Decision Making Tools for Optimizing Environmental Sampling Plans for Listeria in Poultry Processing Plants
| dc.contributor.author | Al Wahaimed, Abdullah Saud | en |
| dc.contributor.committeechair | Eifert, Joseph D. | en |
| dc.contributor.committeemember | Wu, Jian | en |
| dc.contributor.committeemember | Ponder, Monica A. | en |
| dc.contributor.department | Food Science and Technology | en |
| dc.date.accessioned | 2022-07-09T08:00:12Z | en |
| dc.date.available | 2022-07-09T08:00:12Z | en |
| dc.date.issued | 2022-07-08 | en |
| dc.description.abstract | Meat and poultry slaughtering and processing practices have been associated with the microbial contamination with Listeria spp. Ready-to-eat poultry products have been considered as a primary agent associated with Listeria monocytogenes illness outbreaks. Developing environmental monitoring programs (EMPs) that are based on product and/or process risk level analysis is a useful approach to reduce contamination in poultry processing plants and enhance food safety. Sampling criteria that is based on product risk levels and process control in ready-to-eat poultry processing facilities was developed to allow users to design and conduct appropriate sampling plans to target Listeria spp. After developing the criteria, an internet-based environmental monitoring program ("EZSafety") was developed to allow poultry producers to enhance their sample collection and analysis of test results over time and conduct appropriate sampling plans for Listeria spp. and other microbiological indicators. The frontend of the program website was built using React Native (an open-source JavaScript library for building user interfaces). The backend of the program website was built using Node.js which executes JavaScript code outside a web browser. MongoDB was used as a document-oriented database for the website. The program was evaluated by 20 food safety professionals to assess its ability to develop appropriate sampling plans to target Listeria spp. The majority of these participants believed that EZSafety has several tools that are effective for targeting Listeria spp. and other indicators and enhancing environmental monitoring. Additionally, most participants agreed that EZSafety is organized and user-friendly. EMPs can play a significant role in improving the detection rate and the prevention of Listeria spp. and other indicators in poultry processing plants. | en |
| dc.description.abstractgeneral | Meat and poultry slaughtering and processing practices have been associated with the microbial contamination with a bacterium known as Listeria. Cooked poultry products during the manufacturing process have been considered as a primary agent associated with Listeria monocytogenes (disease causing type of bacteria) sickness outbreaks. Developing environmental monitoring plans to detect and prevent this bacterium in poultry processing establishments is a useful approach to reduce contamination and enhance food safety. Several guidelines and baselines were developed to allow users to design and conduct appropriate environmental monitoring plans to target this bacterium. After developing these guidelines and baselines, an internet-based environmental monitoring program ("EZSafety") was developed to allow poultry processors to enhance their sample collection and analysis of test results over time. The program was developed using several kinds of computer platforms (JavaScript, React Native, and MongoDB) . These open-source platforms were used to design, develop, and store the program over the internet. In order to validate its usefulness, the program was evaluated by 20 users who are majored in food safety and familiar with poultry processing plants hygiene to assess its ability to suggest appropriate monitoring plans. Most of the participants believed that EZSafety has several tools that are effective for targeting Listeria and other kinds of bacteria and enhancing environmental monitoring plans. Additionally, most participants agreed that EZSafety is organized and user-friendly. Such automated monitoring programs can play a significant role in enhancing the detection rate and the prevention of Listeria and other organisms in poultry processing facilities. | en |
| dc.description.degree | Master of Science in Life Sciences | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:35303 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/111189 | en |
| dc.language.iso | en | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | listeriosis | en |
| dc.subject | Listeria monocytogenes | en |
| dc.subject | environmental monitoring | en |
| dc.subject | contamination | en |
| dc.subject | sampling | en |
| dc.subject | processing plants | en |
| dc.title | Decision Making Tools for Optimizing Environmental Sampling Plans for Listeria in Poultry Processing Plants | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | Food Science and Technology | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | masters | en |
| thesis.degree.name | Master of Science in Life Sciences | en |
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