3D printed microfluidic chip integrated with nanointerferometer for multiplex detection of foodborne pathogens
Silu Feng,
Kongjin Mo,
Xin Song
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 St… Show more
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