Pharm Sci. 2016;22(2):87-95.
doi: 10.15171/PS.2016.15

Scopus id: 84977071262
  Abstract View: 864
  PDF Download: 773

Research Article

Microextraction Methods for Preconcentration of Aluminium in Urine Samples

Farzad Farajbakhsh 1,2, Mohammad Amjadi 2, Jamshid Manzoori 3, Mohammad R. Ardalan 4, Abolghasem Jouyban 5,6 *

1 Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
2 Department of Analytical Chemistry, Faculty of Chemistry, Tabriz University, Tabriz, Iran
3 Department of Chemistry, Tabriz Islamic Azad University, Tabriz, Iran
4 Chronic Kidney Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
5 Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
6 Kimia Idea Pardaz Azarbayjan (KIPA) Science Based Company, Tabriz University of Medical Sciences, Tabriz, Iran

Abstract

Background: Analysis of aluminium (Al) in urine samples is required in management of a number of diseases including patients with renal failure. This work aimed to present dispersive liquid-liquid microextraction (DLLME) and ultrasound-assisted emulsification microextraction (USAEME) methods for the preconcentration of ultra-trace amount of aluminum in human urine prior to its determination by a graphite furnace atomic absorption spectrometry (GFAAS). Methods: The microextraction methods were based on the complex formation of Al3+ with 8-hydroxyquinoline. The effect of various experimental parameters on the efficiencies of the methods and their optimum values were studied. Results: Under the optimal conditions, the limits of detection for USAEME-GFAAS and DLLME-GFAAS were 0.19 and 0.30 ng mL−1, respectively and corresponding relative standard deviations (RSD, n=5) for the determination of 40 ng mL−1 Al3+ were 5.9% and 4.9%. Conclusion: Both methods could be successfully used to the analysis of ultra trace concentrations of Al in urine samples of dialysis patients.
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Submitted: 20 Jan 2016
Accepted: 20 Feb 2016
First published online: 30 Jun 2016
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