Journal
JOURNAL OF HAZARDOUS MATERIALS
Volume 413, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jhazmat.2021.125265
Keywords
Binary nanosheets; Antibiotic drug; Bismuth telluride nanosheets; Graphitic carbon nitrides; Meat analysis
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Funding
- NTUT
- MOST, Taiwan (ROC) [1072113M027005MY3]
- King Saud University, Riyadh, Saudi Arabia [RSP-2020/265]
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The study successfully developed an electrochemical sensor for the rapid detection of salbutamol using bismuth telluride-decorated graphitic carbon nitride nanostructures as modified electrodes. The sensor exhibited a low detection limit, wide linear dynamic range, and good stability and reproducibility performances.
The design and fabrication of effective electrochemical sensor for ultrasensitive detection of feed additive and multidrug are highly significant in food analysis. In this work, we explored to develop the possibility for rapid detection of feed additive drug using bismuth telluride (Bi2Te3) decorated graphitic carbon nitrides (GCN) nanostructures as a modified electrode for electrochemical sensing. Herein, the modified electrode was focused on the development of electrocatalytic performances for the determination of salbutamol in food products. The electrochemical sensors are developed by bismuth telluride sheets interconnected with graphitic carbon nitrides sheets (Bi2Te3/GCN) on to a screen-printed carbon electrode. The binary nanosheets of Bi2Te3/GCN exhibited an enhanced electrocatalytic ability towards salbutamol detection owing to their selective adsorption, by the combination of electrostatic interaction of binary nanosheets and the formation of charge assisted interactions between salbutamol and Bi2Te3/GCN surfaces. A nanomolar limit of detection (1.36 nM) was calculated in 0.05 M phosphate buffer (PB) supporting electrolyte (pH 7.0) using differential pulse voltammetry. The linear dynamic ranges with respect to salbutamol concentration were 0.01?892.5 ?M, and the sensitivity of the sensor was 36.277 ?A ?M?1 cm?2. The sensor stability and reproducibility performances were observed. However, the obtained results are highly satisfactory which suggest the application of binary nanosheets in real-time food analysis.
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