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Atomic Spectroscopy

Determination of Cadmium in Water Samples by Automated Flow-Batch Cloud Point Extraction (CPE) Hyphenated to High-Resolution Continuum Source Flame Atomic Spectrometry (HR-CS FAAS)

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Pages 741-754 | Received 16 Apr 2021, Accepted 03 Aug 2021, Published online: 20 Aug 2021
 

Abstract

A computer-controlled multicommuted flow-batch system is reported that allows for the online cloud point extraction of metal ions followed by high-resolution continuum source flame atomic absorption spectrometric (HR-CS GFAAS) detection. This approach combines reduced sample and reagent consumption and a short analysis time with the increased precision and sensitivity characteristic of flow-batch analysis and modern extraction techniques. As proof of concept, cadmium in aqueous solutions was determined by the formation of a hydrophobic complex [Cd(PAN)2]. Parameters related to complex formation (pH, pyridyl-azo-naphthol-PAN concentration, complexation time), cloud point extraction (Triton X-114 concentration, electrolyte composition, rich phase trapping), and the multicommuted flow-batch system (flow rates, timing control) were optimized. A small column packed with hydrophobic cotton was used as the interface between the extraction and detection stages to stack the cadmium-containing rich phase in a short plug. Optimized parameters led to a 5.0 to 75.0 µg L−1 linear range, 1.3 µg L−1 limit of detection, 4.3 µg L−1 limit of quantification and 1.8% coefficient of variation (n = 12). Accuracy was evaluated by analyzing a certified reference material EP-H (drinking water) and by recovery tests employing tap water, groundwater, mineral water, and reuse water samples.

Conflict of interest statement

The authors declare no conflicts of interest.

Additional information

Funding

The authors are grateful to the FAPESP (São Paulo Foundation Research – 2011/19730-3, 2016/23878-0 and 2015/11.523-0) and CAPES (Coordination of Superior Level Staff Improvement – Finance Code 001) for financial support and Multiuser Central Facilities (UFABC) for experimental support. I. Gaubeur thanks CNPq (National Research Council) for a grant (308586/2018-2).

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