This work begins with chemotaxis studies involving Salmonella typhimurium. Known chemical attractants (ribose, aspartic acid, etc.) and repellents (nickel chloride, sodium acetate, etc.) were tested to direct bacteria swimming patterns. It was found that high concentrations of both attractant and repellent, approximately 10% chemical in deionized (DI) water, yielded better separation results than lower concentrations, such as 1% and .1% chemical in DI water. Utilizing these attractants or repellents appropriately can allow live bacteria to be directed in a desired manner in a microfluidic device, while dead bacteria, which yield no response, can be separated into a waste reservoir.
Another important aspect of bacteria separation is preconcentration, or the process of concentrating bacteria in a usable amount of liquid for further analysis in a microfluidic device. This study introduces a method of capturing Salmonella typhimurium through the use of magnetic nanoparticles (MNPs) without functionalizing them with antibody or amine coatings. Based on the work by Deng et al., MNPs were prepared in various ways to alter their diameter and surface characteristics to achieve optimal bacteria capture efficiency. A capture efficiency of approximately 94% has been achieved by altering chemical quantities in the MNP fabrication process. A macro-scale flow cell prototype was designed and characterized in order to ‘clean’ large volumes of buffer and separate the bacteria-MNP aggregates through the use of a magnetic field.
Finally, intervention of bacteria is a significant topic in food safety applications. This study utilizes Fe (III) to inhibit bacteria growth. This chemical was used in the presence of Salmonella, E. coli, Staphylococcus, and Pseudomonas. Further experiments were conducted with raw chicken and lettuce contaminated with Salmonella typhimurium. Using as little as .005M Fe III in DI water, up to 5 orders of magnitude reduction in bacteria growth was seen on test plates as compared to control plates.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/49086 |
| Date | 20 September 2013 |
| Creators | Pizzo, Amber |
| Contributors | Hesketh, Peter |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
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