Selective homogeneous liquid-liquid extraction and preconcentration of copper(II) into a micro droplet using a benzo-substituted macrocyclic diamide, and its determination by electrothermal atomic absorption spectrometry

Alizadeh, Kamal; Zohrevand, Somaieh; Ghiasvand, Alireza; Hashemi, Payman; Shamsipur, Mojtaba; Sharghi, Hashem; Khalifeh, Reza

doi:10.1007/s00604-009-0268-6

Cited by 19 publications

(11 citation statements)

References 16 publications

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“…The value of a depended on the number of experimental runs in the factorial portion of CCD as a ¼ [2] k/4 ; in this research, with k ¼ 4 and a ¼ AE2. 47 The R 2 value for the response surface regression was 0.9995, (Y ¼ 0.0074X + 0.0374) which demonstrated quite proper modeling. A list of the experiments in the response surface design for the nal optimization and responses are shown in Table 2.…”

Section: Response Surface and Selection Of Optimum Conditionsmentioning

confidence: 84%

Response surface methodology based on central composite design as a chemometric tool for optimizing dispersive liquid–liquid microextraction for determining ultra-trace amounts of zinc in oil and water samples

et al. 2016

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The reliable and rapid dispersive liquid-liquid microextraction (DLLME) was applied to highly selective preconcentration and extraction of ultra-trace Zn 2+ levels as a prior step to its determination by graphite furnace atomic absorption spectrometry (GFAAS). In this method, N,N-phenylenebis (salicylideaminato) (L) was used as a Zn 2+ selective complexing agent. A mixture containing a dispersing solvent (methanol), extraction solvent (chloroform), and proper levels of the chelating agent was rapidly injected into the 5 mL aqueous sample containing 2.5% (w/v) sodium chloride and Zn 2+ , which resulted in a cloudy solution. After 5 min of centrifuging at 5500 rpm, the fine droplets of extraction solvent were sedimented at the bottom of the conical test tube. The variables of interest in the DLLME method, such as extraction and dispersion solvent types and volumes, sample solution pH, extraction time, chelating agent concentration, and ionic strength, were investigated and optimized using a chemometrics approach. Then, after the preliminary experiment, the factors presenting significant positive effects on the analytical response (pH, salt effect, extraction solvent, and ligand concentration) were considered in a further response surface methodology based on central composite design to optimize the operational conditions for DLLME. It was found that extraction time and common interfering ions had no significant effect on the extraction recovery. Under the selected conditions, the linear range was 0.2-100 ng mL À1 and limit of detection was 0.05 ng mL À1 for most of the analytes. The relative standard deviation (R.S.D) for 2 ng mL À1 Zn 2+ was 4.87% (n ¼ 15) and the enrichment factor was 167 from 5 mL of the aqueous sample. In the optimum conditions, the present method was successfully applied to the preconcentration and Zn 2+ determination in different natural oil and water samples. Fig. 1 (A) Chemical structure of the ligand. (B) Absorbance spectra of a 1 Â 10 À6 mol L À1 solution of L in methanol at different Zn 2+ concentrations. (C) Influence of pH on the Zn 2+ recovery; extraction conditions: sample volume, 5 mL; dispersing solvent volume, 450 mL methanol; extraction solvent, 35 mL CHCl 3 ; chelating agent 1 Â 10 À6 mol L À1 ; pH ¼ 6; salt concentration: 2.5% (w/v) and 2.00 ng mL À1 Zn 2+ concentration. Anal. MethodsThis journal is

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Section: Response Surface and Selection Of Optimum Conditionsmentioning

confidence: 84%

Response surface methodology based on central composite design as a chemometric tool for optimizing dispersive liquid–liquid microextraction for determining ultra-trace amounts of zinc in oil and water samples

et al. 2016

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“…5 was plotted for a dependent variable versus two independent variables with the remaining variables at a constant level. The curvature of the response surface reflects the interactive effect of the variables on the response [32]. The R 2 value for the response surface regression was 0.958, indicating a quite proper modeling.…”

Section: Optimization By Response Surface Analysismentioning

confidence: 98%

“…A Shimadzu hollow-cathode lamp was employed as the radiation source under the manufacturer's recommended conditions. All measurements were performed using the peak height [31,32]. The instrumental parameters and temperature program for the graphite atomizer are listed in Table 1.…”

Section: Materials and Instrumentsmentioning

confidence: 99%

Selective dispersive liquid–liquid microextraction and preconcentration of Ni(II) into a micro droplet followed by ETAAS determination using a yellow Schiff's base bisazanyl derivative

Alizadeh

Nemati

Zohrevand

et al. 2013

Materials Science and Engineering: C

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“…This means that the determined value is in good agreement with the certified value. Recently, several works have reported the use of different extraction methods including liquid-liquid microextraction (LLME) [23], in situ solvent formation microextraction (ISFME) [24], homogeneous liquid-liquid extraction (HLLE) [25], cloud point extraction (CPE) [26][27][28] and solid phase extraction (SPE) [29,30] for the extraction of Cu 2+ from various samples. Table 1 summarizes the comparison of various methods for the extraction of Cu 2+ .…”

Section: Analysis Of Copper Standard Materialsmentioning

confidence: 99%

Extraction behavior of copper(II) ion with a hydrophobic amino-functionalized ionic liquid

et al. 2012

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We have prepared the hydrophobic aminofunctionalized ionic liquid (IL) 1-(2-aminoethyl)-3-butylimidazolium hexafluorophosphate and investigated its extraction behavior for copper(II) ion as a model cation. The IL, due to the presence of an amino group, is capable of complexing Cu(II) in a ratio of 6:1. The parameters affecting the extraction efficiency were optimized. The IL-based liquid-liquid microextraction was successfully applied to the analysis of Cu(II) in an environmental water standard reference material. The results are promising in terms of liquidliquid microextraction, separation, and preconcentration of Cu(II).

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Selective homogeneous liquid-liquid extraction and preconcentration of copper(II) into a micro droplet using a benzo-substituted macrocyclic diamide, and its determination by electrothermal atomic absorption spectrometry

Cited by 19 publications

References 16 publications

Response surface methodology based on central composite design as a chemometric tool for optimizing dispersive liquid–liquid microextraction for determining ultra-trace amounts of zinc in oil and water samples

Response surface methodology based on central composite design as a chemometric tool for optimizing dispersive liquid–liquid microextraction for determining ultra-trace amounts of zinc in oil and water samples

Selective dispersive liquid–liquid microextraction and preconcentration of Ni(II) into a micro droplet followed by ETAAS determination using a yellow Schiff's base bisazanyl derivative

Extraction behavior of copper(II) ion with a hydrophobic amino-functionalized ionic liquid

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