3.9 Article

AN EFFICIENT IONIC LIQUID-BASED CLOUD POINT EXTRACTION TO PRECONCENTRATE MERCURY IN ENVIRONMENTAL SAMPLES AND HAIR OF OCCUPATIONAL WORKERS BEFORE SPECTROPHOTOMETRIC DETECTION

Journal

BULLETIN OF THE CHEMICAL SOCIETY OF ETHIOPIA
Volume 36, Issue 4, Pages 767-778

Publisher

CHEM SOC ETHIOPIA
DOI: 10.4314/bcse.v36i4.4

Keywords

KEY WORDS; Mercury; Ionic liquid-based cloud point extraction; Environmental and hair samples; Spectrophotometry

Funding

  1. Deanship of Scientific Research at Umm Al-Qura University [19-MED-1-02-0009]

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A unique, eco-friendly, and quick ionic liquid-based cloud point extraction method was used for preconcentration of mercury in environmental samples and hair of occupational workers prior to spectrophotometric detection. The method showed good linearity, low detection limit, and good precision and reliability.
Mercury preconcentration in environmental samples and hair of occupational workers prior to spectrophotometric detection was described using a unique, eco-friendly, and quick ionic liquid-based cloud point extraction method. The discovered method used an ionic liquid 1-butyl-3-methylimidazolium hexafluorophosphate with Triton X-114 as an extracting phase in the presence of a new chelating agent 3-(2-hydroxy-5-ethoxycarbonylphen-1-ylazo)-1,2,4-triazole at pH 7.0 to separate mercury and measure the complex spectrophotometrically at wavelength 550 nm. The effects of several analytical factors on extraction performance were investigated. With a correlation coefficient of 0.9997. The calibration graph was linear in the range of 2.0-400 mu g/L. The limit of detection and preconcentration factor, respectively, were 0.5 mu g/L and 100. The relative standard deviation of 100 and 300 mu g/L mercury (n = 10) was 1.5 and 2.2, respectively, indicating the precision and reliability of the new IL-CPE approach. The accuracy of the proposed approach confirmed through the certified reference materials analysis. The applicability of the established technique was demonstrated successfully by the estimation of trace mercury in environmental samples and hair of occupational workers.

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