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Novel separation and preconcentration of trace amounts of copper(II) in water samples based on neocuproine modified magnetic microparticles
Authors:Parviz Ashtari   Kemin Wang   Xiaohai Yang   Shasheng Huang  Yadollah Yamini
Affiliation:

aInstitute of Biological Engineering, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Engineering Center for Biomedicine, Hunan University, South of lusan Road, Changsha 410082, China

bDepartment of Chemistry, Faculty of science, Tarbiat Modarres Unversity, Tehran, Iran

Abstract:A novel, simple method based on magnetically assisted chemical separation (MACS) has been developed for analytical purposes. In this method, neocuproine modified magnetic microparticles was used for selective extraction and preconcentration of copper(II) ions from aqueous solutions. The advantages of this method include consumption of organic solvents almost eliminated and applications on unclear (containing suspended particles) samples without any preliminary filtration step. This method combines simplicity and selectivity of solvent extraction with easy separation of magnetic microparticles from solution with magnet. In addition, it can be considered as a simple method for determination of partition coefficient. The influence of different parameters, such as presence of extractant, amount of extractant loaded on the microparticles, reducing agent, pH, equilibrium time, ionic strength, type and least amount of stripping solution and limit of detection, were evaluated. Also, the effects of various cationic and anionic interferences on the percent recovery of copper were studied. Copper ions were extracted from solution at pH 6 and were stripped from microparticles with 0.5 M HNO3. Extraction efficiencies for solutions with volumes up to 100 ml were >99%. Limit of detection was 1.5 μg/l. The method was applied to the recovery and determination of copper in different water samples.
Keywords:Copper   Neocuproine   Magnetic microparticle   Separation
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