Fresh foods, including meats and produce are the fastest growing market in the supermarket and the class of foods most likely to cause a bacterial foodborne illness. As the rate of consumption of perishable products increases, rapid detection of pathogens within the food supply becomes a critical issue. Current methods used for the detection of bacteria that cause food-borne illnesses are time consuming, expensive and often require selective enrichment. In this study we adapted a separation technique originally developed for PCR to extract bacteria from ground beef using β-cyclodextrin (β-CD) and milk protein coated activated carbon (MP-CAC) as filtration agents. The recovered bacteria were bound to a gold slide via a 3-mercaptophenylboronic acid (3-MPBA) sandwich assay and detected with Surface Enhanced Raman Spectroscopy (SERS). The 3-MPBA sandwich assay used with the separation technique allowed detection of Salmonella enterica Enteritidis (BAA-1045), separated from a ground beef matrix, as low as 1x102 CFU/g. Detection at this level was accomplished in less than 8 hours, significantly faster than plate count or enrichment methods that require multiple days. Previously, SERS has been used to detect bacteria within simple matrices; this is the first study to have utilized SERS bacterial detection in a ground beef.
| Identifer | oai:union.ndltd.org:UMASS/oai:scholarworks.umass.edu:masters_theses_2-1656 |
| Date | 09 July 2018 |
| Creators | Tucker, Madeline |
| Publisher | ScholarWorks@UMass Amherst |
| Source Sets | University of Massachusetts, Amherst |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Masters Theses |
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