(2021) Electrochemical aptasensor for Escherichia coli O157:H7 bacteria detection using a nanocomposite of reduced graphene oxide, gold nanoparticles and polyvinyl alcohol. Analytical Methods. pp. 3101-3109. ISSN 1759-9660
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Abstract
In recent years, public attention has drawn to food safety due to the constant outbreaks of foodborne diseases; subsequently, to control and prevent this group of diseases, early screening of foodborne pathogens has become significant. In this study, a new aptamer-based electrochemical sensor was proposed to detect Escherichia coli O157:H7 (E. coli), one of the most threatening bacterial pathogens, using nanoparticles-modified glassy carbon electrode. Firstly, the electrode was coated with a reduced graphene oxide-poly(vinyl alcohol) and gold nanoparticles nanocomposite (AuNPs/rGO-PVA/GCE) to increase the electrode surface area and consequently raise the sensor sensitivity. Afterwards, to enhance the selectivity of the modified electrode, aptamers were attached to the surface of the prepared electrode. The prepared electrode was characterized using energy-dispersive spectroscopy, field-emission scanning electron microscopy, atomic force microscopy, Fourier-transform infrared spectroscopy, and electrochemical impedance spectroscopy. The relationship of the E. coli concentration and the peak current in the range from 9.2 CFU mL(-1) to 9.2 x 10(8) CFU mL(-1) was linear, and the limit of detection was calculated as 9.34 CFU mL(-1). The suitability of the proposed sensor for real sample measurements was investigated by recovery studies in tap water, milk, and meat samples. The results showed that the biosensor and traditional culture counting methods are equally sensitive for detecting E. coli.
Item Type: | Article |
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Keywords: | sensitive detection impedimetric aptasensor biosensor immunosensor aptamer identification electrode chitosan Chemistry Food Science & Technology Spectroscopy |
Page Range: | pp. 3101-3109 |
Journal or Publication Title: | Analytical Methods |
Journal Index: | ISI |
Volume: | 13 |
Number: | 27 |
Identification Number: | https://doi.org/10.1039/d1ay00563d |
ISSN: | 1759-9660 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/9556 |
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