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Calcium alginate microparticles for rare earth elements preconcentration prior to ICP-MS measurements in fresh water

Abstract

This work presents a method for the single-stage preconcentration and simultaneous determination of 14 rare earth elements (REE), La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb and Lu, in fresh waters using calcium alginate (CA) microparticles as substrate for further determination by single quadrupole inductively coupled plasma mass spectrometry (ICP-MS). On-line analyte preconcentration was achieved using a flow-injection system incorporating a column filled with CA microparticles (< 180 μm size; 300 mg). The proposed procedure was validated for 100 mL test portions, providing an enrichment factor of 100. The method was applied for the analysis of tap water and river water test samples, and validation was carried out with the analysis of the corresponding test samples spiked with 10 µg kg-1 REE standard solution (La-Lu), wherein recoveries ranging from 90 to 102 % were obtained. Coefficients of variation of REE determinations were smaller than 4.0 % (inter-column reproducibility, n = 3). Limit of detection of the method ranged from 0.01 to 0.03 ng kg-1 (achieved with a 100-fold pre-concentration). The procedure (sample loading, rinsing and elution) takes ca. 30 min per replicate. The proposed approach using CA columns is a reliable and low cost alternative for single-stage REE preconcentration prior to ICP-MS measurements, and can be recommended for the analysis of river water and tap water samples. CA column re-usability was confirmed up to 50 adsorption/desorption cycles.

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Supplementary files

Publication details

The article was received on 20 Jul 2018, accepted on 07 Aug 2018 and first published on 08 Aug 2018


Article type: Paper
DOI: 10.1039/C8AY01626G
Citation: Anal. Methods, 2018, Accepted Manuscript
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    Calcium alginate microparticles for rare earth elements preconcentration prior to ICP-MS measurements in fresh water

    G. G. A. Arantes de Carvalho, D. F. Petri and P. Oliveira, Anal. Methods, 2018, Accepted Manuscript , DOI: 10.1039/C8AY01626G

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