Publication details

Determination of Cd and Zn with “green” screen-printed electrodes modified with instantly prepared sparked tin nanoparticles

Authors

TRACHIOTI Maria HRBÁČ Jan PRODROMIDIS Mamas

Year of publication 2018
Type Article in Periodical
Magazine / Source Sensors and Actuators B
MU Faculty or unit

Faculty of Science

Citation
Web http://dx.doi.org/10.1016/j.snb.2017.10.039
Doi http://dx.doi.org/10.1016/j.snb.2017.10.039
Keywords “Green”; generation of tin nanoparticles; Sparked electrodes; Tin electrodes; Anodic stripping voltammetric determination of Cd and Zn; Water analysis
Description Graphite screen-printed electrodes (GSPEs) modified with tin nanoparticles (SnNPs) through a “green”, fast and extremely facile sparking process were used for the anodic stripping voltammetric determination of trace Cd and Zn. The effect of the magnitude of the energy dissipated during sparking events as well as other sparking parameters on the amount of the deposited tin, the morphology of the sparked surfaces and the electroanalytical properties of SnNP/GSPEs were investigated. Experiments were performed in the presence of bromide ions, which were used to enable well-resolved stripping peaks for cadmium. Other experimental variables, such as the pH of the supporting electrolyte, the square wave voltammetry parameters, the concentration of bromide ions, the deposition potential and the deposition time were also examined. Copper interference on Cd and Zn detection was effectively alleviated by the addition of ferrocyanide and gallium ions, respectively. Under selected conditions, the limits of detection,for 2min preconcentration time, were 0.5ugL-1 Cd and 0.3ugL-1 Zn. SnNP/GSPEs were successfully applied to the determination of Cd and Zn in tap and bottled water samples. Results suggest that sparked SnNP/GSPEs represent a new promising type of environmentally friendly sensors for the determination of Cd and Zn in the sub-microgram-per-liter level that surpass those previously given in the literature in terms of simplicity, cost, time, labor effort, waste loadings of the modification procedure, and low cost of the final sensor.

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