Detection of Foodborne Pathogens Using Microfluidic Channels

Description
Title: Detection of Foodborne Pathogens Using Microfluidic Channels
Authors: Hao, Xingkai
Date: 2015
Abstract: Rapid detection of foodborne pathogen is one of the most urgent problems in the world, because foodborne pathogen could cause serious illness, such as nausea, vomiting and diarrhea. We have developed a sensitive microfluidic system based on dendrimers and aptamers for rapid detection of Escherichia coli O157:H7 at very low cells concentration. Dendrimers, with high level of functional groups and homogeneous spherical shape, are prefect nanoscale polymers used as a template material by increasing sensitivity and specificity of analytes detection in microfluidics. In this work, we develop a sensitive microfluidic system based on dendrimers and aptamers for detecting Escherichia coli O157:H7 at very low cell concentrations. Carboxyl functionalized G7-polyamidoamine (PAMAM-COOH) dendrimers are immobilized on (3-aminopropyl)-trimethoxysilane (APTMS) pretreated microfluidic channels. The aptamers are subsequently conjugated on the immobilized dendrimes through chemicals. The sensitivity and specificity are validated by injecting fluorescein isothiocyanate (FITC) labelled Escherichia coli O157:H7 at various cells concentration into the resulting microchannels, indicating that the detectable cells concentration can be reached as low as 100 (cells/ml) and the detection time is 10 hours. To further exploit and improve the work efficiency our microfluidic device, the microfluidic channel is designed into a staggered herringbone microchannel (SHM) to create the chaotic dynamics inside the microfluidic device, and the SHM is then simulated by a COMSOL software showing that the staggered herringbone structures can improve chaotic dynamics of designed microchannel and will enhance the probability of particles to attach on the surface of microdevice. All the results show that our approach has the potential to develop the field of rapid and accurate detection on foodborne pathogens. 
URL: http://hdl.handle.net/10393/32171
http://dx.doi.org/10.20381/ruor-2851
CollectionThèses, 2011 - // Theses, 2011 -
Files