Title

A Simple Method For Methylmercury, Inorganic Mercury And Ethylmercury Determination In Plasma Samples By High Performance Liquid Chromatography-Cold-Vapor-Inductively Coupled Plasma Mass Spectrometry

Keywords

ICP-MS; Liquid chromatography; Mercury; Plasma; Sample preparation; Speciation

Abstract

A simple and sensitive method with a fast sample preparation procedure is proposed for the determination of mercury species in plasma/serum. The method combines online high-performance liquid chromatography separation, Hg cold-vapor formation and inductively coupled plasma mass spectrometry detection. Prior to analysis, plasma (250μL) was accurately pipetted into 15mL conical tubes. Then, an extractant solution containing mercaptoethanol, L-cysteine and HCl was added to the samples following sonication for 10min. Quantitative mercury extraction was achieved with the proposed procedure. Separation of mercury species was accomplished in less than 8min on a C8 reverse phase column with a mobile phase containing 3% v/v methanol+97% v/v (0.5% v/v 2-mercaptoethanol+0.05% v/v formic acid). The method detection limits were found to be 12ngL-1, 5ngL-1 and 4ngL-1 for inorganic mercury, ethylmercury and methylmercury, respectively. Method accuracy is traceable to Standard Reference Material (SRM) 966 Toxic Metals in Bovine Blood from NIST. Additional validation was provided by the analysis of a secondary reference serum sample from the INSQ-Canada. Finally, the method was successfully applied for the speciation of mercury in plasma samples collected from volunteers exposed to methylmercury through fish consumption. For the first time to our knowledge, levels of different species of Hg in plasma samples from riverside populations exposed to MeHg were determined. © 2012 Elsevier B.V.

Publication Date

1-25-2013

Publication Title

Analytica Chimica Acta

Volume

761

Number of Pages

11-17

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.aca.2012.11.038

Socpus ID

84872129974 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84872129974

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