P2EC.17 - Electrochemical determination of erythromycin in drinking water resources by screen printed carbon electrodes

Event
17th International Meeting on Chemical Sensors - IMCS 2018
2018-07-15 - 2018-07-19
Vienna, Austria
Chapter
P-2 - Electrochemical Sensors
Author(s)
A. Veseli, F. Mullallari, T. Arbneshi - Department of Chemistry, Faculty of Natural and Mathematical Science, University of Prishtina ‘Hasan Prishtina’ Nëna Terezë, Prishtina (Republic of Kosovo), F. Balidemaj - Rochester Institute of Technology, Prishtina (Republic of Kosovo), L. Švorc - Institute of Analytical Chemistry, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Bratislava (Slovak Republic)
Pages
730 - 731
DOI
10.5162/IMCS2018/P2EC.17
ISBN
978-3-9816876-9-9
Price
free

Abstract

Erythromycin (ERY) belongs to a class of antibiotics that is suggested as one of the prior drinking water contaminants at latest European Union Water Framework Directive (EU – WDF). Therefore, the main goal of this study was to develop a new and sensitive analytical method for quantitative determination of ERY based on the use of screen printed carbon electrodes (SPCEs) modified with sodium dodecyl sulfate. The electrochemical oxidation of ERY was investigated for the purpose of its flow-injection amperometric determination (in phosphate buffer solution pH 8.50) with a detection potential of -700 mV. Using flow injection analysis (FIA) the modified SPCE showed a linear dynamic range up to 15 mg/L with a detection limit (3σ) of 0.14 mg/L (Ed = -700 mV). The reproducibility of the amperometric detection with the five different SPCEs was expressed as RSD with the achieved value of 2.99 % for five successive injections of 5 mg/L of ERY and did not present any memory effect. The proposed sensor is low-cost and easily applicable by user in real samples. Optimized method was applied for the determination of ERY in pretreated surface water. Finally, the applicability of using SPCEs for the electrochemical detection of ERY (i.e. for quality control analysis) was demonstrated by using FIA in a surface pretreated water spiked samples.

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