In-situ immuno-gold nanoparticle network ELISA biosensors for pathogen detection

Abstract

Food poisoning microorganisms that contaminate food products and compromise food safety and security have been considered a major health threat and a serious concern for food producers and processors. Developing sensor technologies that are rapid for sensitive and selective detection and quantification of pathogens is a high priority for scientists in academia, state and federal research institutes, and industries. In this work we propose an in-situ immuno-AuNP network-based ELISA biosensor integrated with a sample concentration step based on immuno-magnetic separation to detect pathogenic microorganisms with high sensitivity. The sensor system was optimized by the specific formation of immuno-AuNP network onto the antigenic site present at the outer membrane surface of bacteria and the analytical concept was validated by a microtiter immunoassay. The in-situ network biosensor was able to detect pathogens at extremely low numbers: 3 cells/mL of Escherichia coli O157:H7 and Salmonella typhimurium in buffer and 3 CFU/mL of E. coli O157:H7 and 15 CFU/mL of S. typhimurium in real sample conditions within 2 h of inoculation. The ability to monitor target bacteria with improved analytical sensitivity compared to the current techniques presents a unique opportunity for routine monitoring to improve the safety of foods. (C) 2013 Elsevier B.V. All rights reserved.

Keywords

Foodborne pathogens; Rapid detection; Sensitive; Immuno-magnetic separation; Immuno-gold nanoparticles; LISTERIA-MONOCYTOGENES; STAPHYLOCOCCUS-AUREUS; FOODBORNE PATHOGENS; FOOD SAMPLES; PCR; SALMONELLA; QUANTIFICATION; SPECTROSCOPY; PRODUCTS; PROTEINS

DOI

10.1016/j.ijfoodmicro.2013.02.025

Citation

International Journal of Food Microbiology: Volume 164, Issue 1, 3 June 2013, Pages 70–75

Date of this Version

6-3-2013

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