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13 May 2015 Rapid detection of listeria spp. using an internalin A aptasensor based on carbon-metal nanohybrid structures
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Foodborne outbreaks caused by Listeria monocytogenes continue to raise major public health concerns worldwide. In the United States alone, the centers for disease control and prevention have confirmed the occurrence of 183 cases of listeriosis with 39 fatalities within the last 3 years. Standard methods for the detection of pathogenic strains require up to 7 days to yield results, thus faster techniques with the same level of reliability for bacteria detection are desirable. This study reports on the development of a rapid, accurate, and sensitive electrochemical biosensor for rapid testing of Listeria spp. based on the selective binding of InlA aptamers to internalins in the cell membrane of the target bacteria. Hybrid nanomaterial platforms based on reduced graphene oxide and nanoplatinum were deposited onto Pt/Ir electrodes for enhancing electrochemical transduction during the recognition events. InlA aptamers were immobilized onto the nanomaterial platforms via metal-thiol adsorption. Aptamer loading onto different platform nanostructures was investigated through cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The detection mechanism was evaluated by recording the electrochemical response to several bacterial dilutions in PBS buffer using the non-pathogenic species Listeria innocua. These preliminary results show that the aptasensor can be tuned for detection of Listeria concentrations as low as 100 CFU/ml in less than 3 hours (including incubation time and data analysis). The developed aptasensor opens a promising direction for rapid testing of Listeria monocytogenes in food products.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. C. Vanegas, Yue Rong, N. Schwalb, K. D. Hills, C. Gomes, and E. S. McLamore "Rapid detection of listeria spp. using an internalin A aptasensor based on carbon-metal nanohybrid structures", Proc. SPIE 9487, Smart Biomedical and Physiological Sensor Technology XII, 948708 (13 May 2015);

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