Date of Award

10-23-2014

Document Type

Dissertation

Degree Name

Molecular Biosciences, Ph.D.

First Advisor

David Gilmore

Second Advisor

Soohyoun Ahn

Committee Members

Jennifer Bouldin; Steven Ricke

Call Number

LD 251 .A566d 2014 A89

Abstract

Salmonella is the leading cause of foodborne illnesses in the United States. Recent outbreaks associated with Salmonella-contaminated foods and related economic loss show the need for effective strategies to control Salmonella in foods. Because of deleterious effects of Salmonella on public health and economy, it is highly desirable to develop a detection method that can identify Salmonella in food with good sensitivity and rapidity. The goal of this study was to develop a sensitive, rapid, and specific bead-based multiplexing array system to identify Salmonella at the serotype level as a method of effectively monitoring food samples for the presence of Salmonella. For this goal, a bead-based suspension array coupled with PCR amplification was developed to detect and differentiate Salmonella in poultry. Poultry has been chosen as a target for this study because poultry and its products are the primary food vehicles in Salmonella-related infections to humans. The developed bead-based multiplex suspension array was able to detect synthetic DNA targets of complementary sequence at a concentration as low as 1 pM within 3 hrs of total assay time. When combined with PCR, the developed array could detect Salmonella at 30 CFU/mL from overnight grown cultures within 5 hrs. The developed bead-based suspension array was also able to detect Salmonella spp. at concentrations as low as 3 CFU/25 g of chicken breast and drumstick samples with 12 hr of enrichment. Additionally, this assay was able to distinguish seven different serovars commonly associated with Salmonella outbreaks (Anatum, Enteritidis, Gaminara, Infantis, Motevideo, Stanely, and Typhimurium) by recognizing their signal patterns. Results from this study suggest that the developed array is a rapid and reliable tool to simultaneously detect and differentiate multiple Salmonella serotypes. Moreover, the developed array shows a great potential to be adapted for simultaneous detection of multiple pathogens in foods.

Rights Management

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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