection. , 2002, Journal of chromatography. A.

[25]  J. Riu,et al.  Validation of bias in multianalyte determination methods. Application to RP-HPLC derivatizing methodologies , 2000 .

[26]  Tormod Næs,et al.  Understanding the collinearity problem in regression and discriminant analysis , 2001 .

[27]  A. Olivieri,et al.  Chemometric assisted simultaneous spectrophotometric determination of four-component nasal solutions with a reduced number of calibration samples , 2002 .