Dissertation/Thesis Abstract

Comparison of pathogen detection methods in compost and compost characteristics as potential predictors of pathogen regrowth
by Reynnells, Russell Edward, M.S., University of Maryland, College Park, 2013, 143; 1552507
Abstract (Summary)

Improperly thermally treated compost can allow human pathogens to survive. Pathogens can regrow in finished compost due to recontamination or incomplete pathogen-kill. U.S. Environmental Protection Agency's (EPA) and U.S. Composting Council's (USCC) methodologies were compared to recover populations of inoculated non-pathogenic E. coli and pathogenic Salmonella spp. from finished compost. Two immunomagnetic separation (IMS) techniques were additionally compared for the rapid recovery of inoculated pathogenic E. coli O157:H7. Twenty-nine point-of-sale composts were obtained from 19 U.S. states. EPA methods recovered more (generic E. coli, p=0.0001) or statistically equal (Salmonella, p=0.27) amounts of inocula compared to USCC methods. Both IMS techniques identified with 3-4% false negatives among replicates. Physicochemical parameters of compost were tested as predictors of Salmonella and O157:H7 regrowth in finished compost. Salmonella and O157:H7 populations increased over three days in 48% and 52% of compost samples, respectively. No physicochemical measurements could predict the regrowth of Salmonella or O157:H7.

Indexing (document details)
Advisor: Felton, Gary
Commitee: Millner, Patricia D., Sharma, Manan, Yarwood, Stephanie
School: University of Maryland, College Park
Department: Environmental Science and Technology
School Location: United States -- Maryland
Source: MAI 52/05M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Food Science, Agriculture, Environmental science
Keywords: Compost, E. coli o157:h7 salmonella, Epa method 1680 1682, Immunomagnetic separation, Pathogen regrowth, Tmecc 07.01 07.02
Publication Number: 1552507
ISBN: 9781303725609
Copyright © 2019 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy
ProQuest