Tools for Evaluating the Human Health Risks Associated with Microbial Contamination of Apples

dc.contributor.advisorMeschke, Scotten_US
dc.contributor.authorNagata, Jonathanen_US
dc.date.accessioned2015-09-29T18:02:54Z
dc.date.available2015-09-29T18:02:54Z
dc.date.issued2015-09-29
dc.date.submitted2015en_US
dc.descriptionThesis (Master's)--University of Washington, 2015en_US
dc.description.abstractThis thesis incorporates laboratory methods, risk assessment modeling, and policy analysis to address food safety issues related to microbial contamination of apple crops. Chapter 1 provides an introduction to microbial food safety issues and apple production in the United States. It also broadly discusses the conceptual underpinnings for the three subsequent chapters and specific aims of the thesis. More robust background information is provided within the respective chapters. Chapter 2 provides an analysis of a novel method for the quantification of E. coli on apple surfaces. Chapter 3 aims to evaluate the health risks of apple contamination under varying harvest and cleaning conditions, utilizing three quantitative microbial risk assessment models. The policy relevance of the study is discussed in Chapter 4, incorporating history of food safety policy, broad policy process frameworks, and a discussion of the relevant policy development stages in which the study findings may apply. As a whole, this thesis is intended to provide an interdisciplinary approach to issues surrounding apple production and consumption.en_US
dc.embargo.termsOpen Accessen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.otherNagata_washington_0250O_14780.pdfen_US
dc.identifier.urihttp://hdl.handle.net/1773/33838
dc.language.isoen_USen_US
dc.rightsCopyright is held by the individual authors.en_US
dc.subjectApples; Food safety; QMRAen_US
dc.subject.otherEnvironmental healthen_US
dc.subject.otherenvironmental healthen_US
dc.titleTools for Evaluating the Human Health Risks Associated with Microbial Contamination of Applesen_US
dc.typeThesisen_US

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