Affiliation:
1. School of Integrated Circuits, Guangdong University of Technology 1 , Guangzhou 510006, China
2. Department of Orthopedics, Pudong New District People’s Hospital 2 , Shanghai, China
Abstract
The current foodborne pathogen detection methods, such as culture-based methods, polymerase chain reaction, and optical and electrochemical biosensors with nucleic acid, have high sensitivity and selectivity. However, they are slow, expensive, and require well-trained operators. In this study, we utilized a 3D printer to develop a novel chip with an aptamer-based nanointerferometer capable of identifying four distinct foodborne pathogens: Listeria monocytogenes, Escherichia coli, Salmonella typhimurium, and Staphylococcus aureus. The aptamer sensor on the chip achieved a limit-of-detection of 10 colony forming unit (CFU)/ml. With its high sensitivity and specificity, this chip offers a cost-effective platform for distinguishing and screening different foodborne pathogens.
Funder
National Natural Science Foundation of China
Guangzhou Municipal Science and Technology Bureau
Shanghai Pudong New Area People’s Hospital Yuanhang Program Talent Training Project
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