Volume 17, Issue 103 (2020)                   FSCT 2020, 17(103): 109-118 | Back to browse issues page

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Mohammad-Razdari A, Ghasemi-Varnamkhasti M, rostami S, Izadi Z, Ensafi A A. Development of an impedimetric biosensor based on nanomaterial for determination of tetracycline in honey. FSCT 2020; 17 (103) :109-118
URL: http://fsct.modares.ac.ir/article-7-36055-en.html
1- Ph.D. student, Department of Mechanical Engineering Biosystems, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
2- Associate Professor, Department of Mechanical Engineering of Biosystems,Faculty of Agriculture, Shahrekord University.
3- Assistant Professor, Department of Mechanical Engineering of Biosystems,Faculty of Agriculture, Shahrekord University. , Izadi.1365@yahoo.com
4- Professor, Department of Chemistry, Isfahan University of Technology.
Abstract:   (1821 Views)
Determination of antibiotic residues in food including honey is very important. To data, various methods have been developed to determination of antibiotics in honey and other animal products. In recent years, the fabrication of electrochemical biosensors in combination with nanomaterial has attracted much attention. In the present study, an impedometric biosensor based on nanomaterial including reduced oxide grapheme (RGO) and gold nanoparticles (GNP) was developed for antibiotic detection of tetracycline in honey samples. Cyclic voltammetry and electrochemical impedance spectroscopy techniques were used to evaluate the working electrode surface. Peak current values in different modes were 0.034, 0.048, 0.09, 0.020 and 0.015 μA for unmodified electrode, RGO, GNP, aptamer and antibiotic, respectively. Biosensor characteristics including reproducibility, reproducibility, stability, and selectivity were evaluated using resistance charge transfer data, the results showed that they were acceptable. In order to calculate recovery percentage, concentrations of 1×10-9 and 1×10-11 M were prepared from tetracycline and injected into honey samples. The results showed that the proposed biosensor provides 94.1% to 104.4% recovery rate for tetracycline in honey samples.
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Article Type: Original Research | Subject: Food industry machines
Received: 2019/08/31 | Accepted: 2020/04/28 | Published: 2020/08/31

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