4.6 Article

Automated dispersive liquid-liquid microextraction coupled to high performance liquid chromatography - cold vapour atomic fluorescence spectroscopy for the determination of mercury species in natural water samples

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1493, Issue -, Pages 1-9

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2017.03.002

Keywords

Automation; Dispersive liquid-liquid microextraction; High performance liquid chromatography; Cold vapour atomic fluorescence; spectroscopy; Mercury; Speciation analysis

Funding

  1. Technology research and development program of the department of science and technology of Sichuan [2016NZ0068]
  2. Fundamental Research Funds for the Central Universities [ZYGX2014J092]

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An automated, home-constructed, and low cost dispersive liquid-liquid microextraction (DLLME) device that directly coupled to a high performance liquid chromatography (HPLC) - cold vapour atomic fluorescence spectroscopy (CVAFS) system was designed and developed for the determination of trace concentrations of methylmercury (MeHg+), ethylmercury (EtHg+) and inorganic mercury (Hg2+) in natural waters. With a simple, miniaturized and efficient automated DLLME system, nanogram amounts of these mercury species were extracted from natural water samples and injected into a hyphenated HPLC-CVAFS for quantification. The complete analytical procedure, including chelation, extraction, phase separation, collection and injection of the extracts, as well as HPLC-CVAFS quantification, was automated. Key parameters, such as the type and volume of the chelation, extraction and dispersive solvent, aspiration speed, sample pH, salt effect and matrix effect, were thoroughly investigated. Under the optimum conditions, linear range was 10-1200 ng L-1 for EtHg+ and 5-450 ng L-1 for MeHg+ and Hg2+. Limits of detection were 3.0 ng L-1 for EtHg+ and 1.5 ng L-1 for MeHg+ and Hg2+. Reproducibility and recoveries were assessed by spiking three natural water samples with different Hg concentrations, giving recoveries from 88.4-96.1%, and relative standard deviations < 5.1%. (C) 2017 Elsevier B.V. All rights reserved.

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