Abstract
In this work solid phase extraction had been implemented with fiber optic-linear array detection spectrometry and partial least squares (PLS) multivariate calibration approach for simultaneous determination of ultra trace amounts of metals with complexes which have overlapping spectra. An octadecyl silica membrane disk modified with N-benzoyl-Nphenylhydroxylamine (BPHA) in combination with partial least squares regression (PLS) was used for simultaneous preconcentration and spectrophotometric determination of iron and vanadium in water samples. The method was based on the retention of V(V) and Fe(III) on the disks modified by BPHA in the pH range of 2.0-4.5. The retained ions were eluted with 3 mL of methyl isobutyl ketone and were measured spectrophotometrically. The data obtained from the experiments were processed by partial least squares chemometric method. PLS was applied for multivariate calibration and noise reduction through eliminating of the less important latent variables. Under the optimum conditions, for preconcentrating the analytes from 100 mL sample, the linear dynamic ranges were 14–320 µg L-1 and 10–530 µg L-1 and the detection limits were 4.2 µg L-1 and 2.5 µg L-1 for V(V) and Fe(III), respectively. The method was successfully applied to the determination of analytes in several categories of water samples. The accuracy was assessed through the recovery experiments, independent analysis by graphite furnace atomic absorption spectrometry and the analysis of a certified reference water sample.
Keywords: Solid phase extraction, chemometrics, spectrophotometry, iron (III) and vanadium (V) determination.
Current Analytical Chemistry
Title:Simultaneous Spectrophotometric Determination of Iron (III) and Vanadium (V) in Water Samples Using a Combination of Partial Least Squares Regression and Solid Phase Extraction with Modified Octadecyl Silica Membrane Disks
Volume: 10 Issue: 4
Author(s): Tahereh Asadollahi, Ali Mohammad Haji Shabani and Shayessteh Dadfarnia
Affiliation:
Keywords: Solid phase extraction, chemometrics, spectrophotometry, iron (III) and vanadium (V) determination.
Abstract: In this work solid phase extraction had been implemented with fiber optic-linear array detection spectrometry and partial least squares (PLS) multivariate calibration approach for simultaneous determination of ultra trace amounts of metals with complexes which have overlapping spectra. An octadecyl silica membrane disk modified with N-benzoyl-Nphenylhydroxylamine (BPHA) in combination with partial least squares regression (PLS) was used for simultaneous preconcentration and spectrophotometric determination of iron and vanadium in water samples. The method was based on the retention of V(V) and Fe(III) on the disks modified by BPHA in the pH range of 2.0-4.5. The retained ions were eluted with 3 mL of methyl isobutyl ketone and were measured spectrophotometrically. The data obtained from the experiments were processed by partial least squares chemometric method. PLS was applied for multivariate calibration and noise reduction through eliminating of the less important latent variables. Under the optimum conditions, for preconcentrating the analytes from 100 mL sample, the linear dynamic ranges were 14–320 µg L-1 and 10–530 µg L-1 and the detection limits were 4.2 µg L-1 and 2.5 µg L-1 for V(V) and Fe(III), respectively. The method was successfully applied to the determination of analytes in several categories of water samples. The accuracy was assessed through the recovery experiments, independent analysis by graphite furnace atomic absorption spectrometry and the analysis of a certified reference water sample.
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Asadollahi Tahereh, Shabani Mohammad Haji Ali and Dadfarnia Shayessteh, Simultaneous Spectrophotometric Determination of Iron (III) and Vanadium (V) in Water Samples Using a Combination of Partial Least Squares Regression and Solid Phase Extraction with Modified Octadecyl Silica Membrane Disks, Current Analytical Chemistry 2014; 10 (4) . https://dx.doi.org/10.2174/157341101004140701122546
DOI https://dx.doi.org/10.2174/157341101004140701122546 |
Print ISSN 1573-4110 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6727 |
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